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z9aQo0{%=;srzE>NYf4hxvxDe%A|}D*kKG!-stI)wsy9^!|NbB2pUS50KvPyFBvLRp zH6hkDoF?+nTIGrS8&VS*M|0Pp0sd2M5+<~yjz9IJ{rx$G3A@`2C1ng#wNx_md0i#Mh3|#scDHuNk--t UsYYq3DTaw=Nk*HuGHzc80NLvm#Q*>R delta 64 zcmaEJjOooWrVTBOhM5_~mFYP~<@(0PNvXyumWJjgsU`*%2F6Avrj|)5X_jdwh89W5 U1|}vZmZmAm$tjz+GHzc80OElaz5oCK diff --git a/master/.doctrees/migrating/migrate_v2.doctree b/master/.doctrees/migrating/migrate_v2.doctree index 7de9c063edb7a3d31b3582c313442110938d3817..28b8d71a3e5b8fd3bb9b2f018b8e594fad12b77f 100644 GIT binary patch delta 64 zcmbPsn{nE0#tn-Z4Rgv(O*1nL3-puCP1BN%4N_B0j7^M\n", " 0\n", " False\n", - " 0.100326\n", + " 0.100541\n", " 7\n", " 6\n", " \n", " \n", " 1\n", " False\n", - " 0.998723\n", + " 0.998729\n", " 0\n", " 0\n", " \n", @@ -921,14 +921,14 @@ " \n", " 3\n", " False\n", - " 0.981028\n", + " 0.980980\n", " 8\n", " 8\n", " \n", " \n", " 4\n", " False\n", - " 0.998219\n", + " 0.998217\n", " 5\n", " 5\n", " \n", @@ -938,11 +938,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 False 0.100326 7 6\n", - "1 False 0.998723 0 0\n", + "0 False 0.100541 7 6\n", + "1 False 0.998729 0 0\n", "2 False 0.998768 0 0\n", - "3 False 0.981028 8 8\n", - "4 False 0.998219 5 5" + "3 False 0.980980 8 8\n", + "4 False 0.998217 5 5" ] }, "execution_count": 17, @@ -969,10 +969,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.873201Z", - "iopub.status.busy": "2023-11-02T15:06:03.872566Z", - "iopub.status.idle": "2023-11-02T15:06:03.880593Z", - "shell.execute_reply": "2023-11-02T15:06:03.878738Z" + "iopub.execute_input": "2023-11-04T09:15:03.819463Z", + "iopub.status.busy": "2023-11-04T09:15:03.819085Z", + "iopub.status.idle": "2023-11-04T09:15:03.823767Z", + "shell.execute_reply": "2023-11-04T09:15:03.823209Z" } }, "outputs": [ @@ -981,7 +981,7 @@ "output_type": "stream", "text": [ "Here are indices of the most likely errors: \n", - " [1946 469 516 1871 1955 2132]\n" + " [ 469 516 1946 1871 1955 2132]\n" ] } ], @@ -1010,10 +1010,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.886485Z", - "iopub.status.busy": "2023-11-02T15:06:03.885904Z", - "iopub.status.idle": "2023-11-02T15:06:03.895979Z", - "shell.execute_reply": "2023-11-02T15:06:03.894718Z" + "iopub.execute_input": "2023-11-04T09:15:03.826153Z", + "iopub.status.busy": "2023-11-04T09:15:03.825785Z", + "iopub.status.idle": "2023-11-04T09:15:03.831847Z", + "shell.execute_reply": "2023-11-04T09:15:03.831282Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1046,11 +1046,6 @@ " \n", " \n", " \n", - " 1946\n", - " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav\n", - " 6\n", - " \n", - " \n", " 469\n", " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_35.wav\n", " 6\n", @@ -1061,6 +1056,11 @@ " 6\n", " \n", " \n", + " 1946\n", + " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav\n", + " 6\n", + " \n", + " \n", " 1871\n", " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_theo_27.wav\n", " 6\n", @@ -1081,17 +1081,17 @@ ], "text/plain": [ " wav_audio_file_path \\\n", - "1946 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav \n", "469 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_35.wav \n", "516 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_36.wav \n", + "1946 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav \n", "1871 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_theo_27.wav \n", "1955 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/4_george_31.wav \n", "2132 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_nicolas_8.wav \n", "\n", " label \n", - "1946 6 \n", "469 6 \n", "516 6 \n", + "1946 6 \n", "1871 6 \n", "1955 4 \n", "2132 6 " @@ -1133,10 +1133,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.901407Z", - "iopub.status.busy": "2023-11-02T15:06:03.900833Z", - "iopub.status.idle": "2023-11-02T15:06:04.118777Z", - "shell.execute_reply": "2023-11-02T15:06:04.117801Z" + "iopub.execute_input": "2023-11-04T09:15:03.834419Z", + "iopub.status.busy": "2023-11-04T09:15:03.834045Z", + "iopub.status.idle": "2023-11-04T09:15:03.946815Z", + "shell.execute_reply": "2023-11-04T09:15:03.946244Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1190,10 +1190,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:04.122845Z", - "iopub.status.busy": "2023-11-02T15:06:04.122302Z", - "iopub.status.idle": "2023-11-02T15:06:04.327446Z", - "shell.execute_reply": "2023-11-02T15:06:04.326294Z" + "iopub.execute_input": "2023-11-04T09:15:03.949212Z", + "iopub.status.busy": "2023-11-04T09:15:03.948896Z", + "iopub.status.idle": "2023-11-04T09:15:04.054984Z", + "shell.execute_reply": "2023-11-04T09:15:04.054333Z" }, "id": 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"_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_775148660f914632b990f808c9f0b32b", + "placeholder": "​", + "style": "IPY_MODEL_641944556d5d46999c8ead2f69d2dcf0", + "value": " 2.04k/2.04k [00:00<00:00, 356kB/s]" } }, - "f010c59fa4544f51a81502e94c47fb22": { + "fbc243d47eba4612b5fdb9f1f34f5236": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -3025,67 +3086,6 @@ "visibility": null, "width": null } - }, - "f7bb92a3c4d24f6e8e4e004b71947217": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", - 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"metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:11.086934Z", - "iopub.status.busy": "2023-11-02T15:06:11.086595Z", - "iopub.status.idle": "2023-11-02T15:06:12.917767Z", - "shell.execute_reply": "2023-11-02T15:06:12.916683Z" + "iopub.execute_input": "2023-11-04T09:15:09.183339Z", + "iopub.status.busy": "2023-11-04T09:15:09.183150Z", + "iopub.status.idle": "2023-11-04T09:15:10.206196Z", + "shell.execute_reply": "2023-11-04T09:15:10.205458Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -118,10 +118,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.922525Z", - "iopub.status.busy": "2023-11-02T15:06:12.922014Z", - "iopub.status.idle": "2023-11-02T15:06:12.928781Z", - "shell.execute_reply": "2023-11-02T15:06:12.927775Z" + "iopub.execute_input": "2023-11-04T09:15:10.209030Z", + "iopub.status.busy": "2023-11-04T09:15:10.208746Z", + "iopub.status.idle": "2023-11-04T09:15:10.212027Z", + "shell.execute_reply": "2023-11-04T09:15:10.211420Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.933655Z", - "iopub.status.busy": "2023-11-02T15:06:12.933299Z", - "iopub.status.idle": "2023-11-02T15:06:12.947575Z", - "shell.execute_reply": "2023-11-02T15:06:12.946455Z" + "iopub.execute_input": "2023-11-04T09:15:10.214512Z", + "iopub.status.busy": "2023-11-04T09:15:10.214167Z", + "iopub.status.idle": "2023-11-04T09:15:10.223374Z", + "shell.execute_reply": "2023-11-04T09:15:10.222763Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.951765Z", - "iopub.status.busy": "2023-11-02T15:06:12.951149Z", - "iopub.status.idle": "2023-11-02T15:06:12.960515Z", - "shell.execute_reply": "2023-11-02T15:06:12.959576Z" + "iopub.execute_input": "2023-11-04T09:15:10.225703Z", + "iopub.status.busy": "2023-11-04T09:15:10.225319Z", + "iopub.status.idle": "2023-11-04T09:15:10.230255Z", + "shell.execute_reply": "2023-11-04T09:15:10.229767Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.965024Z", - "iopub.status.busy": "2023-11-02T15:06:12.964445Z", - "iopub.status.idle": "2023-11-02T15:06:13.473895Z", - "shell.execute_reply": "2023-11-02T15:06:13.472813Z" + "iopub.execute_input": "2023-11-04T09:15:10.232748Z", + "iopub.status.busy": "2023-11-04T09:15:10.232387Z", + "iopub.status.idle": "2023-11-04T09:15:10.498963Z", + "shell.execute_reply": "2023-11-04T09:15:10.498370Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:13.478915Z", - "iopub.status.busy": "2023-11-02T15:06:13.478587Z", - "iopub.status.idle": "2023-11-02T15:06:14.094416Z", - "shell.execute_reply": "2023-11-02T15:06:14.092993Z" + "iopub.execute_input": "2023-11-04T09:15:10.501998Z", + "iopub.status.busy": "2023-11-04T09:15:10.501574Z", + "iopub.status.idle": "2023-11-04T09:15:10.866581Z", + "shell.execute_reply": "2023-11-04T09:15:10.865921Z" } }, "outputs": [ @@ -568,10 +568,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:14.099107Z", - "iopub.status.busy": "2023-11-02T15:06:14.098691Z", - "iopub.status.idle": "2023-11-02T15:06:14.147925Z", - "shell.execute_reply": "2023-11-02T15:06:14.146867Z" + "iopub.execute_input": "2023-11-04T09:15:10.869484Z", + "iopub.status.busy": "2023-11-04T09:15:10.869099Z", + "iopub.status.idle": "2023-11-04T09:15:10.893257Z", + "shell.execute_reply": "2023-11-04T09:15:10.892622Z" } }, "outputs": [], @@ -607,10 +607,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:14.152864Z", - "iopub.status.busy": "2023-11-02T15:06:14.152468Z", - "iopub.status.idle": "2023-11-02T15:06:14.179295Z", - "shell.execute_reply": "2023-11-02T15:06:14.178211Z" + "iopub.execute_input": "2023-11-04T09:15:10.896037Z", + "iopub.status.busy": "2023-11-04T09:15:10.895527Z", + "iopub.status.idle": "2023-11-04T09:15:10.905023Z", + "shell.execute_reply": "2023-11-04T09:15:10.904527Z" } }, "outputs": [], @@ -641,10 +641,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:14.184202Z", - "iopub.status.busy": "2023-11-02T15:06:14.183853Z", - "iopub.status.idle": "2023-11-02T15:06:16.596152Z", - "shell.execute_reply": "2023-11-02T15:06:16.594931Z" + "iopub.execute_input": "2023-11-04T09:15:10.907734Z", + "iopub.status.busy": "2023-11-04T09:15:10.907226Z", + "iopub.status.idle": "2023-11-04T09:15:12.151359Z", + "shell.execute_reply": "2023-11-04T09:15:12.150383Z" } }, "outputs": [ @@ -708,10 +708,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.602077Z", - "iopub.status.busy": "2023-11-02T15:06:16.600918Z", - "iopub.status.idle": "2023-11-02T15:06:16.651191Z", - "shell.execute_reply": "2023-11-02T15:06:16.648313Z" + "iopub.execute_input": "2023-11-04T09:15:12.154857Z", + "iopub.status.busy": "2023-11-04T09:15:12.154365Z", + "iopub.status.idle": "2023-11-04T09:15:12.183093Z", + "shell.execute_reply": "2023-11-04T09:15:12.182524Z" } }, "outputs": [ @@ -820,10 +820,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.655531Z", - "iopub.status.busy": "2023-11-02T15:06:16.655191Z", - "iopub.status.idle": "2023-11-02T15:06:16.697388Z", - "shell.execute_reply": "2023-11-02T15:06:16.696260Z" + "iopub.execute_input": "2023-11-04T09:15:12.185873Z", + "iopub.status.busy": "2023-11-04T09:15:12.185641Z", + "iopub.status.idle": "2023-11-04T09:15:12.206777Z", + "shell.execute_reply": "2023-11-04T09:15:12.206148Z" } }, "outputs": [ @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.701505Z", - "iopub.status.busy": "2023-11-02T15:06:16.701158Z", - "iopub.status.idle": "2023-11-02T15:06:16.726996Z", - "shell.execute_reply": "2023-11-02T15:06:16.726070Z" + "iopub.execute_input": "2023-11-04T09:15:12.209177Z", + "iopub.status.busy": "2023-11-04T09:15:12.208934Z", + "iopub.status.idle": "2023-11-04T09:15:12.224868Z", + "shell.execute_reply": "2023-11-04T09:15:12.224230Z" } }, "outputs": [ @@ -1068,17 +1068,17 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.732748Z", - "iopub.status.busy": "2023-11-02T15:06:16.730903Z", - "iopub.status.idle": "2023-11-02T15:06:16.776002Z", - "shell.execute_reply": "2023-11-02T15:06:16.775020Z" + "iopub.execute_input": "2023-11-04T09:15:12.227508Z", + "iopub.status.busy": "2023-11-04T09:15:12.227072Z", + "iopub.status.idle": "2023-11-04T09:15:12.249442Z", + "shell.execute_reply": "2023-11-04T09:15:12.248820Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "686e3447fcc34034afeeb20adeff7468", + "model_id": "f5f0008f43c04dce869bbe61f6e304b2", "version_major": 2, "version_minor": 0 }, @@ -1114,10 +1114,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.780177Z", - "iopub.status.busy": "2023-11-02T15:06:16.779668Z", - "iopub.status.idle": "2023-11-02T15:06:16.805160Z", - "shell.execute_reply": "2023-11-02T15:06:16.804129Z" + "iopub.execute_input": "2023-11-04T09:15:12.252086Z", + "iopub.status.busy": "2023-11-04T09:15:12.251505Z", + "iopub.status.idle": "2023-11-04T09:15:12.266752Z", + "shell.execute_reply": "2023-11-04T09:15:12.266200Z" } }, "outputs": [ @@ -1235,10 +1235,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.809517Z", - "iopub.status.busy": "2023-11-02T15:06:16.809018Z", - "iopub.status.idle": "2023-11-02T15:06:16.819879Z", - "shell.execute_reply": "2023-11-02T15:06:16.819052Z" + "iopub.execute_input": "2023-11-04T09:15:12.269428Z", + "iopub.status.busy": "2023-11-04T09:15:12.268926Z", + "iopub.status.idle": "2023-11-04T09:15:12.275934Z", + "shell.execute_reply": "2023-11-04T09:15:12.275414Z" } }, "outputs": [], @@ -1295,10 +1295,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:16.824396Z", - "iopub.status.busy": "2023-11-02T15:06:16.823917Z", - "iopub.status.idle": "2023-11-02T15:06:16.856890Z", - "shell.execute_reply": "2023-11-02T15:06:16.855650Z" + "iopub.execute_input": "2023-11-04T09:15:12.278501Z", + "iopub.status.busy": "2023-11-04T09:15:12.277989Z", + "iopub.status.idle": "2023-11-04T09:15:12.296579Z", + "shell.execute_reply": "2023-11-04T09:15:12.295940Z" } }, "outputs": [ @@ -1430,7 +1430,7 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "0ac7a1016867488da534dd4893d8461d": { + "04bab5117cfa4b3b8d0e903dd87a6f7f": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", @@ -1445,13 +1445,13 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_d7f74deadd39479fba87a619a1f26c99", + "layout": "IPY_MODEL_714d1ac1d9944275be536652d374f800", "placeholder": "​", - "style": "IPY_MODEL_79cfe0dbcee54032af9fd6cd531168ba", + "style": "IPY_MODEL_9182627d36e844c9932644afc916f8d4", "value": "Saving the dataset (1/1 shards): 100%" } }, - "488ad1262e734030b6afb6538673f274": { + "0b23e7e11d3d4d1f8d30fdf1e8b2c9a6": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1503,7 +1503,7 @@ "width": null } }, - "5a6a19e2c0134fe09648360bb2fc34ee": { + "0b830909454a4538a0f95dfd5429fc96": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1555,104 +1555,7 @@ "width": null } }, - "686e3447fcc34034afeeb20adeff7468": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_0ac7a1016867488da534dd4893d8461d", - 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"IPY_MODEL_e715e318fd204462905c6f31e4a06b17", - "value": 132.0 - } - }, - "959b6824ab244def89a3bf1e39166e39": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "ab889e8d6b084286b62896b440506138": { + "423f024249cb406dad7dad337c32ee1b": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1704,7 +1607,38 @@ "width": null } }, - "d7f74deadd39479fba87a619a1f26c99": { + "4ba643f819b94086a2ab7d91d6bb4c56": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "DescriptionStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "DescriptionStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "description_width": "" + } + }, + "654d8a4fb08641f7bb01ad666ae8215e": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "1.2.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "714d1ac1d9944275be536652d374f800": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1756,21 +1690,87 @@ "width": null } }, - "e715e318fd204462905c6f31e4a06b17": { + 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"f5f0008f43c04dce869bbe61f6e304b2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_04bab5117cfa4b3b8d0e903dd87a6f7f", + "IPY_MODEL_d0dbc9acefbc4af68fae5edb2752128e", + "IPY_MODEL_7800c9e7cba142a899815dbea7f48559" + ], + "layout": "IPY_MODEL_423f024249cb406dad7dad337c32ee1b" + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb index 60fa59e16..8f2f23c18 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Cleanlab offers a `Datalab` object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. `Datalab` utilizes *any* ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the data.\n", + "Cleanlab offers a `Datalab` object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, drift, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. `Datalab` utilizes *any* ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the data.\n", "\n", "\n", "**Overview of what we'll do in this tutorial:**\n", @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:22.612398Z", - "iopub.status.busy": "2023-11-02T15:06:22.611520Z", - "iopub.status.idle": "2023-11-02T15:06:24.407421Z", - "shell.execute_reply": "2023-11-02T15:06:24.406364Z" + "iopub.execute_input": "2023-11-04T09:15:17.241151Z", + "iopub.status.busy": "2023-11-04T09:15:17.240961Z", + "iopub.status.idle": "2023-11-04T09:15:18.276812Z", + "shell.execute_reply": "2023-11-04T09:15:18.276118Z" }, "nbsphinx": "hidden" }, @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -116,10 +116,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.412394Z", - "iopub.status.busy": "2023-11-02T15:06:24.411888Z", - "iopub.status.idle": "2023-11-02T15:06:24.417488Z", - "shell.execute_reply": "2023-11-02T15:06:24.416529Z" + "iopub.execute_input": "2023-11-04T09:15:18.279854Z", + "iopub.status.busy": "2023-11-04T09:15:18.279335Z", + "iopub.status.idle": "2023-11-04T09:15:18.282448Z", + "shell.execute_reply": "2023-11-04T09:15:18.281896Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.421968Z", - "iopub.status.busy": "2023-11-02T15:06:24.421629Z", - "iopub.status.idle": "2023-11-02T15:06:24.435894Z", - "shell.execute_reply": "2023-11-02T15:06:24.434794Z" + "iopub.execute_input": "2023-11-04T09:15:18.284857Z", + "iopub.status.busy": "2023-11-04T09:15:18.284653Z", + "iopub.status.idle": "2023-11-04T09:15:18.293961Z", + "shell.execute_reply": "2023-11-04T09:15:18.293376Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.440505Z", - "iopub.status.busy": "2023-11-02T15:06:24.440183Z", - "iopub.status.idle": "2023-11-02T15:06:24.448131Z", - "shell.execute_reply": "2023-11-02T15:06:24.447154Z" + "iopub.execute_input": "2023-11-04T09:15:18.296070Z", + "iopub.status.busy": "2023-11-04T09:15:18.295872Z", + "iopub.status.idle": "2023-11-04T09:15:18.300839Z", + "shell.execute_reply": "2023-11-04T09:15:18.300214Z" } }, "outputs": [], @@ -443,10 +443,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.452825Z", - "iopub.status.busy": "2023-11-02T15:06:24.452429Z", - "iopub.status.idle": "2023-11-02T15:06:24.931958Z", - "shell.execute_reply": "2023-11-02T15:06:24.930835Z" + "iopub.execute_input": "2023-11-04T09:15:18.303529Z", + "iopub.status.busy": "2023-11-04T09:15:18.303094Z", + "iopub.status.idle": "2023-11-04T09:15:18.567124Z", + "shell.execute_reply": "2023-11-04T09:15:18.566431Z" }, "nbsphinx": "hidden" }, @@ -515,10 +515,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.936590Z", - "iopub.status.busy": "2023-11-02T15:06:24.936262Z", - "iopub.status.idle": "2023-11-02T15:06:25.528910Z", - "shell.execute_reply": "2023-11-02T15:06:25.527849Z" + "iopub.execute_input": "2023-11-04T09:15:18.569895Z", + "iopub.status.busy": "2023-11-04T09:15:18.569644Z", + "iopub.status.idle": "2023-11-04T09:15:18.876598Z", + "shell.execute_reply": "2023-11-04T09:15:18.875922Z" } }, "outputs": [ @@ -554,10 +554,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.533933Z", - "iopub.status.busy": "2023-11-02T15:06:25.533123Z", - "iopub.status.idle": "2023-11-02T15:06:25.539212Z", - "shell.execute_reply": "2023-11-02T15:06:25.538275Z" + "iopub.execute_input": "2023-11-04T09:15:18.879323Z", + "iopub.status.busy": "2023-11-04T09:15:18.878871Z", + "iopub.status.idle": "2023-11-04T09:15:18.881928Z", + "shell.execute_reply": "2023-11-04T09:15:18.881311Z" } }, "outputs": [], @@ -596,10 +596,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.544121Z", - "iopub.status.busy": "2023-11-02T15:06:25.543453Z", - "iopub.status.idle": "2023-11-02T15:06:25.588954Z", - "shell.execute_reply": "2023-11-02T15:06:25.587833Z" + "iopub.execute_input": "2023-11-04T09:15:18.884316Z", + "iopub.status.busy": "2023-11-04T09:15:18.883970Z", + "iopub.status.idle": "2023-11-04T09:15:18.908524Z", + "shell.execute_reply": "2023-11-04T09:15:18.907894Z" } }, "outputs": [], @@ -632,10 +632,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.594410Z", - "iopub.status.busy": "2023-11-02T15:06:25.594019Z", - "iopub.status.idle": "2023-11-02T15:06:27.916110Z", - "shell.execute_reply": "2023-11-02T15:06:27.914889Z" + "iopub.execute_input": "2023-11-04T09:15:18.911234Z", + "iopub.status.busy": "2023-11-04T09:15:18.910772Z", + "iopub.status.idle": "2023-11-04T09:15:20.194066Z", + "shell.execute_reply": "2023-11-04T09:15:20.193296Z" } }, "outputs": [ @@ -677,10 +677,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.921397Z", - "iopub.status.busy": "2023-11-02T15:06:27.920324Z", - "iopub.status.idle": "2023-11-02T15:06:27.949763Z", - "shell.execute_reply": "2023-11-02T15:06:27.948863Z" + "iopub.execute_input": "2023-11-04T09:15:20.197931Z", + "iopub.status.busy": "2023-11-04T09:15:20.197064Z", + "iopub.status.idle": "2023-11-04T09:15:20.222305Z", + "shell.execute_reply": "2023-11-04T09:15:20.221655Z" } }, "outputs": [ @@ -814,10 +814,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.953786Z", - "iopub.status.busy": "2023-11-02T15:06:27.953453Z", - "iopub.status.idle": "2023-11-02T15:06:27.968507Z", - "shell.execute_reply": "2023-11-02T15:06:27.967447Z" + "iopub.execute_input": "2023-11-04T09:15:20.225137Z", + "iopub.status.busy": "2023-11-04T09:15:20.224936Z", + "iopub.status.idle": "2023-11-04T09:15:20.232471Z", + "shell.execute_reply": "2023-11-04T09:15:20.231808Z" } }, "outputs": [ @@ -907,10 +907,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.973131Z", - "iopub.status.busy": "2023-11-02T15:06:27.972617Z", - "iopub.status.idle": "2023-11-02T15:06:27.986777Z", - "shell.execute_reply": "2023-11-02T15:06:27.985846Z" + "iopub.execute_input": "2023-11-04T09:15:20.235256Z", + "iopub.status.busy": "2023-11-04T09:15:20.234702Z", + "iopub.status.idle": "2023-11-04T09:15:20.241554Z", + "shell.execute_reply": "2023-11-04T09:15:20.241033Z" } }, "outputs": [ @@ -977,10 +977,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.992083Z", - "iopub.status.busy": "2023-11-02T15:06:27.991417Z", - "iopub.status.idle": "2023-11-02T15:06:28.006363Z", - "shell.execute_reply": "2023-11-02T15:06:28.005400Z" + "iopub.execute_input": "2023-11-04T09:15:20.243920Z", + "iopub.status.busy": "2023-11-04T09:15:20.243568Z", + "iopub.status.idle": "2023-11-04T09:15:20.251856Z", + "shell.execute_reply": "2023-11-04T09:15:20.251236Z" } }, "outputs": [ @@ -1122,10 +1122,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.011196Z", - "iopub.status.busy": "2023-11-02T15:06:28.010360Z", - "iopub.status.idle": "2023-11-02T15:06:28.026171Z", - "shell.execute_reply": "2023-11-02T15:06:28.025124Z" + "iopub.execute_input": "2023-11-04T09:15:20.254323Z", + "iopub.status.busy": "2023-11-04T09:15:20.253961Z", + "iopub.status.idle": "2023-11-04T09:15:20.263052Z", + "shell.execute_reply": "2023-11-04T09:15:20.262438Z" } }, "outputs": [ @@ -1241,10 +1241,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.031342Z", - "iopub.status.busy": "2023-11-02T15:06:28.030876Z", - "iopub.status.idle": "2023-11-02T15:06:28.045613Z", - "shell.execute_reply": "2023-11-02T15:06:28.044677Z" + "iopub.execute_input": "2023-11-04T09:15:20.265491Z", + "iopub.status.busy": "2023-11-04T09:15:20.265107Z", + "iopub.status.idle": "2023-11-04T09:15:20.272528Z", + "shell.execute_reply": "2023-11-04T09:15:20.271906Z" }, "scrolled": true }, @@ -1357,10 +1357,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.049709Z", - "iopub.status.busy": "2023-11-02T15:06:28.049342Z", - "iopub.status.idle": "2023-11-02T15:06:28.070099Z", - "shell.execute_reply": "2023-11-02T15:06:28.068752Z" + "iopub.execute_input": "2023-11-04T09:15:20.274914Z", + "iopub.status.busy": "2023-11-04T09:15:20.274557Z", + "iopub.status.idle": "2023-11-04T09:15:20.284596Z", + "shell.execute_reply": "2023-11-04T09:15:20.284062Z" } }, "outputs": [ diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb index 1b734feb4..70d680f35 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb @@ -74,10 +74,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:33.982201Z", - "iopub.status.busy": "2023-11-02T15:06:33.981672Z", - "iopub.status.idle": "2023-11-02T15:06:35.602631Z", - "shell.execute_reply": "2023-11-02T15:06:35.601305Z" + "iopub.execute_input": "2023-11-04T09:15:25.403036Z", + "iopub.status.busy": "2023-11-04T09:15:25.402600Z", + "iopub.status.idle": "2023-11-04T09:15:26.380869Z", + "shell.execute_reply": "2023-11-04T09:15:26.380242Z" }, "nbsphinx": "hidden" }, @@ -87,7 +87,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.607678Z", - "iopub.status.busy": "2023-11-02T15:06:35.606748Z", - "iopub.status.idle": "2023-11-02T15:06:35.699828Z", - "shell.execute_reply": "2023-11-02T15:06:35.698417Z" + "iopub.execute_input": "2023-11-04T09:15:26.383744Z", + "iopub.status.busy": "2023-11-04T09:15:26.383447Z", + "iopub.status.idle": "2023-11-04T09:15:26.404461Z", + "shell.execute_reply": "2023-11-04T09:15:26.403961Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.704487Z", - "iopub.status.busy": "2023-11-02T15:06:35.704181Z", - "iopub.status.idle": "2023-11-02T15:06:35.965732Z", - "shell.execute_reply": "2023-11-02T15:06:35.964728Z" + "iopub.execute_input": "2023-11-04T09:15:26.406980Z", + "iopub.status.busy": "2023-11-04T09:15:26.406632Z", + "iopub.status.idle": "2023-11-04T09:15:26.579722Z", + "shell.execute_reply": "2023-11-04T09:15:26.579085Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.969664Z", - "iopub.status.busy": "2023-11-02T15:06:35.969373Z", - "iopub.status.idle": "2023-11-02T15:06:35.974881Z", - "shell.execute_reply": "2023-11-02T15:06:35.973936Z" + "iopub.execute_input": "2023-11-04T09:15:26.582067Z", + "iopub.status.busy": "2023-11-04T09:15:26.581864Z", + "iopub.status.idle": "2023-11-04T09:15:26.585645Z", + "shell.execute_reply": "2023-11-04T09:15:26.585033Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.978814Z", - "iopub.status.busy": "2023-11-02T15:06:35.978480Z", - "iopub.status.idle": "2023-11-02T15:06:35.991284Z", - "shell.execute_reply": "2023-11-02T15:06:35.990358Z" + "iopub.execute_input": "2023-11-04T09:15:26.587981Z", + "iopub.status.busy": "2023-11-04T09:15:26.587641Z", + "iopub.status.idle": "2023-11-04T09:15:26.596004Z", + "shell.execute_reply": "2023-11-04T09:15:26.595528Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.995571Z", - "iopub.status.busy": "2023-11-02T15:06:35.995226Z", - "iopub.status.idle": "2023-11-02T15:06:35.999637Z", - "shell.execute_reply": "2023-11-02T15:06:35.998739Z" + "iopub.execute_input": "2023-11-04T09:15:26.598476Z", + "iopub.status.busy": "2023-11-04T09:15:26.598127Z", + "iopub.status.idle": "2023-11-04T09:15:26.600892Z", + "shell.execute_reply": "2023-11-04T09:15:26.600300Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:36.003487Z", - "iopub.status.busy": "2023-11-02T15:06:36.003206Z", - "iopub.status.idle": "2023-11-02T15:06:43.684004Z", - "shell.execute_reply": "2023-11-02T15:06:43.682957Z" + "iopub.execute_input": "2023-11-04T09:15:26.603407Z", + "iopub.status.busy": "2023-11-04T09:15:26.603049Z", + "iopub.status.idle": "2023-11-04T09:15:30.200212Z", + "shell.execute_reply": "2023-11-04T09:15:30.199590Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:43.689242Z", - "iopub.status.busy": "2023-11-02T15:06:43.688272Z", - "iopub.status.idle": "2023-11-02T15:06:43.702508Z", - "shell.execute_reply": "2023-11-02T15:06:43.701693Z" + "iopub.execute_input": "2023-11-04T09:15:30.203433Z", + "iopub.status.busy": "2023-11-04T09:15:30.203003Z", + "iopub.status.idle": "2023-11-04T09:15:30.212845Z", + "shell.execute_reply": "2023-11-04T09:15:30.212359Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:43.707192Z", - "iopub.status.busy": "2023-11-02T15:06:43.706149Z", - "iopub.status.idle": "2023-11-02T15:06:46.097100Z", - "shell.execute_reply": "2023-11-02T15:06:46.095686Z" + "iopub.execute_input": "2023-11-04T09:15:30.215238Z", + "iopub.status.busy": "2023-11-04T09:15:30.214872Z", + "iopub.status.idle": "2023-11-04T09:15:31.528074Z", + "shell.execute_reply": "2023-11-04T09:15:31.527345Z" } }, "outputs": [ @@ -474,10 +474,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.103692Z", - "iopub.status.busy": "2023-11-02T15:06:46.102835Z", - "iopub.status.idle": "2023-11-02T15:06:46.141276Z", - "shell.execute_reply": "2023-11-02T15:06:46.140380Z" + "iopub.execute_input": "2023-11-04T09:15:31.532578Z", + "iopub.status.busy": "2023-11-04T09:15:31.531041Z", + "iopub.status.idle": "2023-11-04T09:15:31.555292Z", + "shell.execute_reply": "2023-11-04T09:15:31.554701Z" }, "scrolled": true }, @@ -602,10 +602,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.147666Z", - "iopub.status.busy": "2023-11-02T15:06:46.145839Z", - "iopub.status.idle": "2023-11-02T15:06:46.164279Z", - "shell.execute_reply": "2023-11-02T15:06:46.163393Z" + "iopub.execute_input": "2023-11-04T09:15:31.559657Z", + "iopub.status.busy": "2023-11-04T09:15:31.558523Z", + "iopub.status.idle": "2023-11-04T09:15:31.571002Z", + "shell.execute_reply": "2023-11-04T09:15:31.570416Z" } }, "outputs": [ @@ -709,10 +709,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.170493Z", - "iopub.status.busy": "2023-11-02T15:06:46.168974Z", - "iopub.status.idle": "2023-11-02T15:06:46.188996Z", - "shell.execute_reply": "2023-11-02T15:06:46.188149Z" + "iopub.execute_input": "2023-11-04T09:15:31.575269Z", + "iopub.status.busy": "2023-11-04T09:15:31.574145Z", + "iopub.status.idle": "2023-11-04T09:15:31.588421Z", + "shell.execute_reply": "2023-11-04T09:15:31.587848Z" } }, "outputs": [ @@ -841,10 +841,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.197784Z", - "iopub.status.busy": "2023-11-02T15:06:46.196078Z", - "iopub.status.idle": "2023-11-02T15:06:46.213774Z", - "shell.execute_reply": "2023-11-02T15:06:46.212928Z" + "iopub.execute_input": "2023-11-04T09:15:31.592729Z", + "iopub.status.busy": "2023-11-04T09:15:31.591609Z", + "iopub.status.idle": "2023-11-04T09:15:31.604074Z", + "shell.execute_reply": "2023-11-04T09:15:31.603486Z" } }, "outputs": [ @@ -958,10 +958,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.219808Z", - "iopub.status.busy": "2023-11-02T15:06:46.218365Z", - "iopub.status.idle": "2023-11-02T15:06:46.238073Z", - "shell.execute_reply": "2023-11-02T15:06:46.237140Z" + "iopub.execute_input": "2023-11-04T09:15:31.608346Z", + "iopub.status.busy": "2023-11-04T09:15:31.607235Z", + "iopub.status.idle": "2023-11-04T09:15:31.620610Z", + "shell.execute_reply": "2023-11-04T09:15:31.620088Z" } }, "outputs": [ @@ -1072,10 +1072,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.242777Z", - "iopub.status.busy": "2023-11-02T15:06:46.242222Z", - "iopub.status.idle": "2023-11-02T15:06:46.256012Z", - "shell.execute_reply": "2023-11-02T15:06:46.255018Z" + "iopub.execute_input": "2023-11-04T09:15:31.623160Z", + "iopub.status.busy": "2023-11-04T09:15:31.622793Z", + "iopub.status.idle": "2023-11-04T09:15:31.631056Z", + "shell.execute_reply": "2023-11-04T09:15:31.630441Z" } }, "outputs": [ @@ -1159,10 +1159,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.261449Z", - "iopub.status.busy": "2023-11-02T15:06:46.260868Z", - "iopub.status.idle": "2023-11-02T15:06:46.276389Z", - "shell.execute_reply": "2023-11-02T15:06:46.275391Z" + "iopub.execute_input": "2023-11-04T09:15:31.633521Z", + "iopub.status.busy": "2023-11-04T09:15:31.633146Z", + "iopub.status.idle": "2023-11-04T09:15:31.640048Z", + "shell.execute_reply": "2023-11-04T09:15:31.639432Z" } }, "outputs": [ @@ -1246,10 +1246,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.280975Z", - "iopub.status.busy": "2023-11-02T15:06:46.280466Z", - "iopub.status.idle": "2023-11-02T15:06:46.294388Z", - "shell.execute_reply": "2023-11-02T15:06:46.293317Z" + "iopub.execute_input": "2023-11-04T09:15:31.642412Z", + "iopub.status.busy": "2023-11-04T09:15:31.642216Z", + "iopub.status.idle": "2023-11-04T09:15:31.649233Z", + "shell.execute_reply": "2023-11-04T09:15:31.648670Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb index 9df91a185..dc44b46d1 100644 --- a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:51.481971Z", - "iopub.status.busy": "2023-11-02T15:06:51.481669Z", - "iopub.status.idle": "2023-11-02T15:06:55.748996Z", - "shell.execute_reply": "2023-11-02T15:06:55.747845Z" + "iopub.execute_input": "2023-11-04T09:15:36.553680Z", + "iopub.status.busy": "2023-11-04T09:15:36.553479Z", + "iopub.status.idle": "2023-11-04T09:15:38.717664Z", + "shell.execute_reply": "2023-11-04T09:15:38.717078Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "236cdd64e2ec4826bf5499162ff0fce7", + "model_id": "f3f34222ca7043c4b136a6e5ef95924b", "version_major": 2, "version_minor": 0 }, @@ -118,7 +118,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -143,10 +143,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.753700Z", - "iopub.status.busy": "2023-11-02T15:06:55.753204Z", - "iopub.status.idle": "2023-11-02T15:06:55.765076Z", - "shell.execute_reply": "2023-11-02T15:06:55.764037Z" + "iopub.execute_input": "2023-11-04T09:15:38.720624Z", + "iopub.status.busy": "2023-11-04T09:15:38.720146Z", + "iopub.status.idle": "2023-11-04T09:15:38.723637Z", + "shell.execute_reply": "2023-11-04T09:15:38.723114Z" } }, "outputs": [], @@ -167,10 +167,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.769453Z", - "iopub.status.busy": "2023-11-02T15:06:55.768997Z", - "iopub.status.idle": "2023-11-02T15:06:55.773743Z", - "shell.execute_reply": "2023-11-02T15:06:55.772862Z" + "iopub.execute_input": "2023-11-04T09:15:38.726110Z", + "iopub.status.busy": "2023-11-04T09:15:38.725697Z", + "iopub.status.idle": "2023-11-04T09:15:38.729243Z", + "shell.execute_reply": "2023-11-04T09:15:38.728617Z" }, "nbsphinx": "hidden" }, @@ -200,10 +200,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.777670Z", - "iopub.status.busy": "2023-11-02T15:06:55.777342Z", - "iopub.status.idle": "2023-11-02T15:06:55.924863Z", - "shell.execute_reply": "2023-11-02T15:06:55.923726Z" + "iopub.execute_input": "2023-11-04T09:15:38.731648Z", + "iopub.status.busy": "2023-11-04T09:15:38.731207Z", + "iopub.status.idle": "2023-11-04T09:15:38.783437Z", + "shell.execute_reply": "2023-11-04T09:15:38.782845Z" } }, "outputs": [ @@ -293,10 +293,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.930337Z", - "iopub.status.busy": "2023-11-02T15:06:55.929880Z", - "iopub.status.idle": "2023-11-02T15:06:55.937958Z", - "shell.execute_reply": "2023-11-02T15:06:55.936649Z" + "iopub.execute_input": "2023-11-04T09:15:38.785843Z", + "iopub.status.busy": "2023-11-04T09:15:38.785463Z", + "iopub.status.idle": "2023-11-04T09:15:38.789711Z", + "shell.execute_reply": "2023-11-04T09:15:38.789080Z" } }, "outputs": [ @@ -305,7 +305,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'cancel_transfer', 'beneficiary_not_allowed', 'visa_or_mastercard', 'card_payment_fee_charged', 'getting_spare_card', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_about_to_expire'}\n" + "Classes: {'card_about_to_expire', 'lost_or_stolen_phone', 'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'beneficiary_not_allowed', 'getting_spare_card', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}\n" ] } ], @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.943907Z", - "iopub.status.busy": "2023-11-02T15:06:55.943412Z", - "iopub.status.idle": "2023-11-02T15:06:55.949964Z", - "shell.execute_reply": "2023-11-02T15:06:55.948808Z" + "iopub.execute_input": "2023-11-04T09:15:38.792080Z", + "iopub.status.busy": "2023-11-04T09:15:38.791619Z", + "iopub.status.idle": "2023-11-04T09:15:38.795303Z", + "shell.execute_reply": "2023-11-04T09:15:38.794713Z" } }, "outputs": [ @@ -387,17 +387,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.956224Z", - "iopub.status.busy": "2023-11-02T15:06:55.955612Z", - "iopub.status.idle": "2023-11-02T15:07:03.427101Z", - "shell.execute_reply": "2023-11-02T15:07:03.426018Z" + "iopub.execute_input": "2023-11-04T09:15:38.797681Z", + "iopub.status.busy": "2023-11-04T09:15:38.797467Z", + "iopub.status.idle": "2023-11-04T09:15:48.120248Z", + "shell.execute_reply": "2023-11-04T09:15:48.119503Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ccd2ff966a224331ba87576dc1b583cb", + "model_id": "e511e2ae0df34b0785f65d2d9896abbd", "version_major": 2, "version_minor": 0 }, @@ -411,7 +411,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6f3fdd1e44734a38a1e4e79af6e724bc", + "model_id": "188508a8bb914f0181fd7770d36add4b", "version_major": 2, "version_minor": 0 }, @@ -425,7 +425,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2fbd72a11b38422db8cc2b7b6ea3c24f", + "model_id": "ab0236503c4244ca89641b8946acd4f5", "version_major": 2, "version_minor": 0 }, @@ -439,7 +439,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f035475e4b9d4449ae283a09b15d99e4", + "model_id": "f6de89c6c65341eabdf9febce459d412", "version_major": 2, "version_minor": 0 }, @@ -453,7 +453,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "514ddf8139274a3a9647d84cd184ac47", + "model_id": "b019f05692624c239026d8862df67d84", "version_major": 2, "version_minor": 0 }, @@ -467,7 +467,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9fb3e20f3e343ae855437a44c7793f2", + "model_id": "8aa91303345c41398c3fe82ad1a2d93f", "version_major": 2, "version_minor": 0 }, @@ -481,7 +481,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "034f1b3e40334552b37a430a3d2ea02f", + "model_id": "6fa8eb2588e84204b9588758d6cb0cc3", "version_major": 2, "version_minor": 0 }, @@ -535,10 +535,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:03.433864Z", - "iopub.status.busy": "2023-11-02T15:07:03.433293Z", - "iopub.status.idle": "2023-11-02T15:07:05.389023Z", - "shell.execute_reply": "2023-11-02T15:07:05.388046Z" + "iopub.execute_input": "2023-11-04T09:15:48.123910Z", + "iopub.status.busy": "2023-11-04T09:15:48.123413Z", + "iopub.status.idle": "2023-11-04T09:15:49.349084Z", + "shell.execute_reply": "2023-11-04T09:15:49.348422Z" }, "scrolled": true }, @@ -570,10 +570,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:05.396370Z", - "iopub.status.busy": "2023-11-02T15:07:05.394793Z", - "iopub.status.idle": "2023-11-02T15:07:05.399700Z", - "shell.execute_reply": "2023-11-02T15:07:05.398941Z" + "iopub.execute_input": "2023-11-04T09:15:49.353971Z", + "iopub.status.busy": "2023-11-04T09:15:49.352688Z", + "iopub.status.idle": "2023-11-04T09:15:49.357278Z", + "shell.execute_reply": "2023-11-04T09:15:49.356729Z" } }, "outputs": [], @@ -593,10 +593,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:05.404601Z", - "iopub.status.busy": "2023-11-02T15:07:05.403184Z", - "iopub.status.idle": "2023-11-02T15:07:07.655074Z", - "shell.execute_reply": "2023-11-02T15:07:07.653952Z" + "iopub.execute_input": "2023-11-04T09:15:49.361358Z", + "iopub.status.busy": "2023-11-04T09:15:49.360294Z", + "iopub.status.idle": "2023-11-04T09:15:50.689128Z", + "shell.execute_reply": "2023-11-04T09:15:50.688381Z" }, "scrolled": true }, @@ -638,10 +638,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.661548Z", - "iopub.status.busy": "2023-11-02T15:07:07.660400Z", - "iopub.status.idle": "2023-11-02T15:07:07.694205Z", - "shell.execute_reply": "2023-11-02T15:07:07.693039Z" + "iopub.execute_input": "2023-11-04T09:15:50.692733Z", + "iopub.status.busy": "2023-11-04T09:15:50.692045Z", + "iopub.status.idle": "2023-11-04T09:15:50.722637Z", + "shell.execute_reply": "2023-11-04T09:15:50.722038Z" }, "scrolled": true }, @@ -675,9 +675,9 @@ " is_label_issue label_score given_label predicted_label\n", "981 True 0.000005 card_about_to_expire card_payment_fee_charged\n", "974 True 0.000150 beneficiary_not_allowed change_pin\n", - "982 True 0.000220 apple_pay_or_google_pay card_about_to_expire\n", - "971 True 0.000511 beneficiary_not_allowed change_pin\n", - "980 True 0.000948 card_about_to_expire card_payment_fee_charged\n", + "982 True 0.000218 apple_pay_or_google_pay card_about_to_expire\n", + "971 True 0.000512 beneficiary_not_allowed change_pin\n", + "980 True 0.000947 card_about_to_expire card_payment_fee_charged\n", "\n", "\n", "---------------------- outlier issues ----------------------\n", @@ -718,7 +718,7 @@ "148 True 0.006237 [160] 0.006237\n", "546 True 0.006485 [514] 0.006485\n", "514 True 0.006485 [546] 0.006485\n", - "481 False 0.008164 [] 0.008165\n", + "481 False 0.008165 [] 0.008165\n", "\n", "\n", "---------------------- non_iid issues ----------------------\n", @@ -766,10 +766,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.699189Z", - "iopub.status.busy": "2023-11-02T15:07:07.698797Z", - "iopub.status.idle": "2023-11-02T15:07:07.715950Z", - "shell.execute_reply": "2023-11-02T15:07:07.714943Z" + "iopub.execute_input": "2023-11-04T09:15:50.725572Z", + "iopub.status.busy": "2023-11-04T09:15:50.725133Z", + "iopub.status.idle": "2023-11-04T09:15:50.735612Z", + "shell.execute_reply": "2023-11-04T09:15:50.735040Z" }, "scrolled": true }, @@ -805,35 +805,35 @@ " \n", " 0\n", " False\n", - " 0.792019\n", + " 0.791961\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 1\n", " False\n", - " 0.258451\n", + " 0.258508\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 2\n", " False\n", - " 0.698890\n", + " 0.699010\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 3\n", " False\n", - " 0.183006\n", + " 0.183136\n", " cancel_transfer\n", " apple_pay_or_google_pay\n", " \n", " \n", " 4\n", " False\n", - " 0.771030\n", + " 0.771112\n", " cancel_transfer\n", " cancel_transfer\n", " \n", @@ -843,11 +843,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 False 0.792019 cancel_transfer cancel_transfer\n", - "1 False 0.258451 cancel_transfer cancel_transfer\n", - "2 False 0.698890 cancel_transfer cancel_transfer\n", - "3 False 0.183006 cancel_transfer apple_pay_or_google_pay\n", - "4 False 0.771030 cancel_transfer cancel_transfer" + "0 False 0.791961 cancel_transfer cancel_transfer\n", + "1 False 0.258508 cancel_transfer cancel_transfer\n", + "2 False 0.699010 cancel_transfer cancel_transfer\n", + "3 False 0.183136 cancel_transfer apple_pay_or_google_pay\n", + "4 False 0.771112 cancel_transfer cancel_transfer" ] }, "execution_count": 12, @@ -879,10 +879,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.720812Z", - "iopub.status.busy": "2023-11-02T15:07:07.720503Z", - "iopub.status.idle": "2023-11-02T15:07:07.729293Z", - "shell.execute_reply": "2023-11-02T15:07:07.728533Z" + "iopub.execute_input": "2023-11-04T09:15:50.738566Z", + "iopub.status.busy": "2023-11-04T09:15:50.738130Z", + "iopub.status.idle": "2023-11-04T09:15:50.743326Z", + "shell.execute_reply": "2023-11-04T09:15:50.742752Z" } }, "outputs": [ @@ -920,10 +920,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.732985Z", - "iopub.status.busy": "2023-11-02T15:07:07.732523Z", - "iopub.status.idle": "2023-11-02T15:07:07.743470Z", - "shell.execute_reply": "2023-11-02T15:07:07.742677Z" + "iopub.execute_input": "2023-11-04T09:15:50.746213Z", + "iopub.status.busy": "2023-11-04T09:15:50.745782Z", + "iopub.status.idle": "2023-11-04T09:15:50.752734Z", + "shell.execute_reply": "2023-11-04T09:15:50.752281Z" } }, "outputs": [ @@ -1040,10 +1040,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.747385Z", - "iopub.status.busy": "2023-11-02T15:07:07.746914Z", - "iopub.status.idle": "2023-11-02T15:07:07.757616Z", - "shell.execute_reply": "2023-11-02T15:07:07.756572Z" + "iopub.execute_input": "2023-11-04T09:15:50.754979Z", + "iopub.status.busy": "2023-11-04T09:15:50.754645Z", + "iopub.status.idle": "2023-11-04T09:15:50.760689Z", + "shell.execute_reply": "2023-11-04T09:15:50.760231Z" } }, "outputs": [ @@ -1126,10 +1126,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.761190Z", - "iopub.status.busy": "2023-11-02T15:07:07.760749Z", - "iopub.status.idle": "2023-11-02T15:07:07.770098Z", - "shell.execute_reply": "2023-11-02T15:07:07.769368Z" + "iopub.execute_input": "2023-11-04T09:15:50.762834Z", + "iopub.status.busy": "2023-11-04T09:15:50.762501Z", + "iopub.status.idle": "2023-11-04T09:15:50.768106Z", + "shell.execute_reply": "2023-11-04T09:15:50.767656Z" } }, "outputs": [ @@ -1237,10 +1237,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.774559Z", - "iopub.status.busy": "2023-11-02T15:07:07.773594Z", - "iopub.status.idle": "2023-11-02T15:07:07.789667Z", - "shell.execute_reply": "2023-11-02T15:07:07.788852Z" + "iopub.execute_input": "2023-11-04T09:15:50.770332Z", + "iopub.status.busy": "2023-11-04T09:15:50.769995Z", + "iopub.status.idle": "2023-11-04T09:15:50.778402Z", + "shell.execute_reply": "2023-11-04T09:15:50.777940Z" } }, "outputs": [ @@ -1303,7 +1303,7 @@ " \n", " 481\n", " False\n", - " 0.008164\n", + " 0.008165\n", " []\n", " 0.008165\n", " \n", @@ -1317,7 +1317,7 @@ "148 True 0.006237 [160] \n", "546 True 0.006485 [514] \n", "514 True 0.006485 [546] \n", - "481 False 0.008164 [] \n", + "481 False 0.008165 [] \n", "\n", " distance_to_nearest_neighbor \n", "160 0.006237 \n", @@ -1351,10 +1351,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.793374Z", - "iopub.status.busy": "2023-11-02T15:07:07.792816Z", - "iopub.status.idle": "2023-11-02T15:07:07.805132Z", - "shell.execute_reply": "2023-11-02T15:07:07.803987Z" + "iopub.execute_input": "2023-11-04T09:15:50.780572Z", + "iopub.status.busy": "2023-11-04T09:15:50.780238Z", + "iopub.status.idle": "2023-11-04T09:15:50.785420Z", + "shell.execute_reply": "2023-11-04T09:15:50.784959Z" } }, "outputs": [ @@ -1422,10 +1422,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.810343Z", - "iopub.status.busy": "2023-11-02T15:07:07.809776Z", - "iopub.status.idle": "2023-11-02T15:07:07.822393Z", - "shell.execute_reply": "2023-11-02T15:07:07.821590Z" + "iopub.execute_input": "2023-11-04T09:15:50.787416Z", + "iopub.status.busy": "2023-11-04T09:15:50.787215Z", + "iopub.status.idle": "2023-11-04T09:15:50.793173Z", + "shell.execute_reply": "2023-11-04T09:15:50.792641Z" } }, "outputs": [ @@ -1503,10 +1503,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.828212Z", - "iopub.status.busy": "2023-11-02T15:07:07.826681Z", - "iopub.status.idle": "2023-11-02T15:07:07.837224Z", - "shell.execute_reply": "2023-11-02T15:07:07.836227Z" + "iopub.execute_input": "2023-11-04T09:15:50.795712Z", + "iopub.status.busy": "2023-11-04T09:15:50.795316Z", + "iopub.status.idle": "2023-11-04T09:15:50.800957Z", + "shell.execute_reply": "2023-11-04T09:15:50.800329Z" }, "nbsphinx": "hidden" }, @@ -1556,45 +1556,31 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "034f1b3e40334552b37a430a3d2ea02f": { + "03cacde467a6494ca2fb5df15e83efff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "HBoxModel", + "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_4c8d99730b2046d688824649b95eb6de", - "IPY_MODEL_a7bcf9a0d60841b1a385d0d58d2ee7f0", - "IPY_MODEL_5285cec6f7de4479b58ee4a0a881edab" - ], - "layout": "IPY_MODEL_87d0dba21ae6410487b719c2af0827dc" - } - }, - "05051d9d023240a6bcd15d6a36ddfb70": { - 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"iopub.status.busy": "2023-11-04T09:15:55.451324Z", + "iopub.status.idle": "2023-11-04T09:15:56.446679Z", + "shell.execute_reply": "2023-11-04T09:15:56.445976Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -108,10 +108,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.013207Z", - "iopub.status.busy": "2023-11-02T15:07:16.012082Z", - "iopub.status.idle": "2023-11-02T15:07:16.018835Z", - "shell.execute_reply": "2023-11-02T15:07:16.018013Z" + "iopub.execute_input": "2023-11-04T09:15:56.449564Z", + "iopub.status.busy": "2023-11-04T09:15:56.449205Z", + "iopub.status.idle": "2023-11-04T09:15:56.452474Z", + "shell.execute_reply": "2023-11-04T09:15:56.451875Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.023794Z", - "iopub.status.busy": "2023-11-02T15:07:16.023352Z", - "iopub.status.idle": "2023-11-02T15:07:16.047649Z", - "shell.execute_reply": "2023-11-02T15:07:16.046696Z" + "iopub.execute_input": "2023-11-04T09:15:56.455005Z", + "iopub.status.busy": "2023-11-04T09:15:56.454576Z", + "iopub.status.idle": "2023-11-04T09:15:56.467928Z", + "shell.execute_reply": "2023-11-04T09:15:56.467320Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.052287Z", - "iopub.status.busy": "2023-11-02T15:07:16.051740Z", - "iopub.status.idle": "2023-11-02T15:07:23.520032Z", - "shell.execute_reply": "2023-11-02T15:07:23.519037Z" + "iopub.execute_input": "2023-11-04T09:15:56.470593Z", + "iopub.status.busy": "2023-11-04T09:15:56.470043Z", + "iopub.status.idle": "2023-11-04T09:16:01.734004Z", + "shell.execute_reply": "2023-11-04T09:16:01.733316Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb index cf2007041..d2794eb6d 100644 --- a/master/.doctrees/nbsphinx/tutorials/faq.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:29.130107Z", - "iopub.status.busy": "2023-11-02T15:07:29.129501Z", - "iopub.status.idle": "2023-11-02T15:07:30.882464Z", - "shell.execute_reply": "2023-11-02T15:07:30.881333Z" + "iopub.execute_input": "2023-11-04T09:16:06.280481Z", + "iopub.status.busy": "2023-11-04T09:16:06.280290Z", + "iopub.status.idle": "2023-11-04T09:16:07.255845Z", + "shell.execute_reply": "2023-11-04T09:16:07.255239Z" }, "nbsphinx": "hidden" }, @@ -97,10 +97,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:30.887830Z", - "iopub.status.busy": "2023-11-02T15:07:30.887227Z", - "iopub.status.idle": "2023-11-02T15:07:30.893501Z", - "shell.execute_reply": "2023-11-02T15:07:30.892514Z" + "iopub.execute_input": "2023-11-04T09:16:07.259098Z", + "iopub.status.busy": "2023-11-04T09:16:07.258498Z", + "iopub.status.idle": "2023-11-04T09:16:07.262075Z", + "shell.execute_reply": "2023-11-04T09:16:07.261547Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:30.897733Z", - "iopub.status.busy": "2023-11-02T15:07:30.897070Z", - "iopub.status.idle": "2023-11-02T15:07:34.547622Z", - "shell.execute_reply": "2023-11-02T15:07:34.546029Z" + "iopub.execute_input": "2023-11-04T09:16:07.264436Z", + "iopub.status.busy": 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"version_minor": 0 }, @@ -329,7 +329,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "462e18c7b9af4c8f8beb9d40c3c611ce", + "model_id": "9dbff80c15b240de879d1e056f4ecb98", "version_major": 2, "version_minor": 0 }, @@ -387,10 +387,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.760179Z", - "iopub.status.busy": "2023-11-02T15:07:34.759607Z", - "iopub.status.idle": "2023-11-02T15:07:34.770180Z", - "shell.execute_reply": "2023-11-02T15:07:34.769274Z" + "iopub.execute_input": "2023-11-04T09:16:09.333481Z", + "iopub.status.busy": "2023-11-04T09:16:09.333119Z", + "iopub.status.idle": "2023-11-04T09:16:09.339773Z", + "shell.execute_reply": "2023-11-04T09:16:09.339275Z" }, "nbsphinx": "hidden" }, @@ -421,10 +421,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.774840Z", - "iopub.status.busy": "2023-11-02T15:07:34.774200Z", - "iopub.status.idle": 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e3ab6a49c..0d6c0c157 100644 --- a/master/.doctrees/nbsphinx/tutorials/image.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/image.ipynb @@ -71,10 +71,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:46.724798Z", - "iopub.status.busy": "2023-11-02T15:07:46.724482Z", - "iopub.status.idle": "2023-11-02T15:07:50.455232Z", - "shell.execute_reply": "2023-11-02T15:07:50.453968Z" + "iopub.execute_input": "2023-11-04T09:16:17.413380Z", + "iopub.status.busy": "2023-11-04T09:16:17.413192Z", + "iopub.status.idle": "2023-11-04T09:16:19.485225Z", + "shell.execute_reply": "2023-11-04T09:16:19.484667Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:50.459743Z", - "iopub.status.busy": "2023-11-02T15:07:50.459163Z", - "iopub.status.idle": "2023-11-02T15:07:50.465535Z", - "shell.execute_reply": "2023-11-02T15:07:50.464536Z" + "iopub.execute_input": 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"2023-11-02T15:08:42.565180Z" + "iopub.execute_input": "2023-11-04T09:16:32.599300Z", + "iopub.status.busy": "2023-11-04T09:16:32.598948Z", + "iopub.status.idle": "2023-11-04T09:16:43.366361Z", + "shell.execute_reply": "2023-11-04T09:16:43.365648Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a11ed46d134748e790cad78f74d23947", + "model_id": "3168e4736ff2453499544e814fad0da2", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Map (num_proc=2): 0%| | 0/60000 [00:00\n", " 0\n", " True\n", - " 0.129916\n", + " 0.110901\n", " T - shirt / top\n", " Dress\n", " \n", " \n", " 1\n", " False\n", - " 0.981029\n", + " 0.974390\n", " T - shirt / top\n", " T - shirt / top\n", " \n", " \n", " 2\n", " False\n", - " 0.996466\n", + " 0.998733\n", " Sandal\n", " Sandal\n", " \n", " \n", " 3\n", " False\n", - " 0.855478\n", + " 0.937117\n", " Sandal\n", " Sandal\n", " \n", " \n", " 4\n", " False\n", - " 0.998550\n", + " 0.998755\n", " Dress\n", " Dress\n", " \n", @@ -1974,11 +1736,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 True 0.129916 T - shirt / top Dress\n", - "1 False 0.981029 T - shirt / top T - shirt / top\n", - "2 False 0.996466 Sandal Sandal\n", - "3 False 0.855478 Sandal Sandal\n", - "4 False 0.998550 Dress Dress" + "0 True 0.110901 T - shirt / top Dress\n", + "1 False 0.974390 T - shirt / top T - shirt / top\n", + "2 False 0.998733 Sandal Sandal\n", + "3 False 0.937117 Sandal Sandal\n", + "4 False 0.998755 Dress Dress" ] }, "execution_count": 16, @@ -2005,10 +1767,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.062031Z", - "iopub.status.busy": "2023-11-02T15:15:40.061703Z", - "iopub.status.idle": "2023-11-02T15:15:40.076401Z", - "shell.execute_reply": "2023-11-02T15:15:40.075484Z" + "iopub.execute_input": "2023-11-04T09:20:58.249456Z", + "iopub.status.busy": "2023-11-04T09:20:58.249254Z", + "iopub.status.idle": "2023-11-04T09:20:58.258283Z", + "shell.execute_reply": "2023-11-04T09:20:58.257683Z" } }, "outputs": [ @@ -2041,39 +1803,39 @@ " \n", " \n", " \n", - " 11262\n", + " 19228\n", " True\n", " 0.000005\n", - " Coat\n", - " T - shirt / top\n", + " Dress\n", + " Shirt\n", " \n", " \n", - " 19228\n", + " 54078\n", " True\n", - " 0.000009\n", + " 0.000010\n", + " Pullover\n", " Dress\n", - " Shirt\n", " \n", " \n", - " 53564\n", + " 11262\n", " True\n", - " 0.000019\n", - " Pullover\n", + " 0.000014\n", + " Coat\n", " T - shirt / top\n", " \n", " \n", - " 45386\n", + " 53564\n", " True\n", - " 0.000029\n", - " Coat\n", - " Trouser\n", + " 0.000017\n", + " Pullover\n", + " T - shirt / top\n", " \n", " \n", - " 54078\n", + " 5473\n", " True\n", - " 0.000031\n", + " 0.000017\n", " Pullover\n", - " Dress\n", + " Trouser\n", " \n", " \n", "\n", @@ -2081,11 +1843,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "11262 True 0.000005 Coat T - shirt / top\n", - "19228 True 0.000009 Dress Shirt\n", - "53564 True 0.000019 Pullover T - shirt / top\n", - "45386 True 0.000029 Coat Trouser\n", - "54078 True 0.000031 Pullover Dress" + "19228 True 0.000005 Dress Shirt\n", + "54078 True 0.000010 Pullover Dress\n", + "11262 True 0.000014 Coat T - shirt / top\n", + "53564 True 0.000017 Pullover T - shirt / top\n", + "5473 True 0.000017 Pullover Trouser" ] }, "execution_count": 17, @@ -2138,10 +1900,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.080429Z", - "iopub.status.busy": "2023-11-02T15:15:40.080100Z", - "iopub.status.idle": "2023-11-02T15:15:40.087696Z", - "shell.execute_reply": "2023-11-02T15:15:40.086726Z" + "iopub.execute_input": "2023-11-04T09:20:58.260931Z", + "iopub.status.busy": "2023-11-04T09:20:58.260471Z", + "iopub.status.idle": "2023-11-04T09:20:58.265537Z", + "shell.execute_reply": "2023-11-04T09:20:58.264858Z" }, "nbsphinx": "hidden" }, @@ -2187,16 +1949,16 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.092584Z", - "iopub.status.busy": "2023-11-02T15:15:40.092269Z", - "iopub.status.idle": "2023-11-02T15:15:41.333110Z", - "shell.execute_reply": "2023-11-02T15:15:41.332043Z" + "iopub.execute_input": "2023-11-04T09:20:58.267759Z", + "iopub.status.busy": "2023-11-04T09:20:58.267554Z", + "iopub.status.idle": "2023-11-04T09:20:58.923032Z", + "shell.execute_reply": "2023-11-04T09:20:58.922361Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "

" ] @@ -2225,10 +1987,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.337412Z", - "iopub.status.busy": "2023-11-02T15:15:41.337085Z", - "iopub.status.idle": "2023-11-02T15:15:41.351681Z", - "shell.execute_reply": "2023-11-02T15:15:41.350641Z" + "iopub.execute_input": "2023-11-04T09:20:58.925614Z", + "iopub.status.busy": "2023-11-04T09:20:58.925203Z", + "iopub.status.idle": "2023-11-04T09:20:58.933936Z", + "shell.execute_reply": "2023-11-04T09:20:58.933391Z" } }, "outputs": [ @@ -2259,29 +2021,29 @@ " \n", " \n", " \n", - " 27080\n", + " 40378\n", " True\n", - " 0.707531\n", + " 0.687452\n", " \n", " \n", - " 29412\n", + " 54473\n", " True\n", - " 0.713320\n", + " 0.705050\n", " \n", " \n", - " 25316\n", + " 29412\n", " True\n", - " 0.717087\n", + " 0.715470\n", " \n", " \n", - " 39719\n", + " 25316\n", " True\n", - " 0.729353\n", + " 0.716273\n", " \n", " \n", - " 4156\n", + " 52247\n", " True\n", - " 0.734812\n", + " 0.725283\n", " \n", " \n", "\n", @@ -2289,11 +2051,11 @@ ], "text/plain": [ " is_outlier_issue outlier_score\n", - "27080 True 0.707531\n", - "29412 True 0.713320\n", - "25316 True 0.717087\n", - "39719 True 0.729353\n", - "4156 True 0.734812" + "40378 True 0.687452\n", + "54473 True 0.705050\n", + "29412 True 0.715470\n", + "25316 True 0.716273\n", + "52247 True 0.725283" ] }, "execution_count": 20, @@ -2395,10 +2157,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.355714Z", - "iopub.status.busy": "2023-11-02T15:15:41.355359Z", - "iopub.status.idle": "2023-11-02T15:15:41.368410Z", - "shell.execute_reply": "2023-11-02T15:15:41.367065Z" + "iopub.execute_input": "2023-11-04T09:20:58.936365Z", + "iopub.status.busy": "2023-11-04T09:20:58.935999Z", + "iopub.status.idle": "2023-11-04T09:20:58.944013Z", + "shell.execute_reply": "2023-11-04T09:20:58.943511Z" }, "nbsphinx": "hidden" }, @@ -2474,16 +2236,16 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.373562Z", - "iopub.status.busy": "2023-11-02T15:15:41.373195Z", - "iopub.status.idle": "2023-11-02T15:15:42.224803Z", - "shell.execute_reply": "2023-11-02T15:15:42.223447Z" + "iopub.execute_input": "2023-11-04T09:20:58.946354Z", + "iopub.status.busy": "2023-11-04T09:20:58.946014Z", + "iopub.status.idle": "2023-11-04T09:20:59.415655Z", + "shell.execute_reply": "2023-11-04T09:20:59.414958Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2514,10 +2276,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.228758Z", - "iopub.status.busy": "2023-11-02T15:15:42.228401Z", - "iopub.status.idle": "2023-11-02T15:15:42.262904Z", - "shell.execute_reply": "2023-11-02T15:15:42.262036Z" + "iopub.execute_input": "2023-11-04T09:20:59.418331Z", + "iopub.status.busy": "2023-11-04T09:20:59.418011Z", + "iopub.status.idle": "2023-11-04T09:20:59.434230Z", + "shell.execute_reply": "2023-11-04T09:20:59.433564Z" } }, "outputs": [ @@ -2550,39 +2312,39 @@ " \n", " \n", " \n", - " 258\n", + " 30659\n", " True\n", - " 0.000012\n", - " [9762, 54565, 47139]\n", - " 0.000012\n", + " 0.000015\n", + " [30968]\n", + " 0.000015\n", " \n", " \n", - " 9762\n", + " 30968\n", " True\n", - " 0.000012\n", - " [258, 54565, 47139]\n", - " 0.000012\n", + " 0.000015\n", + " [30659]\n", + " 0.000015\n", " \n", " \n", - " 30968\n", + " 258\n", " True\n", - " 0.000022\n", - " [30659]\n", - " 0.000022\n", + " 0.000017\n", + " [9762, 54565, 47139]\n", + " 0.000017\n", " \n", " \n", - " 30659\n", + " 9762\n", " True\n", - " 0.000022\n", - " [30968]\n", - " 0.000022\n", + " 0.000017\n", + " [258, 54565, 47139]\n", + " 0.000017\n", " \n", " \n", " 54565\n", " True\n", - " 0.000022\n", + " 0.000026\n", " [9762, 258, 47139]\n", - " 0.000022\n", + " 0.000026\n", " \n", " \n", "\n", @@ -2590,18 +2352,18 @@ ], "text/plain": [ " is_near_duplicate_issue near_duplicate_score near_duplicate_sets \\\n", - "258 True 0.000012 [9762, 54565, 47139] \n", - "9762 True 0.000012 [258, 54565, 47139] \n", - "30968 True 0.000022 [30659] \n", - "30659 True 0.000022 [30968] \n", - "54565 True 0.000022 [9762, 258, 47139] \n", + "30659 True 0.000015 [30968] \n", + "30968 True 0.000015 [30659] \n", + "258 True 0.000017 [9762, 54565, 47139] \n", + "9762 True 0.000017 [258, 54565, 47139] \n", + "54565 True 0.000026 [9762, 258, 47139] \n", "\n", " distance_to_nearest_neighbor \n", - "258 0.000012 \n", - "9762 0.000012 \n", - "30968 0.000022 \n", - "30659 0.000022 \n", - "54565 0.000022 " + "30659 0.000015 \n", + "30968 0.000015 \n", + "258 0.000017 \n", + "9762 0.000017 \n", + "54565 0.000026 " ] }, "execution_count": 23, @@ -2674,10 +2436,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.267665Z", - "iopub.status.busy": "2023-11-02T15:15:42.267314Z", - "iopub.status.idle": "2023-11-02T15:15:42.279280Z", - "shell.execute_reply": "2023-11-02T15:15:42.278046Z" + "iopub.execute_input": "2023-11-04T09:20:59.436922Z", + "iopub.status.busy": "2023-11-04T09:20:59.436555Z", + "iopub.status.idle": "2023-11-04T09:20:59.442455Z", + "shell.execute_reply": "2023-11-04T09:20:59.441913Z" }, "nbsphinx": "hidden" }, @@ -2722,18 +2484,18 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.284954Z", - "iopub.status.busy": "2023-11-02T15:15:42.284327Z", - "iopub.status.idle": "2023-11-02T15:15:43.037624Z", - "shell.execute_reply": "2023-11-02T15:15:43.036755Z" + "iopub.execute_input": "2023-11-04T09:20:59.444739Z", + "iopub.status.busy": "2023-11-04T09:20:59.444364Z", + "iopub.status.idle": "2023-11-04T09:20:59.897736Z", + "shell.execute_reply": "2023-11-04T09:20:59.897071Z" } }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", "text/plain": [ "
" ] @@ -2800,10 +2562,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.042003Z", - "iopub.status.busy": "2023-11-02T15:15:43.041266Z", - "iopub.status.idle": "2023-11-02T15:15:43.063535Z", - "shell.execute_reply": "2023-11-02T15:15:43.062613Z" + "iopub.execute_input": "2023-11-04T09:20:59.901332Z", + "iopub.status.busy": "2023-11-04T09:20:59.900984Z", + "iopub.status.idle": "2023-11-04T09:20:59.912996Z", + "shell.execute_reply": "2023-11-04T09:20:59.912397Z" } }, "outputs": [ @@ -2931,10 +2693,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.068144Z", - "iopub.status.busy": "2023-11-02T15:15:43.067582Z", - "iopub.status.idle": "2023-11-02T15:15:43.075702Z", - "shell.execute_reply": "2023-11-02T15:15:43.074794Z" + "iopub.execute_input": "2023-11-04T09:20:59.916394Z", + "iopub.status.busy": "2023-11-04T09:20:59.916056Z", + "iopub.status.idle": "2023-11-04T09:20:59.923233Z", + "shell.execute_reply": "2023-11-04T09:20:59.922675Z" }, "nbsphinx": "hidden" }, @@ -2971,10 +2733,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.079865Z", - "iopub.status.busy": "2023-11-02T15:15:43.079197Z", - "iopub.status.idle": "2023-11-02T15:15:43.409874Z", - "shell.execute_reply": "2023-11-02T15:15:43.408809Z" + "iopub.execute_input": "2023-11-04T09:20:59.925742Z", + "iopub.status.busy": "2023-11-04T09:20:59.925490Z", + "iopub.status.idle": "2023-11-04T09:21:00.125081Z", + "shell.execute_reply": "2023-11-04T09:21:00.124497Z" } }, "outputs": [ @@ -3016,10 +2778,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.414736Z", - "iopub.status.busy": "2023-11-02T15:15:43.413716Z", - "iopub.status.idle": "2023-11-02T15:15:43.427617Z", - "shell.execute_reply": "2023-11-02T15:15:43.426636Z" + "iopub.execute_input": "2023-11-04T09:21:00.127777Z", + "iopub.status.busy": "2023-11-04T09:21:00.127410Z", + "iopub.status.idle": "2023-11-04T09:21:00.135726Z", + "shell.execute_reply": "2023-11-04T09:21:00.135225Z" } }, "outputs": [ @@ -3044,47 +2806,47 @@ " \n", " \n", " \n", - " is_low_information_issue\n", " low_information_score\n", + " is_low_information_issue\n", " \n", " \n", " \n", " \n", " 53050\n", - " True\n", " 0.067975\n", + " True\n", " \n", " \n", " 40875\n", - " True\n", " 0.089929\n", + " True\n", " \n", " \n", " 9594\n", - " True\n", " 0.092601\n", + " True\n", " \n", " \n", " 34825\n", - " True\n", " 0.107744\n", + " True\n", " \n", " \n", " 37530\n", - " True\n", " 0.108516\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " is_low_information_issue low_information_score\n", - "53050 True 0.067975\n", - "40875 True 0.089929\n", - "9594 True 0.092601\n", - "34825 True 0.107744\n", - "37530 True 0.108516" + " low_information_score is_low_information_issue\n", + "53050 0.067975 True\n", + "40875 0.089929 True\n", + "9594 0.092601 True\n", + "34825 0.107744 True\n", + "37530 0.108516 True" ] }, "execution_count": 29, @@ -3105,10 +2867,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.431554Z", - 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"fe6e299677474b5db54e378feb494bd4": { + "fe602eb6950c4adb8193e1b4d6cb1670": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "HTMLModel", + "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_97b5a1af5d93477f8c14662092693155", - "placeholder": "​", - "style": "IPY_MODEL_ed50ad1dd46f489798d7b9e8cf22f305", - "value": "Downloading readme: 100%" + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_daf90e236faa41c0922e212140e77826", + "IPY_MODEL_26a56455075e410a8500d528a01214da", + "IPY_MODEL_736c417bd25f4e20bde338512436ced7" + ], + "layout": "IPY_MODEL_d706f2f9b57f4381a09209864a913ca5" } }, - "feba6d70d1f54daba5f2b892640f3ac6": { + "ffb9563a9f2e447ead263097568bc49d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -7930,7 +7708,7 @@ "width": null } }, - "ffd120466aa9408d93784aa48cb4312c": { + "ffc51b71be434d6499331e6c7f2709d4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", @@ -7945,26 +7723,10 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_1b62c4a2a7fa4cd48cf790f910023cad", + "layout": "IPY_MODEL_a8505ed4316d463cb93e002611334bca", "placeholder": "​", - "style": "IPY_MODEL_1b15dd21c7454f82a7e3b1aade1337a5", - "value": "Downloading data: 100%" - } - }, - "fffd6541a6714298bda7704e8ca87ab6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "style": "IPY_MODEL_559d94ee3b454e26afb08fa107d536d8", + "value": " 26.4M/26.4M [00:00<00:00, 115MB/s]" } } }, diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index 2a57c2348..4c9b8d038 100644 --- a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:50.076934Z", - "iopub.status.busy": "2023-11-02T15:15:50.076608Z", - "iopub.status.idle": "2023-11-02T15:15:51.959838Z", - "shell.execute_reply": "2023-11-02T15:15:51.958366Z" + "iopub.execute_input": "2023-11-04T09:21:05.973237Z", + "iopub.status.busy": "2023-11-04T09:21:05.973042Z", + "iopub.status.idle": "2023-11-04T09:21:07.004958Z", + "shell.execute_reply": "2023-11-04T09:21:07.004368Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:51.964615Z", - "iopub.status.busy": "2023-11-02T15:15:51.964073Z", - "iopub.status.idle": "2023-11-02T15:15:52.440669Z", - "shell.execute_reply": "2023-11-02T15:15:52.439559Z" + "iopub.execute_input": "2023-11-04T09:21:07.007607Z", + "iopub.status.busy": "2023-11-04T09:21:07.007341Z", + "iopub.status.idle": "2023-11-04T09:21:07.274232Z", + "shell.execute_reply": "2023-11-04T09:21:07.273590Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.445757Z", - "iopub.status.busy": "2023-11-02T15:15:52.445377Z", - "iopub.status.idle": "2023-11-02T15:15:52.466633Z", - "shell.execute_reply": "2023-11-02T15:15:52.465415Z" + "iopub.execute_input": "2023-11-04T09:21:07.277243Z", + "iopub.status.busy": "2023-11-04T09:21:07.276981Z", + "iopub.status.idle": "2023-11-04T09:21:07.289260Z", + "shell.execute_reply": "2023-11-04T09:21:07.288763Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.471098Z", - "iopub.status.busy": "2023-11-02T15:15:52.470786Z", - "iopub.status.idle": "2023-11-02T15:15:52.866752Z", - "shell.execute_reply": "2023-11-02T15:15:52.865827Z" + "iopub.execute_input": "2023-11-04T09:21:07.291448Z", + "iopub.status.busy": "2023-11-04T09:21:07.291245Z", + "iopub.status.idle": "2023-11-04T09:21:07.524446Z", + "shell.execute_reply": "2023-11-04T09:21:07.523793Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.871309Z", - "iopub.status.busy": "2023-11-02T15:15:52.870894Z", - "iopub.status.idle": "2023-11-02T15:15:52.924852Z", - "shell.execute_reply": "2023-11-02T15:15:52.923703Z" + "iopub.execute_input": "2023-11-04T09:21:07.526959Z", + "iopub.status.busy": "2023-11-04T09:21:07.526749Z", + "iopub.status.idle": "2023-11-04T09:21:07.553849Z", + "shell.execute_reply": "2023-11-04T09:21:07.553313Z" } }, "outputs": [], @@ -427,10 +427,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.930641Z", - "iopub.status.busy": "2023-11-02T15:15:52.930283Z", - "iopub.status.idle": "2023-11-02T15:15:55.351474Z", - "shell.execute_reply": "2023-11-02T15:15:55.350167Z" + "iopub.execute_input": "2023-11-04T09:21:07.556150Z", + "iopub.status.busy": "2023-11-04T09:21:07.555953Z", + "iopub.status.idle": "2023-11-04T09:21:08.855565Z", + "shell.execute_reply": "2023-11-04T09:21:08.854845Z" } }, "outputs": [ @@ -471,10 +471,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:55.357720Z", - "iopub.status.busy": "2023-11-02T15:15:55.356363Z", - "iopub.status.idle": "2023-11-02T15:15:55.399564Z", - "shell.execute_reply": "2023-11-02T15:15:55.398628Z" + "iopub.execute_input": "2023-11-04T09:21:08.858593Z", + "iopub.status.busy": "2023-11-04T09:21:08.858046Z", + "iopub.status.idle": "2023-11-04T09:21:08.875057Z", + "shell.execute_reply": "2023-11-04T09:21:08.874421Z" }, "scrolled": true }, @@ -599,10 +599,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:55.404394Z", - "iopub.status.busy": "2023-11-02T15:15:55.403817Z", - "iopub.status.idle": "2023-11-02T15:15:57.155524Z", - "shell.execute_reply": "2023-11-02T15:15:57.153900Z" + "iopub.execute_input": "2023-11-04T09:21:08.877460Z", + "iopub.status.busy": "2023-11-04T09:21:08.877078Z", + "iopub.status.idle": "2023-11-04T09:21:09.756163Z", + "shell.execute_reply": "2023-11-04T09:21:09.755465Z" }, "id": "AaHC5MRKjruT" }, @@ -721,10 +721,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.160920Z", - "iopub.status.busy": "2023-11-02T15:15:57.160109Z", - "iopub.status.idle": "2023-11-02T15:15:57.188012Z", - "shell.execute_reply": "2023-11-02T15:15:57.186914Z" + "iopub.execute_input": "2023-11-04T09:21:09.759003Z", + "iopub.status.busy": "2023-11-04T09:21:09.758483Z", + "iopub.status.idle": "2023-11-04T09:21:09.772803Z", + "shell.execute_reply": "2023-11-04T09:21:09.772262Z" }, "id": "Wy27rvyhjruU" }, @@ -773,10 +773,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.192920Z", - "iopub.status.busy": "2023-11-02T15:15:57.192426Z", - "iopub.status.idle": "2023-11-02T15:15:57.345895Z", - "shell.execute_reply": "2023-11-02T15:15:57.344707Z" + "iopub.execute_input": "2023-11-04T09:21:09.775362Z", + "iopub.status.busy": "2023-11-04T09:21:09.774896Z", + "iopub.status.idle": "2023-11-04T09:21:09.856549Z", + "shell.execute_reply": "2023-11-04T09:21:09.855846Z" }, "id": "Db8YHnyVjruU" }, @@ -883,10 +883,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.350993Z", - "iopub.status.busy": "2023-11-02T15:15:57.350140Z", - "iopub.status.idle": "2023-11-02T15:15:57.680661Z", - "shell.execute_reply": "2023-11-02T15:15:57.679683Z" + "iopub.execute_input": "2023-11-04T09:21:09.859455Z", + "iopub.status.busy": "2023-11-04T09:21:09.859138Z", + "iopub.status.idle": "2023-11-04T09:21:10.061506Z", + "shell.execute_reply": "2023-11-04T09:21:10.060865Z" }, "id": "iJqAHuS2jruV" }, @@ -923,10 +923,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.685588Z", - "iopub.status.busy": "2023-11-02T15:15:57.685200Z", - "iopub.status.idle": "2023-11-02T15:15:57.721756Z", - "shell.execute_reply": "2023-11-02T15:15:57.720702Z" + "iopub.execute_input": "2023-11-04T09:21:10.064310Z", + "iopub.status.busy": "2023-11-04T09:21:10.063840Z", + "iopub.status.idle": "2023-11-04T09:21:10.081054Z", + "shell.execute_reply": "2023-11-04T09:21:10.080559Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -988,10 +988,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.726378Z", - "iopub.status.busy": "2023-11-02T15:15:57.726002Z", - "iopub.status.idle": "2023-11-02T15:15:57.747437Z", - "shell.execute_reply": "2023-11-02T15:15:57.746440Z" + "iopub.execute_input": "2023-11-04T09:21:10.083399Z", + "iopub.status.busy": "2023-11-04T09:21:10.083200Z", + "iopub.status.idle": "2023-11-04T09:21:10.093511Z", + "shell.execute_reply": "2023-11-04T09:21:10.093027Z" }, "id": "0lonvOYvjruV" }, @@ -1138,10 +1138,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.752527Z", - "iopub.status.busy": "2023-11-02T15:15:57.751917Z", - "iopub.status.idle": "2023-11-02T15:15:57.919362Z", - "shell.execute_reply": "2023-11-02T15:15:57.918041Z" + "iopub.execute_input": "2023-11-04T09:21:10.095900Z", + "iopub.status.busy": "2023-11-04T09:21:10.095537Z", + "iopub.status.idle": "2023-11-04T09:21:10.194540Z", + "shell.execute_reply": "2023-11-04T09:21:10.193805Z" }, "id": "MfqTCa3kjruV" }, @@ -1222,10 +1222,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.926723Z", - "iopub.status.busy": "2023-11-02T15:15:57.926280Z", - "iopub.status.idle": "2023-11-02T15:15:58.203808Z", - "shell.execute_reply": "2023-11-02T15:15:58.202338Z" + "iopub.execute_input": "2023-11-04T09:21:10.197452Z", + "iopub.status.busy": "2023-11-04T09:21:10.196961Z", + "iopub.status.idle": "2023-11-04T09:21:10.339452Z", + "shell.execute_reply": "2023-11-04T09:21:10.338757Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1285,10 +1285,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.210095Z", - "iopub.status.busy": "2023-11-02T15:15:58.209694Z", - "iopub.status.idle": "2023-11-02T15:15:58.216560Z", - "shell.execute_reply": "2023-11-02T15:15:58.215685Z" + "iopub.execute_input": "2023-11-04T09:21:10.342254Z", + "iopub.status.busy": "2023-11-04T09:21:10.341935Z", + "iopub.status.idle": "2023-11-04T09:21:10.345872Z", + "shell.execute_reply": "2023-11-04T09:21:10.345221Z" }, "id": "0rXP3ZPWjruW" }, @@ -1326,10 +1326,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.221394Z", - "iopub.status.busy": "2023-11-02T15:15:58.220957Z", - "iopub.status.idle": "2023-11-02T15:15:58.230369Z", - "shell.execute_reply": "2023-11-02T15:15:58.229182Z" + "iopub.execute_input": "2023-11-04T09:21:10.348453Z", + "iopub.status.busy": "2023-11-04T09:21:10.348084Z", + "iopub.status.idle": "2023-11-04T09:21:10.352509Z", + "shell.execute_reply": "2023-11-04T09:21:10.351961Z" }, "id": "-iRPe8KXjruW" }, @@ -1384,10 +1384,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.234828Z", - "iopub.status.busy": "2023-11-02T15:15:58.234400Z", - "iopub.status.idle": "2023-11-02T15:15:58.317870Z", - "shell.execute_reply": "2023-11-02T15:15:58.316817Z" + "iopub.execute_input": "2023-11-04T09:21:10.355014Z", + "iopub.status.busy": "2023-11-04T09:21:10.354652Z", + "iopub.status.idle": "2023-11-04T09:21:10.394876Z", + "shell.execute_reply": "2023-11-04T09:21:10.394226Z" }, "id": "ZpipUliyjruW" }, @@ -1438,10 +1438,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.323285Z", - "iopub.status.busy": "2023-11-02T15:15:58.322716Z", - "iopub.status.idle": "2023-11-02T15:15:58.421165Z", - "shell.execute_reply": "2023-11-02T15:15:58.419972Z" + "iopub.execute_input": "2023-11-04T09:21:10.397359Z", + "iopub.status.busy": "2023-11-04T09:21:10.397004Z", + "iopub.status.idle": "2023-11-04T09:21:10.445078Z", + "shell.execute_reply": "2023-11-04T09:21:10.444533Z" }, "id": "SLq-3q4xjruX" }, @@ -1462,13 +1462,7 @@ "\n", "\n", " Noise Matrix (aka Noisy Channel) P(given_label|true_label) of shape (4, 4)\n", - " p(s|y)\ty=0\ty=1\ty=2\ty=3\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + " p(s|y)\ty=0\ty=1\ty=2\ty=3\n", "\t---\t---\t---\t---\n", "s=0 |\t0.76\t0.0\t0.15\t0.14\n", "s=1 |\t0.06\t0.92\t0.06\t0.0\n", @@ -1516,10 +1510,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.425576Z", - "iopub.status.busy": "2023-11-02T15:15:58.424941Z", - "iopub.status.idle": "2023-11-02T15:15:58.591569Z", - "shell.execute_reply": "2023-11-02T15:15:58.589907Z" + "iopub.execute_input": "2023-11-04T09:21:10.447501Z", + "iopub.status.busy": "2023-11-04T09:21:10.447059Z", + "iopub.status.idle": "2023-11-04T09:21:10.553777Z", + "shell.execute_reply": "2023-11-04T09:21:10.553071Z" }, "id": "g5LHhhuqFbXK" }, @@ -1551,10 +1545,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.596729Z", - "iopub.status.busy": "2023-11-02T15:15:58.596215Z", - "iopub.status.idle": "2023-11-02T15:15:58.775916Z", - "shell.execute_reply": "2023-11-02T15:15:58.774429Z" + "iopub.execute_input": "2023-11-04T09:21:10.556971Z", + "iopub.status.busy": "2023-11-04T09:21:10.556454Z", + "iopub.status.idle": "2023-11-04T09:21:10.660442Z", + "shell.execute_reply": "2023-11-04T09:21:10.659717Z" }, "id": "p7w8F8ezBcet" }, @@ -1611,10 +1605,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.781830Z", - "iopub.status.busy": "2023-11-02T15:15:58.781422Z", - "iopub.status.idle": "2023-11-02T15:15:59.131735Z", - "shell.execute_reply": "2023-11-02T15:15:59.130558Z" + "iopub.execute_input": "2023-11-04T09:21:10.663430Z", + "iopub.status.busy": "2023-11-04T09:21:10.663004Z", + "iopub.status.idle": "2023-11-04T09:21:10.865957Z", + "shell.execute_reply": "2023-11-04T09:21:10.865357Z" }, "id": "WETRL74tE_sU" }, @@ -1649,10 +1643,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.137015Z", - "iopub.status.busy": "2023-11-02T15:15:59.136429Z", - "iopub.status.idle": "2023-11-02T15:15:59.500836Z", - "shell.execute_reply": "2023-11-02T15:15:59.499499Z" + "iopub.execute_input": "2023-11-04T09:21:10.868729Z", + "iopub.status.busy": "2023-11-04T09:21:10.868174Z", + "iopub.status.idle": "2023-11-04T09:21:11.081753Z", + "shell.execute_reply": "2023-11-04T09:21:11.081068Z" }, "id": "kCfdx2gOLmXS" }, @@ -1814,10 +1808,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.506258Z", - "iopub.status.busy": "2023-11-02T15:15:59.505387Z", - "iopub.status.idle": "2023-11-02T15:15:59.518360Z", - "shell.execute_reply": "2023-11-02T15:15:59.516928Z" + "iopub.execute_input": "2023-11-04T09:21:11.084422Z", + "iopub.status.busy": "2023-11-04T09:21:11.084171Z", + "iopub.status.idle": "2023-11-04T09:21:11.090978Z", + "shell.execute_reply": "2023-11-04T09:21:11.090391Z" }, "id": "-uogYRWFYnuu" }, @@ -1871,10 +1865,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.523331Z", - "iopub.status.busy": "2023-11-02T15:15:59.522610Z", - "iopub.status.idle": "2023-11-02T15:15:59.882143Z", - "shell.execute_reply": "2023-11-02T15:15:59.881131Z" + "iopub.execute_input": "2023-11-04T09:21:11.093448Z", + "iopub.status.busy": "2023-11-04T09:21:11.092993Z", + "iopub.status.idle": "2023-11-04T09:21:11.311419Z", + "shell.execute_reply": "2023-11-04T09:21:11.310713Z" }, "id": "pG-ljrmcYp9Q" }, @@ -1921,10 +1915,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.886969Z", - "iopub.status.busy": "2023-11-02T15:15:59.886374Z", - "iopub.status.idle": "2023-11-02T15:16:02.103520Z", - "shell.execute_reply": "2023-11-02T15:16:02.102244Z" + "iopub.execute_input": "2023-11-04T09:21:11.314187Z", + "iopub.status.busy": "2023-11-04T09:21:11.313830Z", + "iopub.status.idle": "2023-11-04T09:21:12.374953Z", + "shell.execute_reply": "2023-11-04T09:21:12.374232Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index a5bad1bde..a182817b6 100644 --- a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb @@ -89,10 +89,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:08.260336Z", - "iopub.status.busy": "2023-11-02T15:16:08.259986Z", - "iopub.status.idle": "2023-11-02T15:16:10.014087Z", - "shell.execute_reply": "2023-11-02T15:16:10.012937Z" + "iopub.execute_input": "2023-11-04T09:21:18.171864Z", + "iopub.status.busy": "2023-11-04T09:21:18.171672Z", + "iopub.status.idle": "2023-11-04T09:21:19.173197Z", + "shell.execute_reply": "2023-11-04T09:21:19.172500Z" }, "nbsphinx": "hidden" }, @@ -102,7 +102,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -136,10 +136,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.019512Z", - "iopub.status.busy": "2023-11-02T15:16:10.018596Z", - "iopub.status.idle": "2023-11-02T15:16:10.024194Z", - "shell.execute_reply": "2023-11-02T15:16:10.023041Z" + "iopub.execute_input": "2023-11-04T09:21:19.176270Z", + "iopub.status.busy": "2023-11-04T09:21:19.175883Z", + "iopub.status.idle": "2023-11-04T09:21:19.179377Z", + "shell.execute_reply": "2023-11-04T09:21:19.178773Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.028764Z", - "iopub.status.busy": "2023-11-02T15:16:10.028387Z", - "iopub.status.idle": "2023-11-02T15:16:10.044189Z", - "shell.execute_reply": "2023-11-02T15:16:10.043058Z" + "iopub.execute_input": "2023-11-04T09:21:19.181870Z", + "iopub.status.busy": "2023-11-04T09:21:19.181485Z", + "iopub.status.idle": "2023-11-04T09:21:19.190837Z", + "shell.execute_reply": "2023-11-04T09:21:19.190210Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.048046Z", - "iopub.status.busy": "2023-11-02T15:16:10.047727Z", - "iopub.status.idle": "2023-11-02T15:16:10.160423Z", - "shell.execute_reply": "2023-11-02T15:16:10.159259Z" + "iopub.execute_input": "2023-11-04T09:21:19.193291Z", + "iopub.status.busy": "2023-11-04T09:21:19.192820Z", + "iopub.status.idle": "2023-11-04T09:21:19.241206Z", + "shell.execute_reply": "2023-11-04T09:21:19.240501Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.165107Z", - "iopub.status.busy": "2023-11-02T15:16:10.164753Z", - "iopub.status.idle": "2023-11-02T15:16:10.202210Z", - "shell.execute_reply": "2023-11-02T15:16:10.201137Z" + "iopub.execute_input": "2023-11-04T09:21:19.244183Z", + "iopub.status.busy": "2023-11-04T09:21:19.243928Z", + "iopub.status.idle": "2023-11-04T09:21:19.263512Z", + "shell.execute_reply": "2023-11-04T09:21:19.262914Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.207198Z", - "iopub.status.busy": "2023-11-02T15:16:10.206799Z", - "iopub.status.idle": "2023-11-02T15:16:10.213646Z", - "shell.execute_reply": "2023-11-02T15:16:10.212633Z" + "iopub.execute_input": "2023-11-04T09:21:19.266097Z", + "iopub.status.busy": "2023-11-04T09:21:19.265795Z", + "iopub.status.idle": "2023-11-04T09:21:19.270060Z", + "shell.execute_reply": "2023-11-04T09:21:19.269386Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.219815Z", - "iopub.status.busy": "2023-11-02T15:16:10.219102Z", - "iopub.status.idle": "2023-11-02T15:16:10.277905Z", - "shell.execute_reply": "2023-11-02T15:16:10.276680Z" + "iopub.execute_input": "2023-11-04T09:21:19.272815Z", + "iopub.status.busy": "2023-11-04T09:21:19.272395Z", + "iopub.status.idle": "2023-11-04T09:21:19.301227Z", + "shell.execute_reply": "2023-11-04T09:21:19.300697Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.282667Z", - "iopub.status.busy": "2023-11-02T15:16:10.282265Z", - "iopub.status.idle": "2023-11-02T15:16:10.340680Z", - "shell.execute_reply": "2023-11-02T15:16:10.339529Z" + "iopub.execute_input": "2023-11-04T09:21:19.303818Z", + "iopub.status.busy": "2023-11-04T09:21:19.303429Z", + "iopub.status.idle": "2023-11-04T09:21:19.330467Z", + "shell.execute_reply": "2023-11-04T09:21:19.329937Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.345490Z", - "iopub.status.busy": "2023-11-02T15:16:10.345171Z", - "iopub.status.idle": "2023-11-02T15:16:12.875032Z", - "shell.execute_reply": "2023-11-02T15:16:12.873964Z" + "iopub.execute_input": "2023-11-04T09:21:19.333088Z", + "iopub.status.busy": "2023-11-04T09:21:19.332711Z", + "iopub.status.idle": "2023-11-04T09:21:20.666514Z", + "shell.execute_reply": "2023-11-04T09:21:20.665859Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.880246Z", - "iopub.status.busy": "2023-11-02T15:16:12.879335Z", - "iopub.status.idle": "2023-11-02T15:16:12.892666Z", - "shell.execute_reply": "2023-11-02T15:16:12.891506Z" + "iopub.execute_input": "2023-11-04T09:21:20.669978Z", + "iopub.status.busy": "2023-11-04T09:21:20.669281Z", + "iopub.status.idle": "2023-11-04T09:21:20.677286Z", + "shell.execute_reply": "2023-11-04T09:21:20.676612Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.898089Z", - "iopub.status.busy": "2023-11-02T15:16:12.897695Z", - "iopub.status.idle": "2023-11-02T15:16:12.922715Z", - "shell.execute_reply": "2023-11-02T15:16:12.921743Z" + "iopub.execute_input": "2023-11-04T09:21:20.680259Z", + "iopub.status.busy": "2023-11-04T09:21:20.679674Z", + "iopub.status.idle": "2023-11-04T09:21:20.694418Z", + "shell.execute_reply": "2023-11-04T09:21:20.693842Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.926501Z", - "iopub.status.busy": "2023-11-02T15:16:12.926196Z", - "iopub.status.idle": "2023-11-02T15:16:12.939820Z", - "shell.execute_reply": "2023-11-02T15:16:12.937801Z" + "iopub.execute_input": "2023-11-04T09:21:20.696918Z", + "iopub.status.busy": "2023-11-04T09:21:20.696565Z", + "iopub.status.idle": "2023-11-04T09:21:20.703526Z", + "shell.execute_reply": "2023-11-04T09:21:20.702954Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.944111Z", - "iopub.status.busy": "2023-11-02T15:16:12.943753Z", - "iopub.status.idle": "2023-11-02T15:16:12.948820Z", - "shell.execute_reply": "2023-11-02T15:16:12.947790Z" + "iopub.execute_input": "2023-11-04T09:21:20.705996Z", + "iopub.status.busy": "2023-11-04T09:21:20.705748Z", + "iopub.status.idle": "2023-11-04T09:21:20.708844Z", + "shell.execute_reply": "2023-11-04T09:21:20.708245Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.952843Z", - "iopub.status.busy": "2023-11-02T15:16:12.952502Z", - "iopub.status.idle": "2023-11-02T15:16:12.959523Z", - "shell.execute_reply": "2023-11-02T15:16:12.958276Z" + "iopub.execute_input": "2023-11-04T09:21:20.711409Z", + "iopub.status.busy": "2023-11-04T09:21:20.711210Z", + "iopub.status.idle": "2023-11-04T09:21:20.715384Z", + "shell.execute_reply": "2023-11-04T09:21:20.714753Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.964802Z", - "iopub.status.busy": "2023-11-02T15:16:12.964451Z", - "iopub.status.idle": "2023-11-02T15:16:12.969013Z", - "shell.execute_reply": "2023-11-02T15:16:12.968037Z" + "iopub.execute_input": "2023-11-04T09:21:20.717858Z", + "iopub.status.busy": "2023-11-04T09:21:20.717458Z", + "iopub.status.idle": "2023-11-04T09:21:20.720920Z", + "shell.execute_reply": "2023-11-04T09:21:20.720434Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.980844Z", - "iopub.status.busy": "2023-11-02T15:16:12.979008Z", - "iopub.status.idle": "2023-11-02T15:16:12.989986Z", - "shell.execute_reply": "2023-11-02T15:16:12.988910Z" + "iopub.execute_input": "2023-11-04T09:21:20.723228Z", + "iopub.status.busy": "2023-11-04T09:21:20.722933Z", + "iopub.status.idle": "2023-11-04T09:21:20.727805Z", + "shell.execute_reply": "2023-11-04T09:21:20.727267Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.995976Z", - "iopub.status.busy": "2023-11-02T15:16:12.994591Z", - "iopub.status.idle": "2023-11-02T15:16:13.066669Z", - "shell.execute_reply": "2023-11-02T15:16:13.065421Z" + "iopub.execute_input": "2023-11-04T09:21:20.730385Z", + "iopub.status.busy": "2023-11-04T09:21:20.730012Z", + "iopub.status.idle": "2023-11-04T09:21:20.762668Z", + "shell.execute_reply": "2023-11-04T09:21:20.762025Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:13.071750Z", - "iopub.status.busy": "2023-11-02T15:16:13.071260Z", - "iopub.status.idle": "2023-11-02T15:16:13.079810Z", - "shell.execute_reply": "2023-11-02T15:16:13.078603Z" + "iopub.execute_input": "2023-11-04T09:21:20.765515Z", + "iopub.status.busy": "2023-11-04T09:21:20.764994Z", + "iopub.status.idle": "2023-11-04T09:21:20.770319Z", + "shell.execute_reply": "2023-11-04T09:21:20.769694Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index 34c8989c2..66b4a6932 100644 --- a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb @@ -63,10 +63,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:18.966439Z", - "iopub.status.busy": "2023-11-02T15:16:18.966106Z", - "iopub.status.idle": "2023-11-02T15:16:20.814821Z", - "shell.execute_reply": "2023-11-02T15:16:20.813757Z" + "iopub.execute_input": "2023-11-04T09:21:25.590800Z", + "iopub.status.busy": "2023-11-04T09:21:25.590272Z", + "iopub.status.idle": "2023-11-04T09:21:26.642282Z", + "shell.execute_reply": "2023-11-04T09:21:26.641658Z" }, "nbsphinx": "hidden" }, @@ -78,7 +78,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -104,10 +104,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:20.820437Z", - "iopub.status.busy": "2023-11-02T15:16:20.819648Z", - "iopub.status.idle": "2023-11-02T15:16:21.370040Z", - "shell.execute_reply": "2023-11-02T15:16:21.368875Z" + "iopub.execute_input": "2023-11-04T09:21:26.645149Z", + "iopub.status.busy": "2023-11-04T09:21:26.644694Z", + "iopub.status.idle": "2023-11-04T09:21:26.928998Z", + "shell.execute_reply": "2023-11-04T09:21:26.928381Z" } }, "outputs": [], @@ -269,10 +269,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:21.375149Z", - "iopub.status.busy": "2023-11-02T15:16:21.374736Z", - "iopub.status.idle": "2023-11-02T15:16:21.399929Z", - "shell.execute_reply": "2023-11-02T15:16:21.398831Z" + "iopub.execute_input": "2023-11-04T09:21:26.932173Z", + "iopub.status.busy": "2023-11-04T09:21:26.931729Z", + "iopub.status.idle": "2023-11-04T09:21:26.946021Z", + "shell.execute_reply": "2023-11-04T09:21:26.945486Z" }, "nbsphinx": "hidden" }, @@ -408,10 +408,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:21.404239Z", - "iopub.status.busy": "2023-11-02T15:16:21.403724Z", - "iopub.status.idle": "2023-11-02T15:16:26.691118Z", - "shell.execute_reply": "2023-11-02T15:16:26.690103Z" + "iopub.execute_input": "2023-11-04T09:21:26.948534Z", + "iopub.status.busy": "2023-11-04T09:21:26.948092Z", + "iopub.status.idle": "2023-11-04T09:21:29.586248Z", + "shell.execute_reply": "2023-11-04T09:21:29.585519Z" } }, "outputs": [ @@ -453,10 +453,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:26.695818Z", - "iopub.status.busy": "2023-11-02T15:16:26.695434Z", - "iopub.status.idle": "2023-11-02T15:16:29.720322Z", - "shell.execute_reply": "2023-11-02T15:16:29.719085Z" + "iopub.execute_input": "2023-11-04T09:21:29.589342Z", + "iopub.status.busy": "2023-11-04T09:21:29.588814Z", + "iopub.status.idle": "2023-11-04T09:21:31.123982Z", + "shell.execute_reply": "2023-11-04T09:21:31.123375Z" } }, "outputs": [], @@ -498,10 +498,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:29.725465Z", - "iopub.status.busy": "2023-11-02T15:16:29.724662Z", - "iopub.status.idle": "2023-11-02T15:16:29.744941Z", - "shell.execute_reply": "2023-11-02T15:16:29.743775Z" + "iopub.execute_input": "2023-11-04T09:21:31.126914Z", + "iopub.status.busy": "2023-11-04T09:21:31.126519Z", + "iopub.status.idle": "2023-11-04T09:21:31.143779Z", + "shell.execute_reply": "2023-11-04T09:21:31.143259Z" } }, "outputs": [ @@ -543,10 +543,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:29.748857Z", - "iopub.status.busy": "2023-11-02T15:16:29.748500Z", - "iopub.status.idle": "2023-11-02T15:16:32.216115Z", - "shell.execute_reply": "2023-11-02T15:16:32.214068Z" + "iopub.execute_input": "2023-11-04T09:21:31.146265Z", + "iopub.status.busy": "2023-11-04T09:21:31.145963Z", + "iopub.status.idle": "2023-11-04T09:21:32.459675Z", + "shell.execute_reply": "2023-11-04T09:21:32.458895Z" } }, "outputs": [ @@ -584,10 +584,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:32.221724Z", - "iopub.status.busy": "2023-11-02T15:16:32.220226Z", - "iopub.status.idle": "2023-11-02T15:16:37.821810Z", - "shell.execute_reply": "2023-11-02T15:16:37.820832Z" + "iopub.execute_input": "2023-11-04T09:21:32.462599Z", + "iopub.status.busy": "2023-11-04T09:21:32.462011Z", + "iopub.status.idle": "2023-11-04T09:21:35.279336Z", + "shell.execute_reply": "2023-11-04T09:21:35.278687Z" } }, "outputs": [ @@ -622,10 +622,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.826727Z", - "iopub.status.busy": "2023-11-02T15:16:37.826042Z", - "iopub.status.idle": "2023-11-02T15:16:37.836636Z", - "shell.execute_reply": "2023-11-02T15:16:37.835381Z" + "iopub.execute_input": "2023-11-04T09:21:35.282049Z", + "iopub.status.busy": "2023-11-04T09:21:35.281530Z", + "iopub.status.idle": "2023-11-04T09:21:35.286525Z", + "shell.execute_reply": "2023-11-04T09:21:35.285890Z" } }, "outputs": [ @@ -662,10 +662,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.841496Z", - "iopub.status.busy": "2023-11-02T15:16:37.840738Z", - "iopub.status.idle": "2023-11-02T15:16:37.848770Z", - "shell.execute_reply": "2023-11-02T15:16:37.847782Z" + "iopub.execute_input": "2023-11-04T09:21:35.288688Z", + "iopub.status.busy": "2023-11-04T09:21:35.288481Z", + "iopub.status.idle": "2023-11-04T09:21:35.292633Z", + "shell.execute_reply": "2023-11-04T09:21:35.292078Z" } }, "outputs": [], @@ -688,10 +688,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.853119Z", - "iopub.status.busy": "2023-11-02T15:16:37.852470Z", - "iopub.status.idle": "2023-11-02T15:16:37.859797Z", - "shell.execute_reply": "2023-11-02T15:16:37.858709Z" + "iopub.execute_input": "2023-11-04T09:21:35.295093Z", + "iopub.status.busy": "2023-11-04T09:21:35.294715Z", + "iopub.status.idle": "2023-11-04T09:21:35.298072Z", + "shell.execute_reply": "2023-11-04T09:21:35.297484Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index 5567885b3..64dd8fc1d 100644 --- a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:43.008632Z", - "iopub.status.busy": "2023-11-02T15:16:43.008295Z", - "iopub.status.idle": "2023-11-02T15:16:44.917722Z", - "shell.execute_reply": "2023-11-02T15:16:44.916482Z" + "iopub.execute_input": "2023-11-04T09:21:40.284425Z", + "iopub.status.busy": "2023-11-04T09:21:40.283890Z", + "iopub.status.idle": "2023-11-04T09:21:41.326271Z", + "shell.execute_reply": "2023-11-04T09:21:41.325665Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:44.923385Z", - "iopub.status.busy": "2023-11-02T15:16:44.922328Z", - "iopub.status.idle": "2023-11-02T15:16:47.899900Z", - "shell.execute_reply": "2023-11-02T15:16:47.898193Z" + "iopub.execute_input": "2023-11-04T09:21:41.329335Z", + "iopub.status.busy": "2023-11-04T09:21:41.328693Z", + "iopub.status.idle": "2023-11-04T09:21:42.796096Z", + "shell.execute_reply": "2023-11-04T09:21:42.795370Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.905514Z", - "iopub.status.busy": "2023-11-02T15:16:47.904896Z", - "iopub.status.idle": "2023-11-02T15:16:47.911481Z", - "shell.execute_reply": "2023-11-02T15:16:47.910505Z" + "iopub.execute_input": "2023-11-04T09:21:42.799236Z", + "iopub.status.busy": "2023-11-04T09:21:42.798826Z", + "iopub.status.idle": "2023-11-04T09:21:42.802270Z", + "shell.execute_reply": "2023-11-04T09:21:42.801614Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.915566Z", - "iopub.status.busy": "2023-11-02T15:16:47.915070Z", - "iopub.status.idle": "2023-11-02T15:16:47.925856Z", - "shell.execute_reply": "2023-11-02T15:16:47.924765Z" + "iopub.execute_input": "2023-11-04T09:21:42.804794Z", + "iopub.status.busy": "2023-11-04T09:21:42.804342Z", + "iopub.status.idle": "2023-11-04T09:21:42.810039Z", + "shell.execute_reply": "2023-11-04T09:21:42.809523Z" } }, "outputs": [], @@ -194,10 +194,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.929979Z", - "iopub.status.busy": "2023-11-02T15:16:47.929675Z", - "iopub.status.idle": "2023-11-02T15:16:48.914821Z", - "shell.execute_reply": "2023-11-02T15:16:48.913818Z" + "iopub.execute_input": "2023-11-04T09:21:42.812350Z", + "iopub.status.busy": "2023-11-04T09:21:42.812143Z", + "iopub.status.idle": "2023-11-04T09:21:43.431738Z", + "shell.execute_reply": "2023-11-04T09:21:43.431087Z" }, "scrolled": true }, @@ -237,10 +237,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.921007Z", - "iopub.status.busy": "2023-11-02T15:16:48.920180Z", - "iopub.status.idle": "2023-11-02T15:16:48.932694Z", - "shell.execute_reply": "2023-11-02T15:16:48.931266Z" + "iopub.execute_input": "2023-11-04T09:21:43.434628Z", + "iopub.status.busy": "2023-11-04T09:21:43.434383Z", + "iopub.status.idle": "2023-11-04T09:21:43.440512Z", + "shell.execute_reply": "2023-11-04T09:21:43.439985Z" } }, "outputs": [ @@ -492,10 +492,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.937251Z", - "iopub.status.busy": "2023-11-02T15:16:48.936874Z", - "iopub.status.idle": "2023-11-02T15:16:48.943853Z", - "shell.execute_reply": "2023-11-02T15:16:48.942838Z" + "iopub.execute_input": "2023-11-04T09:21:43.442863Z", + "iopub.status.busy": "2023-11-04T09:21:43.442413Z", + "iopub.status.idle": "2023-11-04T09:21:43.446609Z", + "shell.execute_reply": "2023-11-04T09:21:43.445987Z" } }, "outputs": [ @@ -552,10 +552,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.948346Z", - "iopub.status.busy": "2023-11-02T15:16:48.947958Z", - "iopub.status.idle": "2023-11-02T15:16:49.924508Z", - "shell.execute_reply": "2023-11-02T15:16:49.923044Z" + "iopub.execute_input": "2023-11-04T09:21:43.448942Z", + "iopub.status.busy": "2023-11-04T09:21:43.448604Z", + "iopub.status.idle": "2023-11-04T09:21:44.074289Z", + "shell.execute_reply": "2023-11-04T09:21:44.073541Z" } }, "outputs": [ @@ -611,10 +611,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:49.930257Z", - "iopub.status.busy": "2023-11-02T15:16:49.929650Z", - "iopub.status.idle": "2023-11-02T15:16:50.102027Z", - "shell.execute_reply": "2023-11-02T15:16:50.100818Z" + "iopub.execute_input": "2023-11-04T09:21:44.076863Z", + "iopub.status.busy": "2023-11-04T09:21:44.076645Z", + "iopub.status.idle": "2023-11-04T09:21:44.168997Z", + "shell.execute_reply": "2023-11-04T09:21:44.168317Z" } }, "outputs": [ @@ -655,10 +655,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.106977Z", - "iopub.status.busy": "2023-11-02T15:16:50.106538Z", - "iopub.status.idle": "2023-11-02T15:16:50.116989Z", - "shell.execute_reply": "2023-11-02T15:16:50.115775Z" + "iopub.execute_input": "2023-11-04T09:21:44.171517Z", + "iopub.status.busy": "2023-11-04T09:21:44.171310Z", + "iopub.status.idle": "2023-11-04T09:21:44.176108Z", + "shell.execute_reply": "2023-11-04T09:21:44.175565Z" } }, "outputs": [ @@ -695,10 +695,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.121708Z", - "iopub.status.busy": "2023-11-02T15:16:50.121315Z", - "iopub.status.idle": "2023-11-02T15:16:50.727187Z", - "shell.execute_reply": "2023-11-02T15:16:50.726232Z" + "iopub.execute_input": "2023-11-04T09:21:44.178455Z", + "iopub.status.busy": "2023-11-04T09:21:44.178104Z", + "iopub.status.idle": "2023-11-04T09:21:44.553030Z", + "shell.execute_reply": "2023-11-04T09:21:44.552347Z" } }, "outputs": [ @@ -757,10 +757,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.731975Z", - "iopub.status.busy": "2023-11-02T15:16:50.731399Z", - "iopub.status.idle": "2023-11-02T15:16:51.257454Z", - "shell.execute_reply": "2023-11-02T15:16:51.256406Z" + "iopub.execute_input": "2023-11-04T09:21:44.556460Z", + "iopub.status.busy": "2023-11-04T09:21:44.556063Z", + "iopub.status.idle": "2023-11-04T09:21:44.890588Z", + "shell.execute_reply": "2023-11-04T09:21:44.889922Z" } }, "outputs": [ @@ -807,10 +807,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:51.262629Z", - "iopub.status.busy": "2023-11-02T15:16:51.262021Z", - "iopub.status.idle": "2023-11-02T15:16:51.933274Z", - "shell.execute_reply": "2023-11-02T15:16:51.932377Z" + "iopub.execute_input": "2023-11-04T09:21:44.893789Z", + "iopub.status.busy": "2023-11-04T09:21:44.893348Z", + "iopub.status.idle": "2023-11-04T09:21:45.275927Z", + "shell.execute_reply": "2023-11-04T09:21:45.275276Z" } }, "outputs": [ @@ -857,10 +857,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:51.938388Z", - "iopub.status.busy": "2023-11-02T15:16:51.937872Z", - "iopub.status.idle": "2023-11-02T15:16:52.725775Z", - "shell.execute_reply": "2023-11-02T15:16:52.724383Z" + "iopub.execute_input": "2023-11-04T09:21:45.279277Z", + "iopub.status.busy": "2023-11-04T09:21:45.278881Z", + "iopub.status.idle": "2023-11-04T09:21:45.739514Z", + "shell.execute_reply": "2023-11-04T09:21:45.738868Z" } }, "outputs": [ @@ -920,10 +920,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:52.731966Z", - "iopub.status.busy": "2023-11-02T15:16:52.731247Z", - "iopub.status.idle": "2023-11-02T15:16:53.473091Z", - "shell.execute_reply": "2023-11-02T15:16:53.471986Z" + "iopub.execute_input": "2023-11-04T09:21:45.744207Z", + "iopub.status.busy": "2023-11-04T09:21:45.743816Z", + "iopub.status.idle": "2023-11-04T09:21:46.195187Z", + "shell.execute_reply": "2023-11-04T09:21:46.194502Z" } }, "outputs": [ @@ -966,10 +966,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:53.477888Z", - "iopub.status.busy": "2023-11-02T15:16:53.477367Z", - "iopub.status.idle": "2023-11-02T15:16:53.845656Z", - "shell.execute_reply": "2023-11-02T15:16:53.844556Z" + "iopub.execute_input": "2023-11-04T09:21:46.198027Z", + "iopub.status.busy": "2023-11-04T09:21:46.197642Z", + "iopub.status.idle": "2023-11-04T09:21:46.422276Z", + "shell.execute_reply": "2023-11-04T09:21:46.421581Z" } }, "outputs": [ @@ -1012,10 +1012,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:53.851117Z", - "iopub.status.busy": "2023-11-02T15:16:53.850348Z", - "iopub.status.idle": "2023-11-02T15:16:54.126415Z", - "shell.execute_reply": "2023-11-02T15:16:54.125128Z" + "iopub.execute_input": "2023-11-04T09:21:46.425001Z", + "iopub.status.busy": "2023-11-04T09:21:46.424615Z", + "iopub.status.idle": "2023-11-04T09:21:46.624623Z", + "shell.execute_reply": "2023-11-04T09:21:46.624007Z" } }, "outputs": [ @@ -1050,10 +1050,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:54.131061Z", - "iopub.status.busy": "2023-11-02T15:16:54.130005Z", - "iopub.status.idle": "2023-11-02T15:16:54.136059Z", - "shell.execute_reply": "2023-11-02T15:16:54.134978Z" + "iopub.execute_input": "2023-11-04T09:21:46.627540Z", + "iopub.status.busy": "2023-11-04T09:21:46.627176Z", + "iopub.status.idle": "2023-11-04T09:21:46.630922Z", + "shell.execute_reply": "2023-11-04T09:21:46.630388Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index 59c2b89e4..05e62c249 100644 --- a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:57.851137Z", - "iopub.status.busy": "2023-11-02T15:16:57.850587Z", - "iopub.status.idle": "2023-11-02T15:17:01.436396Z", - "shell.execute_reply": "2023-11-02T15:17:01.435214Z" + "iopub.execute_input": "2023-11-04T09:21:48.697377Z", + "iopub.status.busy": "2023-11-04T09:21:48.697181Z", + "iopub.status.idle": "2023-11-04T09:21:50.609377Z", + "shell.execute_reply": "2023-11-04T09:21:50.608645Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:01.441469Z", - "iopub.status.busy": "2023-11-02T15:17:01.440854Z", - "iopub.status.idle": "2023-11-02T15:17:02.009348Z", - "shell.execute_reply": "2023-11-02T15:17:02.008267Z" + "iopub.execute_input": "2023-11-04T09:21:50.612814Z", + "iopub.status.busy": "2023-11-04T09:21:50.612261Z", + "iopub.status.idle": "2023-11-04T09:21:50.932638Z", + "shell.execute_reply": "2023-11-04T09:21:50.931923Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:02.014157Z", - "iopub.status.busy": "2023-11-02T15:17:02.013614Z", - "iopub.status.idle": "2023-11-02T15:17:02.021162Z", - "shell.execute_reply": "2023-11-02T15:17:02.020049Z" + "iopub.execute_input": "2023-11-04T09:21:50.935481Z", + "iopub.status.busy": "2023-11-04T09:21:50.935262Z", + "iopub.status.idle": "2023-11-04T09:21:50.939757Z", + "shell.execute_reply": "2023-11-04T09:21:50.939273Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:02.025482Z", - "iopub.status.busy": "2023-11-02T15:17:02.025079Z", - "iopub.status.idle": "2023-11-02T15:17:16.116758Z", - "shell.execute_reply": "2023-11-02T15:17:16.115753Z" + "iopub.execute_input": "2023-11-04T09:21:50.942058Z", + "iopub.status.busy": "2023-11-04T09:21:50.941852Z", + "iopub.status.idle": "2023-11-04T09:21:56.335284Z", + "shell.execute_reply": "2023-11-04T09:21:56.334668Z" } }, "outputs": [ @@ -242,7 +242,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b9472a0e1af842379eacfcf729a6e73b", + "model_id": "3a8ce117c43c4a819acb7107cdf05f96", "version_major": 2, "version_minor": 0 }, @@ -361,10 +361,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:16.121362Z", - "iopub.status.busy": "2023-11-02T15:17:16.120939Z", - "iopub.status.idle": "2023-11-02T15:17:16.133997Z", - "shell.execute_reply": "2023-11-02T15:17:16.132880Z" + "iopub.execute_input": "2023-11-04T09:21:56.338217Z", + "iopub.status.busy": "2023-11-04T09:21:56.337752Z", + "iopub.status.idle": "2023-11-04T09:21:56.342967Z", + "shell.execute_reply": "2023-11-04T09:21:56.342335Z" }, "nbsphinx": "hidden" }, @@ -415,10 +415,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:16.139004Z", - "iopub.status.busy": "2023-11-02T15:17:16.138162Z", - "iopub.status.idle": "2023-11-02T15:17:17.120606Z", - "shell.execute_reply": "2023-11-02T15:17:17.119574Z" + "iopub.execute_input": "2023-11-04T09:21:56.345429Z", + "iopub.status.busy": "2023-11-04T09:21:56.345057Z", + "iopub.status.idle": "2023-11-04T09:21:56.879578Z", + "shell.execute_reply": "2023-11-04T09:21:56.878919Z" } }, "outputs": [ @@ -451,10 +451,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:17.125044Z", - "iopub.status.busy": "2023-11-02T15:17:17.124458Z", - "iopub.status.idle": "2023-11-02T15:17:18.056556Z", - "shell.execute_reply": "2023-11-02T15:17:18.055672Z" + "iopub.execute_input": "2023-11-04T09:21:56.882140Z", + "iopub.status.busy": "2023-11-04T09:21:56.881886Z", + "iopub.status.idle": "2023-11-04T09:21:57.364034Z", + "shell.execute_reply": "2023-11-04T09:21:57.363321Z" } }, "outputs": [ @@ -492,10 +492,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:18.062729Z", - "iopub.status.busy": "2023-11-02T15:17:18.061889Z", - "iopub.status.idle": "2023-11-02T15:17:18.067845Z", - "shell.execute_reply": "2023-11-02T15:17:18.066838Z" + "iopub.execute_input": "2023-11-04T09:21:57.366505Z", + "iopub.status.busy": "2023-11-04T09:21:57.366300Z", + "iopub.status.idle": "2023-11-04T09:21:57.370065Z", + "shell.execute_reply": "2023-11-04T09:21:57.369524Z" } }, "outputs": [], @@ -518,10 +518,10 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:18.071716Z", - "iopub.status.busy": "2023-11-02T15:17:18.071364Z", - "iopub.status.idle": "2023-11-02T15:17:45.248022Z", - "shell.execute_reply": "2023-11-02T15:17:45.247048Z" + "iopub.execute_input": "2023-11-04T09:21:57.372238Z", + "iopub.status.busy": "2023-11-04T09:21:57.372040Z", + "iopub.status.idle": "2023-11-04T09:22:10.543759Z", + "shell.execute_reply": "2023-11-04T09:22:10.543067Z" } }, "outputs": [ @@ -580,10 +580,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:45.252258Z", - "iopub.status.busy": "2023-11-02T15:17:45.251672Z", - "iopub.status.idle": "2023-11-02T15:17:47.782132Z", - "shell.execute_reply": "2023-11-02T15:17:47.781343Z" + "iopub.execute_input": "2023-11-04T09:22:10.546683Z", + "iopub.status.busy": "2023-11-04T09:22:10.546249Z", + "iopub.status.idle": "2023-11-04T09:22:12.164959Z", + "shell.execute_reply": "2023-11-04T09:22:12.164310Z" } }, "outputs": [ @@ -627,10 +627,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:47.789932Z", - "iopub.status.busy": "2023-11-02T15:17:47.789457Z", - "iopub.status.idle": "2023-11-02T15:17:48.216848Z", - "shell.execute_reply": "2023-11-02T15:17:48.215711Z" + "iopub.execute_input": "2023-11-04T09:22:12.168405Z", + "iopub.status.busy": "2023-11-04T09:22:12.167858Z", + "iopub.status.idle": "2023-11-04T09:22:12.427085Z", + "shell.execute_reply": "2023-11-04T09:22:12.426397Z" } }, "outputs": [ @@ -666,10 +666,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:48.221413Z", - "iopub.status.busy": "2023-11-02T15:17:48.220606Z", - "iopub.status.idle": "2023-11-02T15:17:49.267570Z", - "shell.execute_reply": "2023-11-02T15:17:49.266636Z" + "iopub.execute_input": "2023-11-04T09:22:12.430311Z", + "iopub.status.busy": "2023-11-04T09:22:12.429951Z", + "iopub.status.idle": "2023-11-04T09:22:13.101325Z", + "shell.execute_reply": "2023-11-04T09:22:13.100587Z" } }, "outputs": [ @@ -719,10 +719,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:49.271994Z", - "iopub.status.busy": "2023-11-02T15:17:49.271436Z", - "iopub.status.idle": "2023-11-02T15:17:50.078748Z", - "shell.execute_reply": "2023-11-02T15:17:50.076580Z" + "iopub.execute_input": "2023-11-04T09:22:13.104559Z", + "iopub.status.busy": "2023-11-04T09:22:13.104313Z", + "iopub.status.idle": "2023-11-04T09:22:13.577839Z", + "shell.execute_reply": "2023-11-04T09:22:13.577166Z" } }, "outputs": [ @@ -770,10 +770,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:50.083397Z", - "iopub.status.busy": "2023-11-02T15:17:50.082570Z", - "iopub.status.idle": "2023-11-02T15:17:50.522569Z", - "shell.execute_reply": "2023-11-02T15:17:50.521469Z" + "iopub.execute_input": "2023-11-04T09:22:13.580468Z", + "iopub.status.busy": "2023-11-04T09:22:13.580080Z", + "iopub.status.idle": "2023-11-04T09:22:13.825305Z", + "shell.execute_reply": "2023-11-04T09:22:13.824572Z" } }, "outputs": [ @@ -829,10 +829,10 @@ "id": "40fed4ef", "metadata": { "execution": { - 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"_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_355bfbcf91f24a419c79b2fe8c89694a", - "placeholder": "​", - "style": "IPY_MODEL_e24517e4b8b74874b789fec65e6b03b4", - "value": " 170498071/170498071 [00:05<00:00, 35376540.01it/s]" - } - }, - "8d588339dc134e209405ce96ac054bf0": { + "fbf96cbd8dbf42ba87a6176239c55824": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1290,74 +1358,6 @@ "visibility": null, "width": null } - }, - "b9472a0e1af842379eacfcf729a6e73b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_2d144b2f99774ffaac01c5c4ec4fc379", - "IPY_MODEL_587637739e8741eba9241eb8e12ef52e", - "IPY_MODEL_810e2bd013044c62a6cd3bb81ec06409" - ], - "layout": "IPY_MODEL_8d588339dc134e209405ce96ac054bf0" - } - }, - "cb7027054add4a6296c264af28ff9df2": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "e24517e4b8b74874b789fec65e6b03b4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "e5ae1eac3d4f487c9566b9a659793dfc": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index b3b4950d9..a670be679 100644 --- a/master/.doctrees/nbsphinx/tutorials/regression.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/regression.ipynb @@ -94,10 +94,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:47.065880Z", - "iopub.status.busy": "2023-11-02T15:19:47.065501Z", - "iopub.status.idle": "2023-11-02T15:19:48.929522Z", - "shell.execute_reply": "2023-11-02T15:19:48.928324Z" + "iopub.execute_input": "2023-11-04T09:22:59.201314Z", + "iopub.status.busy": "2023-11-04T09:22:59.201119Z", + "iopub.status.idle": "2023-11-04T09:23:00.237150Z", + "shell.execute_reply": "2023-11-04T09:23:00.236534Z" }, "nbsphinx": "hidden" }, @@ -109,7 +109,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.934496Z", - "iopub.status.busy": "2023-11-02T15:19:48.933600Z", - "iopub.status.idle": "2023-11-02T15:19:48.975723Z", - "shell.execute_reply": "2023-11-02T15:19:48.974591Z" + "iopub.execute_input": "2023-11-04T09:23:00.240049Z", + "iopub.status.busy": "2023-11-04T09:23:00.239640Z", + "iopub.status.idle": "2023-11-04T09:23:00.259100Z", + "shell.execute_reply": "2023-11-04T09:23:00.258616Z" } }, "outputs": [], @@ -157,10 +157,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.980484Z", - "iopub.status.busy": "2023-11-02T15:19:48.980160Z", - "iopub.status.idle": "2023-11-02T15:19:48.986273Z", - "shell.execute_reply": "2023-11-02T15:19:48.985435Z" + "iopub.execute_input": "2023-11-04T09:23:00.261358Z", + "iopub.status.busy": "2023-11-04T09:23:00.261013Z", + "iopub.status.idle": "2023-11-04T09:23:00.264150Z", + "shell.execute_reply": "2023-11-04T09:23:00.263562Z" }, "nbsphinx": "hidden" }, @@ -191,10 +191,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.990814Z", - "iopub.status.busy": "2023-11-02T15:19:48.990231Z", - "iopub.status.idle": "2023-11-02T15:19:49.236220Z", - "shell.execute_reply": "2023-11-02T15:19:49.235131Z" + "iopub.execute_input": "2023-11-04T09:23:00.266621Z", + "iopub.status.busy": "2023-11-04T09:23:00.266152Z", + "iopub.status.idle": "2023-11-04T09:23:00.381520Z", + "shell.execute_reply": "2023-11-04T09:23:00.380987Z" } }, "outputs": [ @@ -367,10 +367,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:49.241255Z", - "iopub.status.busy": "2023-11-02T15:19:49.240881Z", - "iopub.status.idle": "2023-11-02T15:19:49.730318Z", - "shell.execute_reply": "2023-11-02T15:19:49.729255Z" + "iopub.execute_input": "2023-11-04T09:23:00.384009Z", + "iopub.status.busy": "2023-11-04T09:23:00.383807Z", + "iopub.status.idle": "2023-11-04T09:23:00.649275Z", + "shell.execute_reply": "2023-11-04T09:23:00.648644Z" }, "nbsphinx": "hidden" }, @@ -410,10 +410,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:49.734868Z", - "iopub.status.busy": "2023-11-02T15:19:49.734443Z", - "iopub.status.idle": "2023-11-02T15:19:50.165414Z", - "shell.execute_reply": "2023-11-02T15:19:50.164418Z" + "iopub.execute_input": "2023-11-04T09:23:00.652085Z", + "iopub.status.busy": "2023-11-04T09:23:00.651874Z", + "iopub.status.idle": "2023-11-04T09:23:00.868731Z", + "shell.execute_reply": "2023-11-04T09:23:00.868029Z" } }, "outputs": [ @@ -449,10 +449,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:50.169654Z", - "iopub.status.busy": "2023-11-02T15:19:50.169281Z", - "iopub.status.idle": "2023-11-02T15:19:50.176664Z", - "shell.execute_reply": "2023-11-02T15:19:50.175658Z" + "iopub.execute_input": "2023-11-04T09:23:00.871465Z", + "iopub.status.busy": "2023-11-04T09:23:00.870993Z", + "iopub.status.idle": "2023-11-04T09:23:00.875707Z", + "shell.execute_reply": "2023-11-04T09:23:00.875082Z" } }, "outputs": [], @@ -470,10 +470,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:50.180933Z", - "iopub.status.busy": "2023-11-02T15:19:50.180628Z", - "iopub.status.idle": "2023-11-02T15:19:50.192803Z", - "shell.execute_reply": "2023-11-02T15:19:50.191845Z" + "iopub.execute_input": "2023-11-04T09:23:00.878168Z", + "iopub.status.busy": "2023-11-04T09:23:00.877690Z", + "iopub.status.idle": "2023-11-04T09:23:00.884163Z", + "shell.execute_reply": "2023-11-04T09:23:00.883526Z" } }, "outputs": [], @@ -520,10 +520,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:50.196755Z", - "iopub.status.busy": "2023-11-02T15:19:50.196395Z", - "iopub.status.idle": "2023-11-02T15:19:50.200810Z", - "shell.execute_reply": "2023-11-02T15:19:50.199742Z" + "iopub.execute_input": "2023-11-04T09:23:00.886843Z", + "iopub.status.busy": "2023-11-04T09:23:00.886482Z", + "iopub.status.idle": "2023-11-04T09:23:00.889200Z", + "shell.execute_reply": "2023-11-04T09:23:00.888667Z" } }, "outputs": [], @@ -538,10 +538,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:50.205459Z", - "iopub.status.busy": "2023-11-02T15:19:50.205107Z", - "iopub.status.idle": "2023-11-02T15:20:11.240316Z", - "shell.execute_reply": "2023-11-02T15:20:11.239392Z" + "iopub.execute_input": "2023-11-04T09:23:00.891647Z", + "iopub.status.busy": "2023-11-04T09:23:00.891286Z", + "iopub.status.idle": "2023-11-04T09:23:10.976778Z", + "shell.execute_reply": "2023-11-04T09:23:10.976130Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.246384Z", - "iopub.status.busy": "2023-11-02T15:20:11.245481Z", - "iopub.status.idle": "2023-11-02T15:20:11.257032Z", - "shell.execute_reply": "2023-11-02T15:20:11.255924Z" + "iopub.execute_input": "2023-11-04T09:23:10.980105Z", + "iopub.status.busy": "2023-11-04T09:23:10.979457Z", + "iopub.status.idle": "2023-11-04T09:23:10.987274Z", + "shell.execute_reply": "2023-11-04T09:23:10.986677Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.262333Z", - "iopub.status.busy": "2023-11-02T15:20:11.261823Z", - "iopub.status.idle": "2023-11-02T15:20:11.268473Z", - "shell.execute_reply": "2023-11-02T15:20:11.267458Z" + "iopub.execute_input": "2023-11-04T09:23:10.989739Z", + "iopub.status.busy": "2023-11-04T09:23:10.989371Z", + "iopub.status.idle": "2023-11-04T09:23:10.993056Z", + "shell.execute_reply": "2023-11-04T09:23:10.992553Z" } }, "outputs": [], @@ -689,10 +689,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.272383Z", - "iopub.status.busy": "2023-11-02T15:20:11.271809Z", - "iopub.status.idle": "2023-11-02T15:20:11.277155Z", - "shell.execute_reply": "2023-11-02T15:20:11.276208Z" + "iopub.execute_input": "2023-11-04T09:23:10.995509Z", + "iopub.status.busy": "2023-11-04T09:23:10.995024Z", + "iopub.status.idle": "2023-11-04T09:23:10.998894Z", + "shell.execute_reply": "2023-11-04T09:23:10.998345Z" } }, "outputs": [ @@ -727,10 +727,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.281064Z", - "iopub.status.busy": "2023-11-02T15:20:11.280541Z", - "iopub.status.idle": "2023-11-02T15:20:11.284957Z", - "shell.execute_reply": "2023-11-02T15:20:11.284110Z" + "iopub.execute_input": "2023-11-04T09:23:11.001060Z", + "iopub.status.busy": "2023-11-04T09:23:11.000861Z", + "iopub.status.idle": "2023-11-04T09:23:11.004219Z", + "shell.execute_reply": "2023-11-04T09:23:11.003679Z" } }, "outputs": [], @@ -749,10 +749,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.288916Z", - "iopub.status.busy": "2023-11-02T15:20:11.288363Z", - "iopub.status.idle": "2023-11-02T15:20:11.309515Z", - "shell.execute_reply": "2023-11-02T15:20:11.308555Z" + "iopub.execute_input": "2023-11-04T09:23:11.006476Z", + "iopub.status.busy": "2023-11-04T09:23:11.006234Z", + "iopub.status.idle": "2023-11-04T09:23:11.014962Z", + "shell.execute_reply": "2023-11-04T09:23:11.014430Z" } }, "outputs": [ @@ -894,10 +894,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.314119Z", - "iopub.status.busy": "2023-11-02T15:20:11.313348Z", - "iopub.status.idle": "2023-11-02T15:20:11.611177Z", - "shell.execute_reply": "2023-11-02T15:20:11.610312Z" + "iopub.execute_input": "2023-11-04T09:23:11.017441Z", + "iopub.status.busy": "2023-11-04T09:23:11.017105Z", + "iopub.status.idle": "2023-11-04T09:23:11.161849Z", + "shell.execute_reply": "2023-11-04T09:23:11.161245Z" } }, "outputs": [ @@ -936,10 +936,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.615471Z", - "iopub.status.busy": "2023-11-02T15:20:11.614620Z", - "iopub.status.idle": "2023-11-02T15:20:11.869834Z", - "shell.execute_reply": "2023-11-02T15:20:11.868986Z" + "iopub.execute_input": "2023-11-04T09:23:11.164498Z", + "iopub.status.busy": "2023-11-04T09:23:11.164138Z", + "iopub.status.idle": "2023-11-04T09:23:11.298709Z", + "shell.execute_reply": "2023-11-04T09:23:11.298096Z" } }, "outputs": [ @@ -995,10 +995,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:11.873829Z", - "iopub.status.busy": "2023-11-02T15:20:11.873227Z", - "iopub.status.idle": "2023-11-02T15:20:13.134834Z", - "shell.execute_reply": "2023-11-02T15:20:13.133939Z" + "iopub.execute_input": "2023-11-04T09:23:11.301397Z", + "iopub.status.busy": "2023-11-04T09:23:11.300978Z", + "iopub.status.idle": "2023-11-04T09:23:11.899877Z", + "shell.execute_reply": "2023-11-04T09:23:11.899158Z" } }, "outputs": [], @@ -1014,10 +1014,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:13.140029Z", - "iopub.status.busy": "2023-11-02T15:20:13.139300Z", - "iopub.status.idle": "2023-11-02T15:20:13.288320Z", - "shell.execute_reply": "2023-11-02T15:20:13.287423Z" + "iopub.execute_input": "2023-11-04T09:23:11.903096Z", + "iopub.status.busy": "2023-11-04T09:23:11.902888Z", + "iopub.status.idle": "2023-11-04T09:23:11.984976Z", + "shell.execute_reply": "2023-11-04T09:23:11.984398Z" } }, "outputs": [ @@ -1056,10 +1056,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:13.292458Z", - "iopub.status.busy": "2023-11-02T15:20:13.291950Z", - "iopub.status.idle": "2023-11-02T15:20:13.308796Z", - "shell.execute_reply": "2023-11-02T15:20:13.307235Z" + "iopub.execute_input": "2023-11-04T09:23:11.987536Z", + "iopub.status.busy": "2023-11-04T09:23:11.987328Z", + "iopub.status.idle": "2023-11-04T09:23:11.997192Z", + "shell.execute_reply": "2023-11-04T09:23:11.996682Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index e0ec17e8a..0f2351858 100644 --- a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:18.629281Z", - "iopub.status.busy": "2023-11-02T15:20:18.628532Z", - "iopub.status.idle": "2023-11-02T15:20:21.268148Z", - "shell.execute_reply": "2023-11-02T15:20:21.266691Z" + "iopub.execute_input": "2023-11-04T09:23:17.004234Z", + "iopub.status.busy": "2023-11-04T09:23:17.004042Z", + "iopub.status.idle": "2023-11-04T09:23:19.239153Z", + "shell.execute_reply": "2023-11-04T09:23:19.238424Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:21.274248Z", - "iopub.status.busy": "2023-11-02T15:20:21.273266Z", - "iopub.status.idle": "2023-11-02T15:21:43.613773Z", - "shell.execute_reply": "2023-11-02T15:21:43.612463Z" + "iopub.execute_input": "2023-11-04T09:23:19.242178Z", + "iopub.status.busy": "2023-11-04T09:23:19.241784Z", + "iopub.status.idle": "2023-11-04T09:24:31.056224Z", + "shell.execute_reply": "2023-11-04T09:24:31.055397Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:43.620191Z", - "iopub.status.busy": "2023-11-02T15:21:43.619823Z", - "iopub.status.idle": "2023-11-02T15:21:45.359965Z", - "shell.execute_reply": "2023-11-02T15:21:45.358871Z" + "iopub.execute_input": "2023-11-04T09:24:31.059482Z", + "iopub.status.busy": "2023-11-04T09:24:31.059051Z", + "iopub.status.idle": "2023-11-04T09:24:32.043644Z", + "shell.execute_reply": "2023-11-04T09:24:32.043005Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.365414Z", - "iopub.status.busy": "2023-11-02T15:21:45.364801Z", - "iopub.status.idle": "2023-11-02T15:21:45.371456Z", - "shell.execute_reply": "2023-11-02T15:21:45.370540Z" + "iopub.execute_input": "2023-11-04T09:24:32.046564Z", + "iopub.status.busy": "2023-11-04T09:24:32.046079Z", + "iopub.status.idle": "2023-11-04T09:24:32.049513Z", + "shell.execute_reply": "2023-11-04T09:24:32.049002Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.375901Z", - "iopub.status.busy": "2023-11-02T15:21:45.375104Z", - "iopub.status.idle": "2023-11-02T15:21:45.383715Z", - "shell.execute_reply": "2023-11-02T15:21:45.382594Z" + "iopub.execute_input": "2023-11-04T09:24:32.051864Z", + "iopub.status.busy": "2023-11-04T09:24:32.051664Z", + "iopub.status.idle": "2023-11-04T09:24:32.055948Z", + "shell.execute_reply": "2023-11-04T09:24:32.055410Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.387438Z", - "iopub.status.busy": "2023-11-02T15:21:45.387115Z", - "iopub.status.idle": "2023-11-02T15:21:45.395222Z", - "shell.execute_reply": "2023-11-02T15:21:45.394281Z" + "iopub.execute_input": "2023-11-04T09:24:32.058141Z", + "iopub.status.busy": "2023-11-04T09:24:32.057948Z", + "iopub.status.idle": "2023-11-04T09:24:32.062001Z", + "shell.execute_reply": "2023-11-04T09:24:32.061458Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.400142Z", - "iopub.status.busy": "2023-11-02T15:21:45.399417Z", - "iopub.status.idle": "2023-11-02T15:21:45.405440Z", - "shell.execute_reply": "2023-11-02T15:21:45.404491Z" + "iopub.execute_input": "2023-11-04T09:24:32.064269Z", + "iopub.status.busy": "2023-11-04T09:24:32.064076Z", + "iopub.status.idle": "2023-11-04T09:24:32.067045Z", + "shell.execute_reply": "2023-11-04T09:24:32.066531Z" } }, "outputs": [], @@ -333,10 +333,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.409559Z", - "iopub.status.busy": "2023-11-02T15:21:45.409281Z", - "iopub.status.idle": "2023-11-02T15:23:08.878184Z", - "shell.execute_reply": "2023-11-02T15:23:08.876873Z" + "iopub.execute_input": "2023-11-04T09:24:32.069245Z", + "iopub.status.busy": "2023-11-04T09:24:32.069057Z", + "iopub.status.idle": "2023-11-04T09:25:23.986399Z", + "shell.execute_reply": "2023-11-04T09:25:23.985696Z" } }, "outputs": [ @@ -344,13 +344,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Multiprocessing will default to using the number of logical cores (2). To default to number of physical cores: pip install psutil\n" + "Multiprocessing will default to using the number of logical cores (4). To default to number of physical cores: pip install psutil\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fbc0d7f26d9247179cfb96e1e7b0ba8a", + "model_id": "455f6efc5872419fa7d6c42efed407b7", "version_major": 2, "version_minor": 0 }, @@ -364,7 +364,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "490a3ec3e934490597a189fec0c08f71", + "model_id": "644d8d222bb7434d9224bb6b3207e61b", "version_major": 2, "version_minor": 0 }, @@ -407,10 +407,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:08.883027Z", - "iopub.status.busy": "2023-11-02T15:23:08.882641Z", - "iopub.status.idle": "2023-11-02T15:23:10.189720Z", - "shell.execute_reply": "2023-11-02T15:23:10.188525Z" + "iopub.execute_input": "2023-11-04T09:25:23.989704Z", + "iopub.status.busy": "2023-11-04T09:25:23.988999Z", + "iopub.status.idle": "2023-11-04T09:25:24.737069Z", + "shell.execute_reply": "2023-11-04T09:25:24.736390Z" } }, "outputs": [ @@ -453,10 +453,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:10.194580Z", - "iopub.status.busy": "2023-11-02T15:23:10.193840Z", - "iopub.status.idle": "2023-11-02T15:23:14.027461Z", - "shell.execute_reply": "2023-11-02T15:23:14.026369Z" + "iopub.execute_input": "2023-11-04T09:25:24.739788Z", + "iopub.status.busy": "2023-11-04T09:25:24.739456Z", + "iopub.status.idle": "2023-11-04T09:25:26.815649Z", + "shell.execute_reply": "2023-11-04T09:25:26.814981Z" } }, "outputs": [ @@ -526,10 +526,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:14.032407Z", - "iopub.status.busy": "2023-11-02T15:23:14.031504Z", - "iopub.status.idle": "2023-11-02T15:24:06.999821Z", - "shell.execute_reply": "2023-11-02T15:24:06.998894Z" + "iopub.execute_input": "2023-11-04T09:25:26.818208Z", + "iopub.status.busy": "2023-11-04T09:25:26.818004Z", + "iopub.status.idle": "2023-11-04T09:25:55.823288Z", + "shell.execute_reply": "2023-11-04T09:25:55.822614Z" } }, "outputs": [ @@ -546,7 +546,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 9070/4997436 [00:00<00:55, 90690.57it/s]" + " 0%| | 17107/4997436 [00:00<00:29, 171063.23it/s]" ] }, { @@ -554,7 +554,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 18511/4997436 [00:00<00:53, 92808.93it/s]" + " 1%| | 34625/4997436 [00:00<00:28, 173478.59it/s]" ] }, { @@ -562,7 +562,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 27792/4997436 [00:00<00:55, 89947.99it/s]" + " 1%| | 51973/4997436 [00:00<00:28, 172726.04it/s]" ] }, { @@ -570,7 +570,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 37460/4997436 [00:00<00:53, 92550.24it/s]" + " 1%|▏ | 69426/4997436 [00:00<00:28, 173432.65it/s]" ] }, { @@ -578,7 +578,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 46727/4997436 [00:00<00:53, 92078.61it/s]" + " 2%|▏ | 86770/4997436 [00:00<00:28, 173320.07it/s]" ] }, { @@ -586,7 +586,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 56095/4997436 [00:00<00:53, 92612.29it/s]" + " 2%|▏ | 104275/4997436 [00:00<00:28, 173905.69it/s]" ] }, { @@ -594,7 +594,7 @@ "output_type": "stream", "text": [ "\r", - " 1%|▏ | 65383/4997436 [00:00<00:53, 92689.10it/s]" + " 2%|▏ | 121666/4997436 [00:00<00:28, 173345.27it/s]" ] }, { @@ -602,7 +602,7 @@ "output_type": "stream", "text": [ "\r", - " 1%|▏ | 74656/4997436 [00:00<00:53, 91892.86it/s]" + " 3%|▎ | 139002/4997436 [00:00<00:28, 172522.49it/s]" ] }, { @@ -610,7 +610,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 84199/4997436 [00:00<00:52, 92984.48it/s]" + " 3%|▎ | 156460/4997436 [00:00<00:27, 173160.68it/s]" ] }, { @@ -618,7 +618,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 93501/4997436 [00:01<00:53, 90862.93it/s]" + " 3%|▎ | 173778/4997436 [00:01<00:27, 172892.55it/s]" ] }, { @@ -626,7 +626,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 102896/4997436 [00:01<00:53, 91782.98it/s]" + " 4%|▍ | 191068/4997436 [00:01<00:27, 172673.55it/s]" ] }, { @@ -634,7 +634,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 112356/4997436 [00:01<00:52, 92616.71it/s]" + " 4%|▍ | 208336/4997436 [00:01<00:27, 172431.89it/s]" ] }, { @@ -642,7 +642,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 121837/4997436 [00:01<00:52, 93269.13it/s]" + " 5%|▍ | 225864/4997436 [00:01<00:27, 173289.20it/s]" ] }, { @@ -650,7 +650,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 131446/4997436 [00:01<00:51, 94110.12it/s]" + " 5%|▍ | 243240/4997436 [00:01<00:27, 173428.63it/s]" ] }, { @@ -658,7 +658,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 140863/4997436 [00:01<00:51, 93566.08it/s]" + " 5%|▌ | 260609/4997436 [00:01<00:27, 173505.71it/s]" ] }, { @@ -666,7 +666,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 150346/4997436 [00:01<00:51, 93940.46it/s]" + " 6%|▌ | 278119/4997436 [00:01<00:27, 173984.08it/s]" ] }, { @@ -674,7 +674,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 159958/4997436 [00:01<00:51, 94586.84it/s]" + " 6%|▌ | 295575/4997436 [00:01<00:26, 174155.30it/s]" ] }, { @@ -682,7 +682,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 169425/4997436 [00:01<00:51, 94607.37it/s]" + " 6%|▋ | 312991/4997436 [00:01<00:27, 171762.41it/s]" ] }, { @@ -690,7 +690,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▎ | 178888/4997436 [00:01<00:51, 94404.44it/s]" + " 7%|▋ | 330493/4997436 [00:01<00:27, 172729.29it/s]" ] }, { @@ -698,7 +698,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 188330/4997436 [00:02<00:51, 93943.38it/s]" + " 7%|▋ | 347915/4997436 [00:02<00:26, 173171.78it/s]" ] }, { @@ -706,7 +706,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 197726/4997436 [00:02<00:51, 93792.22it/s]" + " 7%|▋ | 365286/4997436 [00:02<00:26, 173331.10it/s]" ] }, { @@ -714,7 +714,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 207107/4997436 [00:02<00:51, 93381.42it/s]" + " 8%|▊ | 382644/4997436 [00:02<00:26, 173401.75it/s]" ] }, { @@ -722,7 +722,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 216698/4997436 [00:02<00:50, 94123.69it/s]" + " 8%|▊ | 399987/4997436 [00:02<00:26, 173106.09it/s]" ] }, { @@ -730,7 +730,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 226194/4997436 [00:02<00:50, 94369.61it/s]" + " 8%|▊ | 417480/4997436 [00:02<00:26, 173648.83it/s]" ] }, { @@ -738,7 +738,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 235632/4997436 [00:02<00:51, 92475.28it/s]" + " 9%|▊ | 434876/4997436 [00:02<00:26, 173740.44it/s]" ] }, { @@ -746,7 +746,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 245163/4997436 [00:02<00:50, 93306.94it/s]" + " 9%|▉ | 452252/4997436 [00:02<00:26, 173738.78it/s]" ] }, { @@ -754,7 +754,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 254502/4997436 [00:02<00:51, 91682.82it/s]" + " 9%|▉ | 469627/4997436 [00:02<00:26, 173413.70it/s]" ] }, { @@ -762,7 +762,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 263681/4997436 [00:02<00:51, 91109.18it/s]" + " 10%|▉ | 486997/4997436 [00:02<00:25, 173495.87it/s]" ] }, { @@ -770,7 +770,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 273205/4997436 [00:02<00:51, 92320.25it/s]" + " 10%|█ | 504348/4997436 [00:02<00:25, 173494.21it/s]" ] }, { @@ -778,7 +778,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 282444/4997436 [00:03<00:52, 89136.57it/s]" + " 10%|█ | 521789/4997436 [00:03<00:25, 173764.12it/s]" ] }, { @@ -786,7 +786,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 291958/4997436 [00:03<00:51, 90871.68it/s]" + " 11%|█ | 539166/4997436 [00:03<00:25, 173546.26it/s]" ] }, { @@ -794,7 +794,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 301139/4997436 [00:03<00:51, 91129.27it/s]" + " 11%|█ | 556717/4997436 [00:03<00:25, 174132.74it/s]" ] }, { @@ -802,7 +802,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 310831/4997436 [00:03<00:50, 92831.82it/s]" + " 11%|█▏ | 574138/4997436 [00:03<00:25, 174152.96it/s]" ] }, { @@ -810,7 +810,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▋ | 320130/4997436 [00:03<00:50, 92266.18it/s]" + " 12%|█▏ | 591554/4997436 [00:03<00:25, 174032.35it/s]" ] }, { @@ -818,7 +818,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 329368/4997436 [00:03<00:50, 91877.68it/s]" + " 12%|█▏ | 608958/4997436 [00:03<00:25, 173901.23it/s]" ] }, { @@ -826,7 +826,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 338905/4997436 [00:03<00:50, 92909.63it/s]" + " 13%|█▎ | 626356/4997436 [00:03<00:25, 173921.90it/s]" ] }, { @@ -834,7 +834,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 348203/4997436 [00:03<00:50, 92822.65it/s]" + " 13%|█▎ | 643749/4997436 [00:03<00:25, 173758.48it/s]" ] }, { @@ -842,7 +842,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 357766/4997436 [00:03<00:49, 93655.92it/s]" + " 13%|█▎ | 661125/4997436 [00:03<00:25, 171272.16it/s]" ] }, { @@ -850,7 +850,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 367441/4997436 [00:03<00:48, 94577.22it/s]" + " 14%|█▎ | 678375/4997436 [00:03<00:25, 171633.25it/s]" ] }, { @@ -858,7 +858,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 376978/4997436 [00:04<00:48, 94809.80it/s]" + " 14%|█▍ | 695728/4997436 [00:04<00:24, 172194.03it/s]" ] }, { @@ -866,7 +866,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 386612/4997436 [00:04<00:48, 95264.17it/s]" + " 14%|█▍ | 712979/4997436 [00:04<00:24, 172285.78it/s]" ] }, { @@ -874,7 +874,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 396141/4997436 [00:04<00:48, 94281.14it/s]" + " 15%|█▍ | 730331/4997436 [00:04<00:24, 172652.23it/s]" ] }, { @@ -882,7 +882,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 405690/4997436 [00:04<00:48, 94637.65it/s]" + " 15%|█▍ | 747605/4997436 [00:04<00:24, 172675.70it/s]" ] }, { @@ -890,7 +890,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 415157/4997436 [00:04<00:48, 94567.52it/s]" + " 15%|█▌ | 764875/4997436 [00:04<00:24, 172420.84it/s]" ] }, { @@ -898,7 +898,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 424646/4997436 [00:04<00:48, 94659.31it/s]" + " 16%|█▌ | 782216/4997436 [00:04<00:24, 172715.82it/s]" ] }, { @@ -906,7 +906,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▊ | 434371/4997436 [00:04<00:47, 95430.71it/s]" + " 16%|█▌ | 799506/4997436 [00:04<00:24, 172768.07it/s]" ] }, { @@ -914,7 +914,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 444093/4997436 [00:04<00:47, 95963.50it/s]" + " 16%|█▋ | 816784/4997436 [00:04<00:24, 172728.51it/s]" ] }, { @@ -922,7 +922,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 453691/4997436 [00:04<00:47, 95876.32it/s]" + " 17%|█▋ | 834058/4997436 [00:04<00:24, 170555.55it/s]" ] }, { @@ -930,7 +930,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 463280/4997436 [00:04<00:47, 95578.36it/s]" + " 17%|█▋ | 851296/4997436 [00:04<00:24, 171095.65it/s]" ] }, { @@ -938,7 +938,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 472925/4997436 [00:05<00:47, 95797.11it/s]" + " 17%|█▋ | 868509/4997436 [00:05<00:24, 171400.02it/s]" ] }, { @@ -946,7 +946,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|▉ | 482719/4997436 [00:05<00:46, 96434.79it/s]" + " 18%|█▊ | 885748/4997436 [00:05<00:23, 171691.75it/s]" ] }, { @@ -954,7 +954,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|▉ | 492443/4997436 [00:05<00:46, 96672.04it/s]" + " 18%|█▊ | 903051/4997436 [00:05<00:23, 172088.38it/s]" ] }, { @@ -962,7 +962,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 502230/4997436 [00:05<00:46, 97027.21it/s]" + " 18%|█▊ | 920358/4997436 [00:05<00:23, 172377.43it/s]" ] }, { @@ -970,7 +970,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 511934/4997436 [00:05<00:46, 96091.99it/s]" + " 19%|█▉ | 937749/4997436 [00:05<00:23, 172834.26it/s]" ] }, { @@ -978,7 +978,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 521546/4997436 [00:05<00:47, 95104.39it/s]" + " 19%|█▉ | 955034/4997436 [00:05<00:23, 172746.84it/s]" ] }, { @@ -986,7 +986,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 531306/4997436 [00:05<00:46, 95838.66it/s]" + " 19%|█▉ | 972362/4997436 [00:05<00:23, 172902.69it/s]" ] }, { @@ -994,7 +994,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 540894/4997436 [00:05<00:46, 95412.52it/s]" + " 20%|█▉ | 989653/4997436 [00:05<00:23, 172821.44it/s]" ] }, { @@ -1002,7 +1002,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 550544/4997436 [00:05<00:46, 95718.10it/s]" + " 20%|██ | 1006936/4997436 [00:05<00:23, 170734.00it/s]" ] }, { @@ -1010,7 +1010,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 560118/4997436 [00:05<00:47, 94223.63it/s]" + " 20%|██ | 1024240/4997436 [00:05<00:23, 171417.33it/s]" ] }, { @@ -1018,7 +1018,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█▏ | 569547/4997436 [00:06<00:47, 93850.32it/s]" + " 21%|██ | 1041507/4997436 [00:06<00:23, 171787.71it/s]" ] }, { @@ -1026,7 +1026,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 578936/4997436 [00:06<00:47, 93086.22it/s]" + " 21%|██ | 1058705/4997436 [00:06<00:22, 171843.35it/s]" ] }, { @@ -1034,7 +1034,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 588371/4997436 [00:06<00:47, 93456.05it/s]" + " 22%|██▏ | 1075971/4997436 [00:06<00:22, 172084.30it/s]" ] }, { @@ -1042,7 +1042,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 597758/4997436 [00:06<00:47, 93573.74it/s]" + " 22%|██▏ | 1093243/4997436 [00:06<00:22, 172271.07it/s]" ] }, { @@ -1050,7 +1050,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 607242/4997436 [00:06<00:46, 93948.30it/s]" + " 22%|██▏ | 1110549/4997436 [00:06<00:22, 172505.21it/s]" ] }, { @@ -1058,7 +1058,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 616639/4997436 [00:06<00:46, 93237.36it/s]" + " 23%|██▎ | 1127801/4997436 [00:06<00:22, 172161.35it/s]" ] }, { @@ -1066,7 +1066,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 626069/4997436 [00:06<00:46, 93550.74it/s]" + " 23%|██▎ | 1145072/4997436 [00:06<00:22, 172323.05it/s]" ] }, { @@ -1074,7 +1074,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 635702/4997436 [00:06<00:46, 94374.13it/s]" + " 23%|██▎ | 1162330/4997436 [00:06<00:22, 172398.71it/s]" ] }, { @@ -1082,7 +1082,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 645376/4997436 [00:06<00:45, 95077.36it/s]" + " 24%|██▎ | 1179899/4997436 [00:06<00:22, 173383.09it/s]" ] }, { @@ -1090,7 +1090,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 655035/4997436 [00:06<00:45, 95525.84it/s]" + " 24%|██▍ | 1197434/4997436 [00:06<00:21, 173969.15it/s]" ] }, { @@ -1098,7 +1098,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 664589/4997436 [00:07<00:45, 95058.37it/s]" + " 24%|██▍ | 1215034/4997436 [00:07<00:21, 174574.75it/s]" ] }, { @@ -1106,7 +1106,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 674097/4997436 [00:07<00:46, 93653.73it/s]" + " 25%|██▍ | 1232578/4997436 [00:07<00:21, 174832.39it/s]" ] }, { @@ -1114,7 +1114,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▎ | 683468/4997436 [00:07<00:46, 91902.80it/s]" + " 25%|██▌ | 1250168/4997436 [00:07<00:21, 175149.38it/s]" ] }, { @@ -1122,7 +1122,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 692674/4997436 [00:07<00:46, 91946.07it/s]" + " 25%|██▌ | 1267684/4997436 [00:07<00:21, 175073.62it/s]" ] }, { @@ -1130,7 +1130,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 701911/4997436 [00:07<00:46, 92067.26it/s]" + " 26%|██▌ | 1285192/4997436 [00:07<00:21, 174999.14it/s]" ] }, { @@ -1138,7 +1138,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 711191/4997436 [00:07<00:46, 92280.15it/s]" + " 26%|██▌ | 1302870/4997436 [00:07<00:21, 175529.47it/s]" ] }, { @@ -1146,7 +1146,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 720423/4997436 [00:07<00:46, 91532.63it/s]" + " 26%|██▋ | 1320550/4997436 [00:07<00:20, 175907.61it/s]" ] }, { @@ -1154,7 +1154,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 729853/4997436 [00:07<00:46, 92349.79it/s]" + " 27%|██▋ | 1338187/4997436 [00:07<00:20, 176042.81it/s]" ] }, { @@ -1162,7 +1162,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 739092/4997436 [00:07<00:46, 91457.30it/s]" + " 27%|██▋ | 1355845/4997436 [00:07<00:20, 176199.69it/s]" ] }, { @@ -1170,7 +1170,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 748430/4997436 [00:08<00:46, 92024.32it/s]" + " 27%|██▋ | 1373466/4997436 [00:07<00:20, 176132.68it/s]" ] }, { @@ -1178,7 +1178,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 757636/4997436 [00:08<00:46, 90929.76it/s]" + " 28%|██▊ | 1391080/4997436 [00:08<00:20, 175815.39it/s]" ] }, { @@ -1186,7 +1186,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 766999/4997436 [00:08<00:46, 91724.81it/s]" + " 28%|██▊ | 1408722/4997436 [00:08<00:20, 175994.03it/s]" ] }, { @@ -1194,7 +1194,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 776617/4997436 [00:08<00:45, 93037.78it/s]" + " 29%|██▊ | 1426392/4997436 [00:08<00:20, 176202.24it/s]" ] }, { @@ -1202,7 +1202,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 786092/4997436 [00:08<00:45, 93543.08it/s]" + " 29%|██▉ | 1444013/4997436 [00:08<00:20, 175832.14it/s]" ] }, { @@ -1210,7 +1210,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 795617/4997436 [00:08<00:44, 94048.66it/s]" + " 29%|██▉ | 1461599/4997436 [00:08<00:20, 175837.27it/s]" ] }, { @@ -1218,7 +1218,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 805415/4997436 [00:08<00:44, 95221.08it/s]" + " 30%|██▉ | 1479225/4997436 [00:08<00:19, 175961.07it/s]" ] }, { @@ -1226,7 +1226,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▋ | 815028/4997436 [00:08<00:43, 95488.59it/s]" + " 30%|██▉ | 1496845/4997436 [00:08<00:19, 176030.58it/s]" ] }, { @@ -1234,7 +1234,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 824583/4997436 [00:08<00:43, 95502.64it/s]" + " 30%|███ | 1514543/4997436 [00:08<00:19, 176311.98it/s]" ] }, { @@ -1242,7 +1242,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 834213/4997436 [00:08<00:43, 95737.46it/s]" + " 31%|███ | 1532175/4997436 [00:08<00:19, 176073.01it/s]" ] }, { @@ -1250,7 +1250,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 843788/4997436 [00:09<00:43, 95082.60it/s]" + " 31%|███ | 1549786/4997436 [00:08<00:19, 176081.12it/s]" ] }, { @@ -1258,7 +1258,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 853318/4997436 [00:09<00:43, 95144.37it/s]" + " 31%|███▏ | 1567395/4997436 [00:09<00:19, 176049.87it/s]" ] }, { @@ -1266,7 +1266,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 862915/4997436 [00:09<00:43, 95387.60it/s]" + " 32%|███▏ | 1585001/4997436 [00:09<00:19, 175920.31it/s]" ] }, { @@ -1274,7 +1274,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 872455/4997436 [00:09<00:44, 93711.54it/s]" + " 32%|███▏ | 1602594/4997436 [00:09<00:19, 175701.32it/s]" ] }, { @@ -1282,7 +1282,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 881833/4997436 [00:09<00:44, 93256.19it/s]" + " 32%|███▏ | 1620165/4997436 [00:09<00:19, 175208.27it/s]" ] }, { @@ -1290,7 +1290,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 891164/4997436 [00:09<00:44, 91816.53it/s]" + " 33%|███▎ | 1637773/4997436 [00:09<00:19, 175467.02it/s]" ] }, { @@ -1298,7 +1298,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 900595/4997436 [00:09<00:44, 92541.25it/s]" + " 33%|███▎ | 1655320/4997436 [00:09<00:19, 175440.17it/s]" ] }, { @@ -1306,7 +1306,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 910514/4997436 [00:09<00:43, 94503.23it/s]" + " 33%|███▎ | 1673093/4997436 [00:09<00:18, 176121.76it/s]" ] }, { @@ -1314,7 +1314,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 920756/4997436 [00:09<00:42, 96850.08it/s]" + " 34%|███▍ | 1690900/4997436 [00:09<00:18, 176703.20it/s]" ] }, { @@ -1322,7 +1322,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▊ | 930486/4997436 [00:09<00:41, 96980.53it/s]" + " 34%|███▍ | 1708584/4997436 [00:09<00:18, 176739.96it/s]" ] }, { @@ -1330,7 +1330,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 940426/4997436 [00:10<00:41, 97698.96it/s]" + " 35%|███▍ | 1726287/4997436 [00:09<00:18, 176825.45it/s]" ] }, { @@ -1338,7 +1338,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 950200/4997436 [00:10<00:41, 97461.55it/s]" + " 35%|███▍ | 1743970/4997436 [00:10<00:18, 176731.47it/s]" ] }, { @@ -1346,7 +1346,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 959950/4997436 [00:10<00:41, 96876.34it/s]" + " 35%|███▌ | 1761664/4997436 [00:10<00:18, 176791.76it/s]" ] }, { @@ -1354,7 +1354,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 969641/4997436 [00:10<00:41, 96125.24it/s]" + " 36%|███▌ | 1779354/4997436 [00:10<00:18, 176820.48it/s]" ] }, { @@ -1362,7 +1362,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 979257/4997436 [00:10<00:42, 95310.50it/s]" + " 36%|███▌ | 1797037/4997436 [00:10<00:18, 176587.78it/s]" ] }, { @@ -1370,7 +1370,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 988791/4997436 [00:10<00:42, 93924.27it/s]" + " 36%|███▋ | 1814703/4997436 [00:10<00:18, 176606.95it/s]" ] }, { @@ -1378,7 +1378,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 998237/4997436 [00:10<00:42, 94076.97it/s]" + " 37%|███▋ | 1832364/4997436 [00:10<00:17, 176464.15it/s]" ] }, { @@ -1386,7 +1386,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1007649/4997436 [00:10<00:42, 94064.19it/s]" + " 37%|███▋ | 1850080/4997436 [00:10<00:17, 176670.69it/s]" ] }, { @@ -1394,7 +1394,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1017104/4997436 [00:10<00:42, 94204.90it/s]" + " 37%|███▋ | 1867748/4997436 [00:10<00:17, 176482.45it/s]" ] }, { @@ -1402,7 +1402,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1026683/4997436 [00:10<00:41, 94674.83it/s]" + " 38%|███▊ | 1885397/4997436 [00:10<00:17, 176285.68it/s]" ] }, { @@ -1410,7 +1410,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1036153/4997436 [00:11<00:42, 93813.18it/s]" + " 38%|███▊ | 1903077/4997436 [00:10<00:17, 176437.75it/s]" ] }, { @@ -1418,7 +1418,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1045582/4997436 [00:11<00:42, 93950.64it/s]" + " 38%|███▊ | 1920721/4997436 [00:11<00:17, 176204.46it/s]" ] }, { @@ -1426,7 +1426,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1054979/4997436 [00:11<00:42, 93461.49it/s]" + " 39%|███▉ | 1938342/4997436 [00:11<00:17, 176139.39it/s]" ] }, { @@ -1434,7 +1434,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██▏ | 1064927/4997436 [00:11<00:41, 95247.67it/s]" + " 39%|███▉ | 1956042/4997436 [00:11<00:17, 176395.85it/s]" ] }, { @@ -1442,7 +1442,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1074620/4997436 [00:11<00:40, 95746.89it/s]" + " 39%|███▉ | 1973719/4997436 [00:11<00:17, 176506.39it/s]" ] }, { @@ -1450,7 +1450,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1084197/4997436 [00:11<00:40, 95581.93it/s]" + " 40%|███▉ | 1991414/4997436 [00:11<00:17, 176637.28it/s]" ] }, { @@ -1458,7 +1458,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1093757/4997436 [00:11<00:40, 95516.54it/s]" + " 40%|████ | 2009078/4997436 [00:11<00:16, 176465.69it/s]" ] }, { @@ -1466,7 +1466,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1103310/4997436 [00:11<00:40, 95011.94it/s]" + " 41%|████ | 2026735/4997436 [00:11<00:16, 176493.47it/s]" ] }, { @@ -1474,7 +1474,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1112813/4997436 [00:11<00:41, 92704.01it/s]" + " 41%|████ | 2044385/4997436 [00:11<00:16, 176271.86it/s]" ] }, { @@ -1482,7 +1482,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1122334/4997436 [00:11<00:41, 93437.15it/s]" + " 41%|████▏ | 2062013/4997436 [00:11<00:16, 176201.48it/s]" ] }, { @@ -1490,7 +1490,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1131902/4997436 [00:12<00:41, 94096.07it/s]" + " 42%|████▏ | 2079634/4997436 [00:11<00:16, 176082.70it/s]" ] }, { @@ -1498,7 +1498,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1141785/4997436 [00:12<00:40, 95497.21it/s]" + " 42%|████▏ | 2097262/4997436 [00:12<00:16, 176140.35it/s]" ] }, { @@ -1506,7 +1506,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1151342/4997436 [00:12<00:40, 94873.11it/s]" + " 42%|████▏ | 2114888/4997436 [00:12<00:16, 176172.74it/s]" ] }, { @@ -1514,7 +1514,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1160835/4997436 [00:12<00:41, 91622.58it/s]" + " 43%|████▎ | 2132506/4997436 [00:12<00:16, 175695.12it/s]" ] }, { @@ -1522,7 +1522,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1170023/4997436 [00:12<00:42, 89779.58it/s]" + " 43%|████▎ | 2150076/4997436 [00:12<00:16, 175462.51it/s]" ] }, { @@ -1530,7 +1530,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▎ | 1179022/4997436 [00:12<00:43, 87711.22it/s]" + " 43%|████▎ | 2167623/4997436 [00:12<00:16, 175297.73it/s]" ] }, { @@ -1538,7 +1538,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1188026/4997436 [00:12<00:43, 88375.60it/s]" + " 44%|████▎ | 2185153/4997436 [00:12<00:16, 173533.40it/s]" ] }, { @@ -1546,7 +1546,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1197258/4997436 [00:12<00:42, 89519.12it/s]" + " 44%|████▍ | 2202705/4997436 [00:12<00:16, 174122.58it/s]" ] }, { @@ -1554,7 +1554,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1206623/4997436 [00:12<00:41, 90727.52it/s]" + " 44%|████▍ | 2220230/4997436 [00:12<00:15, 174456.53it/s]" ] }, { @@ -1562,7 +1562,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1215835/4997436 [00:12<00:41, 91136.38it/s]" + " 45%|████▍ | 2237764/4997436 [00:12<00:15, 174718.35it/s]" ] }, { @@ -1570,7 +1570,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1225094/4997436 [00:13<00:41, 91563.46it/s]" + " 45%|████▌ | 2255238/4997436 [00:12<00:15, 174589.67it/s]" ] }, { @@ -1578,7 +1578,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1234258/4997436 [00:13<00:41, 91555.86it/s]" + " 45%|████▌ | 2272750/4997436 [00:13<00:15, 174745.28it/s]" ] }, { @@ -1586,7 +1586,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1243419/4997436 [00:13<00:41, 90723.08it/s]" + " 46%|████▌ | 2290339/4997436 [00:13<00:15, 175085.10it/s]" ] }, { @@ -1594,7 +1594,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1252780/4997436 [00:13<00:40, 91577.71it/s]" + " 46%|████▌ | 2307894/4997436 [00:13<00:15, 175222.43it/s]" ] }, { @@ -1602,7 +1602,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1262043/4997436 [00:13<00:40, 91886.82it/s]" + " 47%|████▋ | 2325417/4997436 [00:13<00:15, 175072.62it/s]" ] }, { @@ -1610,7 +1610,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1271235/4997436 [00:13<00:40, 91622.14it/s]" + " 47%|████▋ | 2343150/4997436 [00:13<00:15, 175747.77it/s]" ] }, { @@ -1618,7 +1618,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1280410/4997436 [00:13<00:40, 91656.98it/s]" + " 47%|████▋ | 2360805/4997436 [00:13<00:14, 175986.01it/s]" ] }, { @@ -1626,7 +1626,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1289578/4997436 [00:13<00:40, 90857.47it/s]" + " 48%|████▊ | 2378415/4997436 [00:13<00:14, 176017.59it/s]" ] }, { @@ -1634,7 +1634,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1298667/4997436 [00:13<00:41, 90143.22it/s]" + " 48%|████▊ | 2396017/4997436 [00:13<00:14, 175863.34it/s]" ] }, { @@ -1642,7 +1642,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1308067/4997436 [00:13<00:40, 91284.16it/s]" + " 48%|████▊ | 2413604/4997436 [00:13<00:14, 175411.51it/s]" ] }, { @@ -1650,7 +1650,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▋ | 1317642/4997436 [00:14<00:39, 92609.59it/s]" + " 49%|████▊ | 2431146/4997436 [00:13<00:14, 175200.46it/s]" ] }, { @@ -1658,7 +1658,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1327247/4997436 [00:14<00:39, 93631.66it/s]" + " 49%|████▉ | 2448694/4997436 [00:14<00:14, 175280.41it/s]" ] }, { @@ -1666,7 +1666,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1336883/4997436 [00:14<00:38, 94443.63it/s]" + " 49%|████▉ | 2466223/4997436 [00:14<00:14, 175163.40it/s]" ] }, { @@ -1674,7 +1674,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1346587/4997436 [00:14<00:38, 95186.13it/s]" + " 50%|████▉ | 2483740/4997436 [00:14<00:14, 174977.65it/s]" ] }, { @@ -1682,7 +1682,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1356108/4997436 [00:14<00:38, 93568.43it/s]" + " 50%|█████ | 2501238/4997436 [00:14<00:14, 174897.75it/s]" ] }, { @@ -1690,7 +1690,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1365472/4997436 [00:14<00:39, 91671.36it/s]" + " 50%|█████ | 2518740/4997436 [00:14<00:14, 174932.91it/s]" ] }, { @@ -1698,7 +1698,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1374804/4997436 [00:14<00:39, 92151.63it/s]" + " 51%|█████ | 2536243/4997436 [00:14<00:14, 174960.80it/s]" ] }, { @@ -1706,7 +1706,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1384177/4997436 [00:14<00:39, 92573.82it/s]" + " 51%|█████ | 2553740/4997436 [00:14<00:13, 174935.61it/s]" ] }, { @@ -1714,7 +1714,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1393442/4997436 [00:14<00:39, 92070.68it/s]" + " 51%|█████▏ | 2571234/4997436 [00:14<00:13, 174763.47it/s]" ] }, { @@ -1722,7 +1722,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1403074/4997436 [00:15<00:38, 93301.38it/s]" + " 52%|█████▏ | 2588807/4997436 [00:14<00:13, 175048.63it/s]" ] }, { @@ -1730,7 +1730,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1412638/4997436 [00:15<00:38, 93993.80it/s]" + " 52%|█████▏ | 2606312/4997436 [00:14<00:13, 174083.68it/s]" ] }, { @@ -1738,7 +1738,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1422225/4997436 [00:15<00:37, 94549.01it/s]" + " 53%|█████▎ | 2623722/4997436 [00:15<00:13, 174080.30it/s]" ] }, { @@ -1746,7 +1746,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 1431923/4997436 [00:15<00:37, 95271.13it/s]" + " 53%|█████▎ | 2641131/4997436 [00:15<00:13, 173894.67it/s]" ] }, { @@ -1754,7 +1754,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1441687/4997436 [00:15<00:37, 95976.62it/s]" + " 53%|█████▎ | 2658522/4997436 [00:15<00:13, 173390.61it/s]" ] }, { @@ -1762,7 +1762,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1451287/4997436 [00:15<00:37, 95526.55it/s]" + " 54%|█████▎ | 2675962/4997436 [00:15<00:13, 173690.37it/s]" ] }, { @@ -1770,7 +1770,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1460859/4997436 [00:15<00:37, 95580.79it/s]" + " 54%|█████▍ | 2693332/4997436 [00:15<00:13, 173567.04it/s]" ] }, { @@ -1778,7 +1778,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1470419/4997436 [00:15<00:37, 94985.15it/s]" + " 54%|█████▍ | 2710690/4997436 [00:15<00:14, 154354.97it/s]" ] }, { @@ -1786,7 +1786,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1479920/4997436 [00:15<00:37, 94978.75it/s]" + " 55%|█████▍ | 2727237/4997436 [00:15<00:14, 157415.55it/s]" ] }, { @@ -1794,7 +1794,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1489850/4997436 [00:15<00:36, 96265.93it/s]" + " 55%|█████▍ | 2744650/4997436 [00:15<00:13, 162131.99it/s]" ] }, { @@ -1802,7 +1802,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1499900/4997436 [00:16<00:35, 97528.73it/s]" + " 55%|█████▌ | 2761967/4997436 [00:15<00:13, 165299.91it/s]" ] }, { @@ -1810,7 +1810,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1509655/4997436 [00:16<00:36, 96697.46it/s]" + " 56%|█████▌ | 2779223/4997436 [00:15<00:13, 167409.80it/s]" ] }, { @@ -1818,7 +1818,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1519741/4997436 [00:16<00:35, 97928.74it/s]" + " 56%|█████▌ | 2796297/4997436 [00:16<00:13, 168383.69it/s]" ] }, { @@ -1826,7 +1826,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1529537/4997436 [00:16<00:35, 96901.94it/s]" + " 56%|█████▋ | 2813588/4997436 [00:16<00:12, 169719.61it/s]" ] }, { @@ -1834,7 +1834,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1539610/4997436 [00:16<00:35, 98034.62it/s]" + " 57%|█████▋ | 2830909/4997436 [00:16<00:12, 170752.36it/s]" ] }, { @@ -1842,7 +1842,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1549418/4997436 [00:16<00:35, 97876.75it/s]" + " 57%|█████▋ | 2848236/4997436 [00:16<00:12, 171498.76it/s]" ] }, { @@ -1850,7 +1850,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1559229/4997436 [00:16<00:35, 97942.80it/s]" + " 57%|█████▋ | 2865562/4997436 [00:16<00:12, 172021.89it/s]" ] }, { @@ -1858,7 +1858,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███▏ | 1569026/4997436 [00:16<00:35, 97616.51it/s]" + " 58%|█████▊ | 2882790/4997436 [00:16<00:12, 169463.52it/s]" ] }, { @@ -1866,7 +1866,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1578790/4997436 [00:16<00:35, 95548.04it/s]" + " 58%|█████▊ | 2900192/4997436 [00:16<00:12, 170808.48it/s]" ] }, { @@ -1874,7 +1874,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1588355/4997436 [00:16<00:35, 95460.25it/s]" + " 58%|█████▊ | 2917509/4997436 [00:16<00:12, 171507.92it/s]" ] }, { @@ -1882,7 +1882,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1597908/4997436 [00:17<00:36, 93963.19it/s]" + " 59%|█████▊ | 2934736/4997436 [00:16<00:12, 171731.55it/s]" ] }, { @@ -1890,7 +1890,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1607313/4997436 [00:17<00:36, 93401.06it/s]" + " 59%|█████▉ | 2951966/4997436 [00:16<00:11, 171898.29it/s]" ] }, { @@ -1898,7 +1898,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1616659/4997436 [00:17<00:36, 93281.07it/s]" + " 59%|█████▉ | 2969307/4997436 [00:17<00:11, 172348.65it/s]" ] }, { @@ -1906,7 +1906,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1626544/4997436 [00:17<00:35, 94919.84it/s]" + " 60%|█████▉ | 2986696/4997436 [00:17<00:11, 172806.10it/s]" ] }, { @@ -1914,7 +1914,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1636399/4997436 [00:17<00:35, 95995.41it/s]" + " 60%|██████ | 3003981/4997436 [00:17<00:11, 172744.18it/s]" ] }, { @@ -1922,7 +1922,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1646273/4997436 [00:17<00:34, 96809.28it/s]" + " 60%|██████ | 3021345/4997436 [00:17<00:11, 173010.61it/s]" ] }, { @@ -1930,7 +1930,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1656092/4997436 [00:17<00:34, 97216.57it/s]" + " 61%|██████ | 3038721/4997436 [00:17<00:11, 173231.29it/s]" ] }, { @@ -1938,7 +1938,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1665898/4997436 [00:17<00:34, 97465.45it/s]" + " 61%|██████ | 3056046/4997436 [00:17<00:11, 173203.89it/s]" ] }, { @@ -1946,7 +1946,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▎ | 1675649/4997436 [00:17<00:34, 97476.09it/s]" + " 61%|██████▏ | 3073414/4997436 [00:17<00:11, 173344.08it/s]" ] }, { @@ -1954,7 +1954,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▎ | 1685399/4997436 [00:17<00:34, 96724.34it/s]" + " 62%|██████▏ | 3090771/4997436 [00:17<00:10, 173409.52it/s]" ] }, { @@ -1962,7 +1962,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1695090/4997436 [00:18<00:34, 96776.32it/s]" + " 62%|██████▏ | 3108113/4997436 [00:17<00:11, 168324.46it/s]" ] }, { @@ -1970,7 +1970,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1704770/4997436 [00:18<00:34, 96663.96it/s]" + " 63%|██████▎ | 3125016/4997436 [00:18<00:11, 168529.37it/s]" ] }, { @@ -1978,7 +1978,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1714511/4997436 [00:18<00:33, 96883.28it/s]" + " 63%|██████▎ | 3142341/4997436 [00:18<00:10, 169921.70it/s]" ] }, { @@ -1986,7 +1986,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1724336/4997436 [00:18<00:33, 97285.65it/s]" + " 63%|██████▎ | 3159703/4997436 [00:18<00:10, 171017.41it/s]" ] }, { @@ -1994,7 +1994,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1734066/4997436 [00:18<00:34, 95297.20it/s]" + " 64%|██████▎ | 3177078/4997436 [00:18<00:10, 171827.46it/s]" ] }, { @@ -2002,7 +2002,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1743605/4997436 [00:18<00:34, 94602.00it/s]" + " 64%|██████▍ | 3194444/4997436 [00:18<00:10, 172370.64it/s]" ] }, { @@ -2010,7 +2010,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1753295/4997436 [00:18<00:34, 95277.53it/s]" + " 64%|██████▍ | 3211801/4997436 [00:18<00:10, 172725.63it/s]" ] }, { @@ -2018,7 +2018,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1762943/4997436 [00:18<00:33, 95631.27it/s]" + " 65%|██████▍ | 3229190/4997436 [00:18<00:10, 173072.49it/s]" ] }, { @@ -2026,7 +2026,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1772511/4997436 [00:18<00:33, 94916.96it/s]" + " 65%|██████▍ | 3246591/4997436 [00:18<00:10, 173351.31it/s]" ] }, { @@ -2034,7 +2034,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1782007/4997436 [00:18<00:34, 94190.95it/s]" + " 65%|██████▌ | 3263949/4997436 [00:18<00:09, 173417.03it/s]" ] }, { @@ -2042,7 +2042,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1791436/4997436 [00:19<00:34, 94217.64it/s]" + " 66%|██████▌ | 3281334/4997436 [00:18<00:09, 173543.51it/s]" ] }, { @@ -2050,7 +2050,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1800931/4997436 [00:19<00:33, 94431.65it/s]" + " 66%|██████▌ | 3298701/4997436 [00:19<00:09, 173579.12it/s]" ] }, { @@ -2058,7 +2058,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1810461/4997436 [00:19<00:33, 94686.10it/s]" + " 66%|██████▋ | 3316060/4997436 [00:19<00:09, 173258.64it/s]" ] }, { @@ -2066,7 +2066,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▋ | 1820293/4997436 [00:19<00:33, 95767.16it/s]" + " 67%|██████▋ | 3333425/4997436 [00:19<00:09, 173374.67it/s]" ] }, { @@ -2074,7 +2074,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1829929/4997436 [00:19<00:33, 95939.87it/s]" + " 67%|██████▋ | 3350764/4997436 [00:19<00:09, 173260.11it/s]" ] }, { @@ -2082,7 +2082,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1839525/4997436 [00:19<00:33, 94548.44it/s]" + " 67%|██████▋ | 3368166/4997436 [00:19<00:09, 173485.48it/s]" ] }, { @@ -2090,7 +2090,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1849240/4997436 [00:19<00:33, 95315.64it/s]" + " 68%|██████▊ | 3385525/4997436 [00:19<00:09, 173513.14it/s]" ] }, { @@ -2098,7 +2098,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1858884/4997436 [00:19<00:32, 95645.40it/s]" + " 68%|██████▊ | 3402877/4997436 [00:19<00:09, 173300.45it/s]" ] }, { @@ -2106,7 +2106,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1868452/4997436 [00:19<00:33, 93853.75it/s]" + " 68%|██████▊ | 3420208/4997436 [00:19<00:09, 173234.68it/s]" ] }, { @@ -2114,7 +2114,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1877939/4997436 [00:19<00:33, 94135.76it/s]" + " 69%|██████▉ | 3437532/4997436 [00:19<00:09, 173228.65it/s]" ] }, { @@ -2122,7 +2122,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1887360/4997436 [00:20<00:33, 92375.70it/s]" + " 69%|██████▉ | 3454882/4997436 [00:19<00:08, 173306.07it/s]" ] }, { @@ -2130,7 +2130,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1896608/4997436 [00:20<00:35, 88410.75it/s]" + " 69%|██████▉ | 3472213/4997436 [00:20<00:09, 166460.65it/s]" ] }, { @@ -2138,7 +2138,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1905790/4997436 [00:20<00:34, 89382.45it/s]" + " 70%|██████▉ | 3489491/4997436 [00:20<00:08, 168299.47it/s]" ] }, { @@ -2146,7 +2146,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1915201/4997436 [00:20<00:33, 90751.60it/s]" + " 70%|███████ | 3506830/4997436 [00:20<00:08, 169793.76it/s]" ] }, { @@ -2154,7 +2154,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▊ | 1924571/4997436 [00:20<00:33, 91611.99it/s]" + " 71%|███████ | 3524180/4997436 [00:20<00:08, 170887.42it/s]" ] }, { @@ -2162,7 +2162,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▊ | 1933867/4997436 [00:20<00:33, 92006.99it/s]" + " 71%|███████ | 3541534/4997436 [00:20<00:08, 171674.35it/s]" ] }, { @@ -2170,7 +2170,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1943083/4997436 [00:20<00:33, 91586.72it/s]" + " 71%|███████ | 3558960/4997436 [00:20<00:08, 172442.22it/s]" ] }, { @@ -2178,7 +2178,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1952348/4997436 [00:20<00:33, 91861.51it/s]" + " 72%|███████▏ | 3576383/4997436 [00:20<00:08, 172974.49it/s]" ] }, { @@ -2186,7 +2186,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1961884/4997436 [00:20<00:32, 92894.58it/s]" + " 72%|███████▏ | 3593814/4997436 [00:20<00:08, 173369.85it/s]" ] }, { @@ -2194,7 +2194,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1971436/4997436 [00:20<00:32, 93674.12it/s]" + " 72%|███████▏ | 3611224/4997436 [00:20<00:07, 173587.30it/s]" ] }, { @@ -2202,7 +2202,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1980809/4997436 [00:21<00:32, 91876.51it/s]" + " 73%|███████▎ | 3628635/4997436 [00:20<00:07, 173741.16it/s]" ] }, { @@ -2210,7 +2210,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1990008/4997436 [00:21<00:33, 91067.98it/s]" + " 73%|███████▎ | 3646013/4997436 [00:21<00:08, 166951.89it/s]" ] }, { @@ -2218,7 +2218,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 1999391/4997436 [00:21<00:32, 91877.40it/s]" + " 73%|███████▎ | 3663388/4997436 [00:21<00:07, 168929.96it/s]" ] }, { @@ -2226,7 +2226,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2008929/4997436 [00:21<00:32, 92910.17it/s]" + " 74%|███████▎ | 3680864/4997436 [00:21<00:07, 170640.98it/s]" ] }, { @@ -2234,7 +2234,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2018447/4997436 [00:21<00:31, 93582.38it/s]" + " 74%|███████▍ | 3698281/4997436 [00:21<00:07, 171681.41it/s]" ] }, { @@ -2242,7 +2242,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2027898/4997436 [00:21<00:31, 93855.06it/s]" + " 74%|███████▍ | 3715743/4997436 [00:21<00:07, 172550.43it/s]" ] }, { @@ -2250,7 +2250,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2037447/4997436 [00:21<00:31, 94339.89it/s]" + " 75%|███████▍ | 3733177/4997436 [00:21<00:07, 173080.99it/s]" ] }, { @@ -2258,7 +2258,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2046962/4997436 [00:21<00:31, 94579.28it/s]" + " 75%|███████▌ | 3750586/4997436 [00:21<00:07, 173379.77it/s]" ] }, { @@ -2266,7 +2266,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2056463/4997436 [00:21<00:31, 94704.79it/s]" + " 75%|███████▌ | 3767988/4997436 [00:21<00:07, 173569.12it/s]" ] }, { @@ -2274,7 +2274,7 @@ "output_type": "stream", "text": [ "\r", - 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" 42%|████▏ | 2122223/4997436 [00:22<00:31, 91157.18it/s]" + " 78%|███████▊ | 3890088/4997436 [00:22<00:06, 173810.48it/s]" ] }, { @@ -2330,7 +2330,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2131448/4997436 [00:22<00:31, 91475.73it/s]" + " 78%|███████▊ | 3907470/4997436 [00:22<00:06, 173597.21it/s]" ] }, { @@ -2338,7 +2338,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2141012/4997436 [00:22<00:30, 92706.76it/s]" + " 79%|███████▊ | 3924836/4997436 [00:22<00:06, 173614.94it/s]" ] }, { @@ -2346,7 +2346,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2150439/4997436 [00:22<00:30, 93167.25it/s]" + " 79%|███████▉ | 3942215/4997436 [00:22<00:06, 173664.46it/s]" ] }, { @@ -2354,7 +2354,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2159761/4997436 [00:23<00:30, 91893.33it/s]" + " 79%|███████▉ | 3959582/4997436 [00:22<00:05, 173614.93it/s]" ] }, { @@ -2362,7 +2362,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2169077/4997436 [00:23<00:30, 92263.82it/s]" + " 80%|███████▉ | 3976944/4997436 [00:22<00:05, 173514.71it/s]" ] }, { @@ -2370,7 +2370,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▎ | 2178607/4997436 [00:23<00:30, 93162.60it/s]" + " 80%|███████▉ | 3994296/4997436 [00:23<00:05, 169785.32it/s]" ] }, { @@ -2378,7 +2378,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2188133/4997436 [00:23<00:29, 93783.13it/s]" + " 80%|████████ | 4011766/4997436 [00:23<00:05, 171234.42it/s]" ] }, { @@ -2386,7 +2386,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2197515/4997436 [00:23<00:29, 93503.39it/s]" + " 81%|████████ | 4029378/4997436 [00:23<00:05, 172681.06it/s]" ] }, { @@ -2394,7 +2394,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2206868/4997436 [00:23<00:29, 93224.17it/s]" + " 81%|████████ | 4046982/4997436 [00:23<00:05, 173677.05it/s]" ] }, { @@ -2402,7 +2402,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2216266/4997436 [00:23<00:29, 93445.92it/s]" + " 81%|████████▏ | 4064596/4997436 [00:23<00:05, 174408.91it/s]" ] }, { @@ -2410,7 +2410,7 @@ "output_type": "stream", "text": [ "\r", - " 45%|████▍ | 2225612/4997436 [00:23<00:29, 92537.56it/s]" + " 82%|████████▏ | 4082212/4997436 [00:23<00:05, 174928.13it/s]" ] }, { @@ -2418,7 +2418,7 @@ "output_type": "stream", "text": [ "\r", - 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" 46%|████▌ | 2290901/4997436 [00:24<00:29, 92739.51it/s]" + " 84%|████████▍ | 4205251/4997436 [00:24<00:04, 175313.88it/s]" ] }, { @@ -2474,7 +2474,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▌ | 2300293/4997436 [00:24<00:28, 93087.84it/s]" + " 84%|████████▍ | 4222783/4997436 [00:24<00:04, 175284.97it/s]" ] }, { @@ -2482,7 +2482,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▌ | 2309603/4997436 [00:24<00:29, 92346.99it/s]" + " 85%|████████▍ | 4240396/4997436 [00:24<00:04, 175535.22it/s]" ] }, { @@ -2490,7 +2490,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▋ | 2319018/4997436 [00:24<00:28, 92880.83it/s]" + " 85%|████████▌ | 4258015/4997436 [00:24<00:04, 175728.02it/s]" ] }, { @@ -2498,7 +2498,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2328308/4997436 [00:24<00:28, 92854.55it/s]" + " 86%|████████▌ | 4275678/4997436 [00:24<00:04, 175994.86it/s]" ] }, { @@ -2506,7 +2506,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2337595/4997436 [00:24<00:28, 92059.18it/s]" + " 86%|████████▌ | 4293425/4997436 [00:24<00:03, 176435.62it/s]" ] }, { @@ -2514,7 +2514,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2346804/4997436 [00:25<00:29, 89424.72it/s]" + " 86%|████████▋ | 4311165/4997436 [00:24<00:03, 176721.61it/s]" ] }, { @@ -2522,7 +2522,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2355808/4997436 [00:25<00:29, 89599.58it/s]" + " 87%|████████▋ | 4328909/4997436 [00:24<00:03, 176933.08it/s]" ] }, { @@ -2530,7 +2530,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2365193/4997436 [00:25<00:28, 90847.24it/s]" + " 87%|████████▋ | 4346679/4997436 [00:25<00:03, 177159.49it/s]" ] }, { @@ -2538,7 +2538,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2374709/4997436 [00:25<00:28, 92108.22it/s]" + " 87%|████████▋ | 4364396/4997436 [00:25<00:03, 176849.67it/s]" ] }, { @@ -2546,7 +2546,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2384132/4997436 [00:25<00:28, 92736.10it/s]" + " 88%|████████▊ | 4382082/4997436 [00:25<00:03, 176724.05it/s]" ] }, { @@ -2554,7 +2554,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2393613/4997436 [00:25<00:27, 93351.40it/s]" + " 88%|████████▊ | 4399823/4997436 [00:25<00:03, 176926.94it/s]" ] }, { @@ -2562,7 +2562,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2402954/4997436 [00:25<00:28, 91830.23it/s]" + " 88%|████████▊ | 4417516/4997436 [00:25<00:03, 176911.60it/s]" ] }, { @@ -2570,7 +2570,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2412485/4997436 [00:25<00:27, 92854.97it/s]" + " 89%|████████▊ | 4435208/4997436 [00:25<00:03, 176887.24it/s]" ] }, { @@ -2578,7 +2578,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2421779/4997436 [00:25<00:28, 90933.59it/s]" + " 89%|████████▉ | 4452924/4997436 [00:25<00:03, 176965.90it/s]" ] }, { @@ -2586,7 +2586,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▊ | 2431030/4997436 [00:25<00:28, 91392.85it/s]" + " 89%|████████▉ | 4470651/4997436 [00:25<00:02, 177053.85it/s]" ] }, { @@ -2594,7 +2594,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 2440572/4997436 [00:26<00:27, 92579.42it/s]" + " 90%|████████▉ | 4488406/4997436 [00:25<00:02, 177200.29it/s]" ] }, { @@ -2602,7 +2602,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 2450126/4997436 [00:26<00:27, 93453.12it/s]" + " 90%|█████████ | 4506186/4997436 [00:25<00:02, 177377.80it/s]" ] }, { @@ -2610,7 +2610,7 @@ "output_type": "stream", "text": [ "\r", - 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"model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_6e24c07364bd4b17948143439fc58f57", - "IPY_MODEL_fbade7b119ea4248afefe80635667e1f", - "IPY_MODEL_4c8bc77d820d4282854741bee154e1c0" - ], - "layout": "IPY_MODEL_a9e3d0bbd92240e0a56f5496440fcaf5" - } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/tabular.ipynb index 8d0fd6c82..217257915 100644 --- a/master/.doctrees/nbsphinx/tutorials/tabular.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/tabular.ipynb @@ -112,10 +112,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:52.403751Z", - "iopub.status.busy": "2023-11-02T15:24:52.403144Z", - "iopub.status.idle": "2023-11-02T15:24:55.321093Z", - "shell.execute_reply": "2023-11-02T15:24:55.319992Z" + "iopub.execute_input": "2023-11-04T09:26:14.227663Z", + "iopub.status.busy": "2023-11-04T09:26:14.227182Z", + "iopub.status.idle": "2023-11-04T09:26:15.212316Z", + "shell.execute_reply": "2023-11-04T09:26:15.211713Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -150,10 +150,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.325899Z", - "iopub.status.busy": "2023-11-02T15:24:55.325031Z", - "iopub.status.idle": "2023-11-02T15:24:55.407331Z", - "shell.execute_reply": "2023-11-02T15:24:55.406275Z" + "iopub.execute_input": "2023-11-04T09:26:15.215403Z", + "iopub.status.busy": "2023-11-04T09:26:15.214916Z", + "iopub.status.idle": "2023-11-04T09:26:15.235839Z", + "shell.execute_reply": "2023-11-04T09:26:15.235339Z" } }, "outputs": [], @@ -194,10 +194,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.412458Z", - "iopub.status.busy": "2023-11-02T15:24:55.411745Z", - "iopub.status.idle": "2023-11-02T15:24:55.541363Z", - "shell.execute_reply": "2023-11-02T15:24:55.540273Z" + "iopub.execute_input": "2023-11-04T09:26:15.238481Z", + "iopub.status.busy": "2023-11-04T09:26:15.238110Z", + "iopub.status.idle": "2023-11-04T09:26:15.329845Z", + "shell.execute_reply": "2023-11-04T09:26:15.329270Z" } }, "outputs": [ @@ -304,10 +304,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.549193Z", - "iopub.status.busy": "2023-11-02T15:24:55.548764Z", - "iopub.status.idle": "2023-11-02T15:24:55.560020Z", - "shell.execute_reply": "2023-11-02T15:24:55.558764Z" + "iopub.execute_input": "2023-11-04T09:26:15.332128Z", + "iopub.status.busy": "2023-11-04T09:26:15.331785Z", + "iopub.status.idle": "2023-11-04T09:26:15.335399Z", + "shell.execute_reply": "2023-11-04T09:26:15.334801Z" } }, "outputs": [], @@ -328,10 +328,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.565875Z", - "iopub.status.busy": "2023-11-02T15:24:55.565072Z", - "iopub.status.idle": "2023-11-02T15:24:55.582451Z", - "shell.execute_reply": "2023-11-02T15:24:55.580752Z" + "iopub.execute_input": "2023-11-04T09:26:15.337668Z", + "iopub.status.busy": "2023-11-04T09:26:15.337318Z", + "iopub.status.idle": "2023-11-04T09:26:15.346344Z", + "shell.execute_reply": "2023-11-04T09:26:15.345860Z" } }, "outputs": [], @@ -383,10 +383,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.587578Z", - "iopub.status.busy": "2023-11-02T15:24:55.586640Z", - "iopub.status.idle": "2023-11-02T15:24:55.592536Z", - "shell.execute_reply": "2023-11-02T15:24:55.591525Z" + "iopub.execute_input": "2023-11-04T09:26:15.348716Z", + "iopub.status.busy": "2023-11-04T09:26:15.348343Z", + "iopub.status.idle": "2023-11-04T09:26:15.351129Z", + "shell.execute_reply": "2023-11-04T09:26:15.350613Z" } }, "outputs": [], @@ -408,10 +408,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.596771Z", - "iopub.status.busy": "2023-11-02T15:24:55.596446Z", - "iopub.status.idle": "2023-11-02T15:24:56.635869Z", - "shell.execute_reply": "2023-11-02T15:24:56.634620Z" + "iopub.execute_input": "2023-11-04T09:26:15.353527Z", + "iopub.status.busy": "2023-11-04T09:26:15.353192Z", + "iopub.status.idle": "2023-11-04T09:26:15.928677Z", + "shell.execute_reply": "2023-11-04T09:26:15.928049Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:56.640308Z", - "iopub.status.busy": "2023-11-02T15:24:56.640005Z", - "iopub.status.idle": "2023-11-02T15:25:00.989643Z", - "shell.execute_reply": "2023-11-02T15:25:00.988407Z" + "iopub.execute_input": "2023-11-04T09:26:15.931657Z", + "iopub.status.busy": "2023-11-04T09:26:15.931448Z", + "iopub.status.idle": "2023-11-04T09:26:17.146550Z", + "shell.execute_reply": "2023-11-04T09:26:17.145742Z" } }, "outputs": [ @@ -480,10 +480,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:00.995271Z", - "iopub.status.busy": "2023-11-02T15:25:00.994213Z", - "iopub.status.idle": "2023-11-02T15:25:01.012991Z", - "shell.execute_reply": "2023-11-02T15:25:01.012008Z" + "iopub.execute_input": "2023-11-04T09:26:17.149825Z", + "iopub.status.busy": "2023-11-04T09:26:17.149014Z", + "iopub.status.idle": "2023-11-04T09:26:17.159757Z", + "shell.execute_reply": "2023-11-04T09:26:17.159231Z" } }, "outputs": [ @@ -604,10 +604,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.016886Z", - "iopub.status.busy": "2023-11-02T15:25:01.016605Z", - "iopub.status.idle": "2023-11-02T15:25:01.024264Z", - "shell.execute_reply": "2023-11-02T15:25:01.023260Z" + "iopub.execute_input": "2023-11-04T09:26:17.162383Z", + "iopub.status.busy": "2023-11-04T09:26:17.162088Z", + "iopub.status.idle": "2023-11-04T09:26:17.166180Z", + "shell.execute_reply": "2023-11-04T09:26:17.165582Z" } }, "outputs": [], @@ -632,10 +632,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.027970Z", - "iopub.status.busy": "2023-11-02T15:25:01.027698Z", - "iopub.status.idle": "2023-11-02T15:25:01.039586Z", - "shell.execute_reply": "2023-11-02T15:25:01.038573Z" + "iopub.execute_input": "2023-11-04T09:26:17.168600Z", + "iopub.status.busy": "2023-11-04T09:26:17.168248Z", + "iopub.status.idle": "2023-11-04T09:26:17.175925Z", + "shell.execute_reply": "2023-11-04T09:26:17.175410Z" } }, "outputs": [], @@ -657,10 +657,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.043156Z", - "iopub.status.busy": "2023-11-02T15:25:01.042883Z", - "iopub.status.idle": "2023-11-02T15:25:01.253028Z", - "shell.execute_reply": "2023-11-02T15:25:01.251907Z" + "iopub.execute_input": "2023-11-04T09:26:17.178277Z", + "iopub.status.busy": "2023-11-04T09:26:17.177983Z", + "iopub.status.idle": "2023-11-04T09:26:17.299026Z", + "shell.execute_reply": "2023-11-04T09:26:17.298369Z" } }, "outputs": [ @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.257524Z", - "iopub.status.busy": "2023-11-02T15:25:01.257141Z", - "iopub.status.idle": "2023-11-02T15:25:01.266509Z", - "shell.execute_reply": "2023-11-02T15:25:01.265585Z" + "iopub.execute_input": "2023-11-04T09:26:17.301590Z", + "iopub.status.busy": "2023-11-04T09:26:17.301213Z", + "iopub.status.idle": "2023-11-04T09:26:17.304808Z", + "shell.execute_reply": "2023-11-04T09:26:17.304310Z" } }, "outputs": [], @@ -714,10 +714,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.270788Z", - "iopub.status.busy": "2023-11-02T15:25:01.270475Z", - "iopub.status.idle": "2023-11-02T15:25:04.624319Z", - "shell.execute_reply": "2023-11-02T15:25:04.622820Z" + "iopub.execute_input": "2023-11-04T09:26:17.307165Z", + "iopub.status.busy": "2023-11-04T09:26:17.306803Z", + "iopub.status.idle": "2023-11-04T09:26:18.717919Z", + "shell.execute_reply": "2023-11-04T09:26:18.717176Z" } }, "outputs": [], @@ -737,10 +737,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:04.629721Z", - "iopub.status.busy": "2023-11-02T15:25:04.629314Z", - "iopub.status.idle": "2023-11-02T15:25:04.654741Z", - "shell.execute_reply": "2023-11-02T15:25:04.653807Z" + "iopub.execute_input": "2023-11-04T09:26:18.721272Z", + "iopub.status.busy": "2023-11-04T09:26:18.720753Z", + "iopub.status.idle": "2023-11-04T09:26:18.734689Z", + "shell.execute_reply": "2023-11-04T09:26:18.734045Z" } }, "outputs": [ @@ -770,10 +770,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:04.661075Z", - "iopub.status.busy": "2023-11-02T15:25:04.659079Z", - "iopub.status.idle": "2023-11-02T15:25:04.772591Z", - "shell.execute_reply": "2023-11-02T15:25:04.770770Z" + "iopub.execute_input": "2023-11-04T09:26:18.737248Z", + "iopub.status.busy": "2023-11-04T09:26:18.736805Z", + "iopub.status.idle": "2023-11-04T09:26:18.805845Z", + "shell.execute_reply": "2023-11-04T09:26:18.805210Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/text.ipynb b/master/.doctrees/nbsphinx/tutorials/text.ipynb index b60eecfa6..54533810f 100644 --- a/master/.doctrees/nbsphinx/tutorials/text.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/text.ipynb @@ -114,10 +114,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:10.122653Z", - "iopub.status.busy": "2023-11-02T15:25:10.122329Z", - "iopub.status.idle": "2023-11-02T15:25:14.212505Z", - "shell.execute_reply": "2023-11-02T15:25:14.211471Z" + "iopub.execute_input": "2023-11-04T09:26:23.366362Z", + "iopub.status.busy": "2023-11-04T09:26:23.366167Z", + "iopub.status.idle": "2023-11-04T09:26:25.371985Z", + "shell.execute_reply": "2023-11-04T09:26:25.371363Z" }, "nbsphinx": "hidden" }, @@ -134,7 +134,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.217035Z", - "iopub.status.busy": "2023-11-02T15:25:14.216558Z", - "iopub.status.idle": "2023-11-02T15:25:14.223246Z", - "shell.execute_reply": "2023-11-02T15:25:14.222307Z" + "iopub.execute_input": "2023-11-04T09:26:25.374977Z", + "iopub.status.busy": "2023-11-04T09:26:25.374461Z", + "iopub.status.idle": "2023-11-04T09:26:25.378040Z", + "shell.execute_reply": "2023-11-04T09:26:25.377464Z" } }, "outputs": [], @@ -184,10 +184,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.226863Z", - "iopub.status.busy": "2023-11-02T15:25:14.226423Z", - "iopub.status.idle": "2023-11-02T15:25:14.231963Z", - "shell.execute_reply": "2023-11-02T15:25:14.230944Z" + "iopub.execute_input": "2023-11-04T09:26:25.380304Z", + "iopub.status.busy": "2023-11-04T09:26:25.379999Z", + "iopub.status.idle": "2023-11-04T09:26:25.383278Z", + "shell.execute_reply": "2023-11-04T09:26:25.382764Z" }, "nbsphinx": "hidden" }, @@ -218,10 +218,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.235928Z", - "iopub.status.busy": "2023-11-02T15:25:14.235211Z", - "iopub.status.idle": "2023-11-02T15:25:14.367541Z", - "shell.execute_reply": "2023-11-02T15:25:14.366488Z" + "iopub.execute_input": "2023-11-04T09:26:25.385578Z", + "iopub.status.busy": "2023-11-04T09:26:25.385225Z", + "iopub.status.idle": "2023-11-04T09:26:25.434736Z", + "shell.execute_reply": "2023-11-04T09:26:25.434198Z" } }, "outputs": [ @@ -311,10 +311,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.373440Z", - "iopub.status.busy": "2023-11-02T15:25:14.372430Z", - "iopub.status.idle": "2023-11-02T15:25:14.380670Z", - "shell.execute_reply": "2023-11-02T15:25:14.379719Z" + "iopub.execute_input": "2023-11-04T09:26:25.437036Z", + "iopub.status.busy": "2023-11-04T09:26:25.436740Z", + "iopub.status.idle": "2023-11-04T09:26:25.440303Z", + "shell.execute_reply": "2023-11-04T09:26:25.439763Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.384636Z", - "iopub.status.busy": "2023-11-02T15:25:14.384285Z", - "iopub.status.idle": "2023-11-02T15:25:14.390442Z", - "shell.execute_reply": "2023-11-02T15:25:14.389415Z" + "iopub.execute_input": "2023-11-04T09:26:25.442561Z", + "iopub.status.busy": "2023-11-04T09:26:25.442201Z", + "iopub.status.idle": "2023-11-04T09:26:25.445812Z", + "shell.execute_reply": "2023-11-04T09:26:25.445190Z" } }, "outputs": [ @@ -341,7 +341,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'lost_or_stolen_phone', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'change_pin'}\n" + "Classes: {'card_payment_fee_charged', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_about_to_expire'}\n" ] } ], @@ -364,10 +364,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.395218Z", - "iopub.status.busy": "2023-11-02T15:25:14.394920Z", - "iopub.status.idle": "2023-11-02T15:25:14.401331Z", - "shell.execute_reply": "2023-11-02T15:25:14.400418Z" + "iopub.execute_input": "2023-11-04T09:26:25.448243Z", + "iopub.status.busy": "2023-11-04T09:26:25.447884Z", + "iopub.status.idle": "2023-11-04T09:26:25.451250Z", + "shell.execute_reply": "2023-11-04T09:26:25.450634Z" } }, "outputs": [ @@ -408,10 +408,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.405772Z", - "iopub.status.busy": "2023-11-02T15:25:14.405475Z", - "iopub.status.idle": "2023-11-02T15:25:14.410857Z", - "shell.execute_reply": "2023-11-02T15:25:14.409911Z" + "iopub.execute_input": "2023-11-04T09:26:25.453673Z", + "iopub.status.busy": "2023-11-04T09:26:25.453305Z", + "iopub.status.idle": "2023-11-04T09:26:25.456638Z", + "shell.execute_reply": "2023-11-04T09:26:25.456093Z" } }, "outputs": [], @@ -452,10 +452,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.415091Z", - "iopub.status.busy": "2023-11-02T15:25:14.414778Z", - "iopub.status.idle": "2023-11-02T15:25:20.963319Z", - "shell.execute_reply": "2023-11-02T15:25:20.962309Z" + "iopub.execute_input": "2023-11-04T09:26:25.459171Z", + "iopub.status.busy": "2023-11-04T09:26:25.458778Z", + "iopub.status.idle": "2023-11-04T09:26:34.217993Z", + "shell.execute_reply": "2023-11-04T09:26:34.217281Z" } }, "outputs": [ @@ -502,10 +502,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.968574Z", - "iopub.status.busy": "2023-11-02T15:25:20.967937Z", - "iopub.status.idle": "2023-11-02T15:25:20.972144Z", - "shell.execute_reply": "2023-11-02T15:25:20.971221Z" + "iopub.execute_input": "2023-11-04T09:26:34.221388Z", + "iopub.status.busy": "2023-11-04T09:26:34.221154Z", + "iopub.status.idle": "2023-11-04T09:26:34.224277Z", + "shell.execute_reply": "2023-11-04T09:26:34.223638Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.976555Z", - "iopub.status.busy": "2023-11-02T15:25:20.975881Z", - "iopub.status.idle": "2023-11-02T15:25:20.980203Z", - "shell.execute_reply": "2023-11-02T15:25:20.979150Z" + "iopub.execute_input": "2023-11-04T09:26:34.226480Z", + "iopub.status.busy": "2023-11-04T09:26:34.226275Z", + "iopub.status.idle": "2023-11-04T09:26:34.229085Z", + "shell.execute_reply": "2023-11-04T09:26:34.228534Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.984525Z", - "iopub.status.busy": "2023-11-02T15:25:20.983587Z", - "iopub.status.idle": "2023-11-02T15:25:24.801367Z", - "shell.execute_reply": "2023-11-02T15:25:24.799760Z" + "iopub.execute_input": "2023-11-04T09:26:34.231350Z", + "iopub.status.busy": "2023-11-04T09:26:34.231149Z", + "iopub.status.idle": "2023-11-04T09:26:36.428283Z", + "shell.execute_reply": "2023-11-04T09:26:36.427568Z" }, "scrolled": true }, @@ -571,10 +571,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.808489Z", - "iopub.status.busy": "2023-11-02T15:25:24.806642Z", - "iopub.status.idle": "2023-11-02T15:25:24.821246Z", - "shell.execute_reply": "2023-11-02T15:25:24.819869Z" + "iopub.execute_input": "2023-11-04T09:26:36.432204Z", + "iopub.status.busy": "2023-11-04T09:26:36.431208Z", + "iopub.status.idle": "2023-11-04T09:26:36.439636Z", + "shell.execute_reply": "2023-11-04T09:26:36.439129Z" } }, "outputs": [ @@ -609,35 +609,35 @@ " \n", " 0\n", " False\n", - " 0.857900\n", + " 0.858050\n", " 6\n", " 6\n", " \n", " \n", " 1\n", " False\n", - " 0.545836\n", + " 0.545854\n", " 3\n", " 3\n", " \n", " \n", " 2\n", " False\n", - " 0.826185\n", + " 0.826194\n", " 7\n", " 7\n", " \n", " \n", " 3\n", " False\n", - " 0.965809\n", + " 0.965814\n", " 8\n", " 8\n", " \n", " \n", " 4\n", " False\n", - " 0.792077\n", + " 0.791923\n", " 4\n", " 4\n", " \n", @@ -647,11 +647,11 @@ ], "text/plain": [ " is_label_issue label_quality given_label predicted_label\n", - "0 False 0.857900 6 6\n", - "1 False 0.545836 3 3\n", - "2 False 0.826185 7 7\n", - "3 False 0.965809 8 8\n", - "4 False 0.792077 4 4" + "0 False 0.858050 6 6\n", + "1 False 0.545854 3 3\n", + "2 False 0.826194 7 7\n", + "3 False 0.965814 8 8\n", + "4 False 0.791923 4 4" ] }, "execution_count": 13, @@ -675,10 +675,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.825858Z", - "iopub.status.busy": "2023-11-02T15:25:24.825237Z", - "iopub.status.idle": "2023-11-02T15:25:24.833419Z", - "shell.execute_reply": "2023-11-02T15:25:24.832299Z" + "iopub.execute_input": "2023-11-04T09:26:36.442055Z", + "iopub.status.busy": "2023-11-04T09:26:36.441746Z", + "iopub.status.idle": "2023-11-04T09:26:36.446028Z", + "shell.execute_reply": "2023-11-04T09:26:36.445374Z" } }, "outputs": [], @@ -692,10 +692,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.837715Z", - "iopub.status.busy": "2023-11-02T15:25:24.837120Z", - "iopub.status.idle": "2023-11-02T15:25:24.842301Z", - "shell.execute_reply": "2023-11-02T15:25:24.841421Z" + "iopub.execute_input": "2023-11-04T09:26:36.448403Z", + "iopub.status.busy": "2023-11-04T09:26:36.447922Z", + "iopub.status.idle": "2023-11-04T09:26:36.451565Z", + "shell.execute_reply": "2023-11-04T09:26:36.450960Z" } }, "outputs": [ @@ -730,10 +730,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.846365Z", - "iopub.status.busy": "2023-11-02T15:25:24.845780Z", - "iopub.status.idle": "2023-11-02T15:25:24.850942Z", - "shell.execute_reply": "2023-11-02T15:25:24.849598Z" + "iopub.execute_input": "2023-11-04T09:26:36.454005Z", + "iopub.status.busy": "2023-11-04T09:26:36.453511Z", + "iopub.status.idle": "2023-11-04T09:26:36.456848Z", + "shell.execute_reply": "2023-11-04T09:26:36.456229Z" } }, "outputs": [], @@ -753,10 +753,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.855071Z", - "iopub.status.busy": "2023-11-02T15:25:24.854741Z", - "iopub.status.idle": "2023-11-02T15:25:24.867911Z", - "shell.execute_reply": "2023-11-02T15:25:24.866749Z" + "iopub.execute_input": "2023-11-04T09:26:36.459464Z", + "iopub.status.busy": "2023-11-04T09:26:36.459016Z", + "iopub.status.idle": "2023-11-04T09:26:36.466508Z", + "shell.execute_reply": "2023-11-04T09:26:36.465973Z" } }, "outputs": [ @@ -881,10 +881,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.873797Z", - "iopub.status.busy": "2023-11-02T15:25:24.873186Z", - "iopub.status.idle": "2023-11-02T15:25:25.261875Z", - "shell.execute_reply": "2023-11-02T15:25:25.260990Z" + "iopub.execute_input": "2023-11-04T09:26:36.469002Z", + "iopub.status.busy": "2023-11-04T09:26:36.468626Z", + "iopub.status.idle": "2023-11-04T09:26:36.709208Z", + "shell.execute_reply": "2023-11-04T09:26:36.708493Z" }, "scrolled": true }, @@ -923,10 +923,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:25.268461Z", - "iopub.status.busy": "2023-11-02T15:25:25.266538Z", - "iopub.status.idle": "2023-11-02T15:25:25.695806Z", - "shell.execute_reply": "2023-11-02T15:25:25.694867Z" + "iopub.execute_input": "2023-11-04T09:26:36.712450Z", + "iopub.status.busy": "2023-11-04T09:26:36.712004Z", + "iopub.status.idle": "2023-11-04T09:26:37.006255Z", + "shell.execute_reply": "2023-11-04T09:26:37.005617Z" }, "scrolled": true }, @@ -935,7 +935,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy of cleanlab's model: 0.9\n" + "Test accuracy of cleanlab's model: 0.91\n" ] } ], @@ -959,10 +959,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:25.700871Z", - "iopub.status.busy": "2023-11-02T15:25:25.700305Z", - "iopub.status.idle": "2023-11-02T15:25:25.708850Z", - "shell.execute_reply": "2023-11-02T15:25:25.707940Z" + "iopub.execute_input": "2023-11-04T09:26:37.009494Z", + "iopub.status.busy": "2023-11-04T09:26:37.009061Z", + "iopub.status.idle": "2023-11-04T09:26:37.013220Z", + "shell.execute_reply": "2023-11-04T09:26:37.012649Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb index 6e3a1dadb..47ef32c52 100644 --- a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:31.547394Z", - "iopub.status.busy": "2023-11-02T15:25:31.546506Z", - "iopub.status.idle": "2023-11-02T15:25:33.874027Z", - "shell.execute_reply": "2023-11-02T15:25:33.872542Z" + "iopub.execute_input": "2023-11-04T09:26:42.213668Z", + "iopub.status.busy": "2023-11-04T09:26:42.213136Z", + "iopub.status.idle": "2023-11-04T09:26:43.527461Z", + "shell.execute_reply": "2023-11-04T09:26:43.526752Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-11-02 15:25:31-- https://data.deepai.org/conll2003.zip\r\n", + "--2023-11-04 09:26:42-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,16 +94,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "143.244.50.90, 2400:52e0:1a01::1001:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.50.90|:443... connected.\r\n", - "HTTP request sent, awaiting response... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "200 OK\r\n", + "169.150.236.99, 2400:52e0:1a00::941:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -116,9 +109,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", + "conll2003.zip 100%[===================>] 959.94K 5.38MB/s in 0.2s \r\n", "\r\n", - "2023-11-02 15:25:31 (6.50 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2023-11-04 09:26:42 (5.38 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -138,22 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-11-02 15:25:32-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.204.17, 54.231.160.57, 52.217.231.65, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.204.17|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" + "--2023-11-04 09:26:42-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.168.17, 16.182.68.129, 54.231.166.249, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.168.17|:443... " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -174,23 +161,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 0%[ ] 118.90K 521KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 6%[> ] 1.11M 2.43MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 45%[========> ] 7.39M 10.7MB/s " + "pred_probs.npz 38%[======> ] 6.33M 31.6MB/s " ] }, { @@ -198,10 +169,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 98%[==================> ] 16.05M 17.4MB/s \r", - "pred_probs.npz 100%[===================>] 16.26M 17.6MB/s in 0.9s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 58.7MB/s in 0.3s \r\n", "\r\n", - "2023-11-02 15:25:33 (17.6 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2023-11-04 09:26:43 (58.7 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -218,10 +188,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:33.879577Z", - "iopub.status.busy": "2023-11-02T15:25:33.879227Z", - "iopub.status.idle": "2023-11-02T15:25:35.563876Z", - "shell.execute_reply": "2023-11-02T15:25:35.562737Z" + "iopub.execute_input": "2023-11-04T09:26:43.530634Z", + "iopub.status.busy": "2023-11-04T09:26:43.530385Z", + "iopub.status.idle": "2023-11-04T09:26:44.518033Z", + "shell.execute_reply": "2023-11-04T09:26:44.517397Z" }, "nbsphinx": "hidden" }, @@ -232,7 +202,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -258,10 +228,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.568365Z", - "iopub.status.busy": "2023-11-02T15:25:35.567762Z", - "iopub.status.idle": "2023-11-02T15:25:35.574662Z", - "shell.execute_reply": "2023-11-02T15:25:35.573725Z" + "iopub.execute_input": "2023-11-04T09:26:44.520951Z", + "iopub.status.busy": "2023-11-04T09:26:44.520445Z", + "iopub.status.idle": "2023-11-04T09:26:44.524139Z", + "shell.execute_reply": "2023-11-04T09:26:44.523623Z" } }, "outputs": [], @@ -311,10 +281,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.578785Z", - "iopub.status.busy": "2023-11-02T15:25:35.578117Z", - "iopub.status.idle": "2023-11-02T15:25:35.583153Z", - "shell.execute_reply": "2023-11-02T15:25:35.582212Z" + "iopub.execute_input": "2023-11-04T09:26:44.526666Z", + "iopub.status.busy": "2023-11-04T09:26:44.526180Z", + "iopub.status.idle": "2023-11-04T09:26:44.529385Z", + "shell.execute_reply": "2023-11-04T09:26:44.528883Z" }, "nbsphinx": "hidden" }, @@ -332,10 +302,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.586699Z", - "iopub.status.busy": "2023-11-02T15:25:35.586408Z", - "iopub.status.idle": "2023-11-02T15:25:49.528234Z", - "shell.execute_reply": "2023-11-02T15:25:49.527067Z" + "iopub.execute_input": "2023-11-04T09:26:44.531824Z", + "iopub.status.busy": "2023-11-04T09:26:44.531385Z", + "iopub.status.idle": "2023-11-04T09:26:52.439981Z", + "shell.execute_reply": "2023-11-04T09:26:52.439303Z" } }, "outputs": [], @@ -409,10 +379,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:49.532817Z", - "iopub.status.busy": "2023-11-02T15:25:49.532446Z", - "iopub.status.idle": "2023-11-02T15:25:49.543261Z", - "shell.execute_reply": "2023-11-02T15:25:49.542272Z" + "iopub.execute_input": "2023-11-04T09:26:52.442879Z", + "iopub.status.busy": "2023-11-04T09:26:52.442629Z", + "iopub.status.idle": "2023-11-04T09:26:52.448555Z", + "shell.execute_reply": "2023-11-04T09:26:52.447929Z" }, "nbsphinx": "hidden" }, @@ -452,10 +422,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:49.547607Z", - "iopub.status.busy": "2023-11-02T15:25:49.547258Z", - "iopub.status.idle": "2023-11-02T15:25:50.330234Z", - "shell.execute_reply": "2023-11-02T15:25:50.329066Z" + "iopub.execute_input": "2023-11-04T09:26:52.450897Z", + "iopub.status.busy": "2023-11-04T09:26:52.450468Z", + "iopub.status.idle": "2023-11-04T09:26:52.843977Z", + "shell.execute_reply": "2023-11-04T09:26:52.843256Z" } }, "outputs": [], @@ -492,10 +462,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:50.334792Z", - "iopub.status.busy": "2023-11-02T15:25:50.334444Z", - "iopub.status.idle": "2023-11-02T15:25:50.344687Z", - "shell.execute_reply": "2023-11-02T15:25:50.343690Z" + "iopub.execute_input": "2023-11-04T09:26:52.847083Z", + "iopub.status.busy": "2023-11-04T09:26:52.846696Z", + "iopub.status.idle": "2023-11-04T09:26:52.851927Z", + "shell.execute_reply": "2023-11-04T09:26:52.851397Z" } }, "outputs": [ @@ -567,10 +537,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:50.349163Z", - "iopub.status.busy": "2023-11-02T15:25:50.348798Z", - "iopub.status.idle": "2023-11-02T15:25:53.878811Z", - "shell.execute_reply": "2023-11-02T15:25:53.877194Z" + "iopub.execute_input": "2023-11-04T09:26:52.854342Z", + "iopub.status.busy": "2023-11-04T09:26:52.853981Z", + "iopub.status.idle": "2023-11-04T09:26:54.749676Z", + "shell.execute_reply": "2023-11-04T09:26:54.748895Z" } }, "outputs": [], @@ -592,10 +562,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.884326Z", - "iopub.status.busy": "2023-11-02T15:25:53.883304Z", - "iopub.status.idle": "2023-11-02T15:25:53.897999Z", - "shell.execute_reply": "2023-11-02T15:25:53.896964Z" + "iopub.execute_input": "2023-11-04T09:26:54.753157Z", + "iopub.status.busy": "2023-11-04T09:26:54.752394Z", + "iopub.status.idle": "2023-11-04T09:26:54.759451Z", + "shell.execute_reply": "2023-11-04T09:26:54.758872Z" } }, "outputs": [ @@ -631,10 +601,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.902373Z", - "iopub.status.busy": "2023-11-02T15:25:53.902039Z", - "iopub.status.idle": "2023-11-02T15:25:53.934615Z", - "shell.execute_reply": "2023-11-02T15:25:53.933424Z" + "iopub.execute_input": "2023-11-04T09:26:54.762088Z", + "iopub.status.busy": "2023-11-04T09:26:54.761717Z", + "iopub.status.idle": "2023-11-04T09:26:54.779102Z", + "shell.execute_reply": "2023-11-04T09:26:54.778598Z" } }, "outputs": [ @@ -812,10 +782,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.939676Z", - "iopub.status.busy": "2023-11-02T15:25:53.939086Z", - "iopub.status.idle": "2023-11-02T15:25:54.001248Z", - "shell.execute_reply": "2023-11-02T15:25:54.000165Z" + "iopub.execute_input": "2023-11-04T09:26:54.781675Z", + "iopub.status.busy": "2023-11-04T09:26:54.781294Z", + "iopub.status.idle": "2023-11-04T09:26:54.812221Z", + "shell.execute_reply": "2023-11-04T09:26:54.811719Z" } }, "outputs": [ @@ -917,10 +887,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:54.005615Z", - "iopub.status.busy": "2023-11-02T15:25:54.005259Z", - "iopub.status.idle": "2023-11-02T15:25:54.019524Z", - "shell.execute_reply": "2023-11-02T15:25:54.018511Z" + "iopub.execute_input": "2023-11-04T09:26:54.814796Z", + "iopub.status.busy": "2023-11-04T09:26:54.814442Z", + "iopub.status.idle": "2023-11-04T09:26:54.822845Z", + "shell.execute_reply": "2023-11-04T09:26:54.822342Z" } }, "outputs": [ @@ -994,10 +964,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:54.024085Z", - "iopub.status.busy": "2023-11-02T15:25:54.023715Z", - "iopub.status.idle": "2023-11-02T15:25:57.422363Z", - "shell.execute_reply": "2023-11-02T15:25:57.421225Z" + "iopub.execute_input": "2023-11-04T09:26:54.825181Z", + "iopub.status.busy": "2023-11-04T09:26:54.824816Z", + "iopub.status.idle": "2023-11-04T09:26:56.592022Z", + "shell.execute_reply": "2023-11-04T09:26:56.591412Z" } }, "outputs": [ @@ -1169,10 +1139,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:57.426694Z", - "iopub.status.busy": "2023-11-02T15:25:57.426334Z", - "iopub.status.idle": "2023-11-02T15:25:57.433970Z", - "shell.execute_reply": "2023-11-02T15:25:57.432833Z" + "iopub.execute_input": "2023-11-04T09:26:56.594750Z", + "iopub.status.busy": "2023-11-04T09:26:56.594322Z", + "iopub.status.idle": "2023-11-04T09:26:56.598656Z", + "shell.execute_reply": "2023-11-04T09:26:56.598107Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials_image_38_0.png b/master/.doctrees/nbsphinx/tutorials_image_38_0.png index 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it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/tabular.ipynb b/master/_sources/tutorials/tabular.ipynb index 5792d9930..6ff8ff967 100644 --- a/master/_sources/tutorials/tabular.ipynb +++ b/master/_sources/tutorials/tabular.ipynb @@ -119,7 +119,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/text.ipynb b/master/_sources/tutorials/text.ipynb index a1d728979..aae739258 100644 --- a/master/_sources/tutorials/text.ipynb +++ b/master/_sources/tutorials/text.ipynb @@ -128,7 +128,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/token_classification.ipynb b/master/_sources/tutorials/token_classification.ipynb index 030cf46ac..b158ef52c 100644 --- a/master/_sources/tutorials/token_classification.ipynb +++ b/master/_sources/tutorials/token_classification.ipynb @@ -95,7 +95,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/searchindex.js b/master/searchindex.js index bbee2b9ea..ce5788c61 100644 --- a/master/searchindex.js +++ b/master/searchindex.js @@ -1 +1 @@ -Search.setIndex({"docnames": ["cleanlab/benchmarking/index", "cleanlab/benchmarking/noise_generation", "cleanlab/classification", "cleanlab/count", "cleanlab/datalab/datalab", "cleanlab/datalab/guide/custom_issue_manager", 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3. Use pre-trained SpeechBrain model to featurize audio 
-[[-14.196314     7.319463    12.478973   ...   2.289077     2.8170207
-  -10.892647  ]
- [-24.898058     5.2561903   12.559641   ...  -3.5597146    9.620667
-  -10.28525   ]
- [-21.709623     7.503369     7.913801   ...  -6.819831     3.1831489
-  -17.208763  ]
+[[-14.196315    7.3194594  12.478977  ...   2.2890828   2.8170278
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+  -10.285246 ]
+ [-21.709623    7.5033712   7.913803  ...  -6.8198366   3.1831512
+  -17.208761 ]
  ...
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-  -10.682178  ]
- [-15.053809     5.2424674    1.0914197  ...  -0.78334606   9.039537
-  -23.569172  ]
- [-19.761091     1.1258256   16.75323    ...   3.3508904   11.598279
-  -16.237118  ]]
+ [-16.08426     6.3210406  12.005453  ...   1.2161605   9.478239
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 Shape of array:  (2500, 512)
@@ -1194,11 +1194,11 @@

5. Use cleanlab to find label issues 
 Here are indices of the most likely errors:
- [1946  469  516 1871 1955 2132]
+ [ 469  516 1946 1871 1955 2132]

These examples flagged by cleanlab are those worth inspecting more closely.

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"2023-11-04T09:14:33.058921Z", + "iopub.status.busy": "2023-11-04T09:14:33.058732Z", + "iopub.status.idle": "2023-11-04T09:14:36.154818Z", + "shell.execute_reply": "2023-11-04T09:14:36.154160Z" }, "nbsphinx": "hidden" }, @@ -97,7 +97,7 @@ "os.environ[\"TF_CPP_MIN_LOG_LEVEL\"] = \"3\" \n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -131,10 +131,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:26.881580Z", - "iopub.status.busy": "2023-11-02T15:05:26.880944Z", - "iopub.status.idle": "2023-11-02T15:05:26.887617Z", - "shell.execute_reply": "2023-11-02T15:05:26.886317Z" + "iopub.execute_input": "2023-11-04T09:14:36.158120Z", + "iopub.status.busy": "2023-11-04T09:14:36.157500Z", + "iopub.status.idle": "2023-11-04T09:14:36.161065Z", + "shell.execute_reply": "2023-11-04T09:14:36.160474Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:26.891866Z", - "iopub.status.busy": "2023-11-02T15:05:26.891493Z", - "iopub.status.idle": "2023-11-02T15:05:26.899015Z", - "shell.execute_reply": "2023-11-02T15:05:26.898157Z" + "iopub.execute_input": "2023-11-04T09:14:36.163383Z", + "iopub.status.busy": "2023-11-04T09:14:36.163047Z", + "iopub.status.idle": "2023-11-04T09:14:36.167916Z", + "shell.execute_reply": "2023-11-04T09:14:36.167314Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2023-11-02T15:05:26.903692Z", - "iopub.status.busy": "2023-11-02T15:05:26.903296Z", - "iopub.status.idle": "2023-11-02T15:05:29.038767Z", - "shell.execute_reply": "2023-11-02T15:05:29.037268Z" + "iopub.execute_input": "2023-11-04T09:14:36.170490Z", + "iopub.status.busy": "2023-11-04T09:14:36.170122Z", + "iopub.status.idle": "2023-11-04T09:14:37.923854Z", + "shell.execute_reply": "2023-11-04T09:14:37.923069Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2023-11-02T15:05:29.043752Z", - "iopub.status.busy": "2023-11-02T15:05:29.043305Z", - "iopub.status.idle": "2023-11-02T15:05:29.068776Z", - "shell.execute_reply": "2023-11-02T15:05:29.065728Z" + "iopub.execute_input": "2023-11-04T09:14:37.927457Z", + "iopub.status.busy": "2023-11-04T09:14:37.926820Z", + "iopub.status.idle": "2023-11-04T09:14:37.939268Z", + "shell.execute_reply": "2023-11-04T09:14:37.938689Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:29.120504Z", - "iopub.status.busy": "2023-11-02T15:05:29.119834Z", - "iopub.status.idle": "2023-11-02T15:05:29.128756Z", - "shell.execute_reply": "2023-11-02T15:05:29.127685Z" + "iopub.execute_input": "2023-11-04T09:14:37.972749Z", + "iopub.status.busy": "2023-11-04T09:14:37.972236Z", + "iopub.status.idle": "2023-11-04T09:14:37.978086Z", + "shell.execute_reply": "2023-11-04T09:14:37.977473Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:05:29.132705Z", - "iopub.status.busy": "2023-11-02T15:05:29.132249Z", - "iopub.status.idle": "2023-11-02T15:05:30.385262Z", - "shell.execute_reply": "2023-11-02T15:05:30.384154Z" + "iopub.execute_input": "2023-11-04T09:14:37.980579Z", + "iopub.status.busy": "2023-11-04T09:14:37.980116Z", + "iopub.status.idle": "2023-11-04T09:14:38.641329Z", + "shell.execute_reply": "2023-11-04T09:14:38.640692Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:30.389517Z", - "iopub.status.busy": "2023-11-02T15:05:30.389205Z", - "iopub.status.idle": "2023-11-02T15:05:32.260251Z", - "shell.execute_reply": "2023-11-02T15:05:32.259150Z" + "iopub.execute_input": "2023-11-04T09:14:38.644024Z", + "iopub.status.busy": "2023-11-04T09:14:38.643660Z", + "iopub.status.idle": "2023-11-04T09:14:39.918150Z", + "shell.execute_reply": "2023-11-04T09:14:39.917452Z" }, "id": "vL9lkiKsHvKr" }, @@ -472,10 +472,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2023-11-02T15:05:32.265425Z", - "iopub.status.busy": "2023-11-02T15:05:32.265012Z", - "iopub.status.idle": "2023-11-02T15:05:32.313744Z", - "shell.execute_reply": "2023-11-02T15:05:32.312741Z" + "iopub.execute_input": "2023-11-04T09:14:39.921154Z", + "iopub.status.busy": "2023-11-04T09:14:39.920759Z", + "iopub.status.idle": "2023-11-04T09:14:39.943805Z", + "shell.execute_reply": "2023-11-04T09:14:39.943179Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -555,10 +555,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:32.317868Z", - "iopub.status.busy": "2023-11-02T15:05:32.317404Z", - "iopub.status.idle": "2023-11-02T15:05:32.324997Z", - "shell.execute_reply": "2023-11-02T15:05:32.323166Z" + "iopub.execute_input": "2023-11-04T09:14:39.946514Z", + "iopub.status.busy": "2023-11-04T09:14:39.946069Z", + "iopub.status.idle": "2023-11-04T09:14:39.949339Z", + "shell.execute_reply": "2023-11-04T09:14:39.948807Z" }, "id": "I8JqhOZgi94g" }, @@ -580,10 +580,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:32.329704Z", - "iopub.status.busy": "2023-11-02T15:05:32.328948Z", - "iopub.status.idle": "2023-11-02T15:05:52.890191Z", - "shell.execute_reply": "2023-11-02T15:05:52.888961Z" + "iopub.execute_input": "2023-11-04T09:14:39.951698Z", + "iopub.status.busy": "2023-11-04T09:14:39.951311Z", + "iopub.status.idle": "2023-11-04T09:14:58.185360Z", + "shell.execute_reply": "2023-11-04T09:14:58.184719Z" }, "id": "2FSQ2GR9R_YA" }, @@ -615,10 +615,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2023-11-02T15:05:52.895098Z", - "iopub.status.busy": "2023-11-02T15:05:52.894598Z", - "iopub.status.idle": "2023-11-02T15:05:52.904035Z", - "shell.execute_reply": "2023-11-02T15:05:52.903029Z" + "iopub.execute_input": "2023-11-04T09:14:58.188457Z", + "iopub.status.busy": "2023-11-04T09:14:58.188203Z", + "iopub.status.idle": "2023-11-04T09:14:58.192535Z", + "shell.execute_reply": "2023-11-04T09:14:58.191931Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -628,19 +628,19 @@ "name": "stdout", "output_type": "stream", "text": [ - "[[-14.196314 7.319463 12.478973 ... 2.289077 2.8170207\n", - " -10.892647 ]\n", - " [-24.898058 5.2561903 12.559641 ... -3.5597146 9.620667\n", - " -10.28525 ]\n", - " [-21.709623 7.503369 7.913801 ... -6.819831 3.1831489\n", - " -17.208763 ]\n", + "[[-14.196315 7.3194594 12.478977 ... 2.2890828 2.8170278\n", + " -10.892647 ]\n", + " [-24.898054 5.256194 12.559642 ... -3.559715 9.620667\n", + " -10.285246 ]\n", + " [-21.709623 7.5033712 7.913803 ... -6.8198366 3.1831512\n", + " -17.208761 ]\n", " ...\n", - " [-16.08426 6.321049 12.005462 ... 1.2161489 9.478238\n", - " -10.682178 ]\n", - " [-15.053809 5.2424674 1.0914197 ... -0.78334606 9.039537\n", - " -23.569172 ]\n", - " [-19.761091 1.1258256 16.75323 ... 3.3508904 11.598279\n", - " -16.237118 ]]\n", + " [-16.08426 6.3210406 12.005453 ... 1.2161605 9.478239\n", + " -10.682179 ]\n", + " [-15.0538025 5.242471 1.0914207 ... -0.7833488 9.039538\n", + " -23.56918 ]\n", + " [-19.761095 1.1258287 16.753235 ... 3.3508894 11.598273\n", + " -16.237122 ]]\n", "Shape of array: (2500, 512)\n" ] } @@ -677,10 +677,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:05:52.907888Z", - "iopub.status.busy": "2023-11-02T15:05:52.907427Z", - "iopub.status.idle": "2023-11-02T15:06:03.625042Z", - "shell.execute_reply": "2023-11-02T15:06:03.624121Z" + "iopub.execute_input": "2023-11-04T09:14:58.195059Z", + "iopub.status.busy": "2023-11-04T09:14:58.194608Z", + "iopub.status.idle": "2023-11-04T09:15:03.681718Z", + "shell.execute_reply": "2023-11-04T09:15:03.681022Z" }, "id": "i_drkY9YOcw4" }, @@ -714,10 +714,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.631737Z", - "iopub.status.busy": "2023-11-02T15:06:03.631099Z", - "iopub.status.idle": "2023-11-02T15:06:03.640217Z", - "shell.execute_reply": "2023-11-02T15:06:03.638680Z" + "iopub.execute_input": "2023-11-04T09:15:03.685164Z", + "iopub.status.busy": "2023-11-04T09:15:03.684713Z", + "iopub.status.idle": "2023-11-04T09:15:03.690169Z", + "shell.execute_reply": "2023-11-04T09:15:03.689411Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -764,10 +764,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.644669Z", - "iopub.status.busy": "2023-11-02T15:06:03.644182Z", - "iopub.status.idle": "2023-11-02T15:06:03.824976Z", - "shell.execute_reply": "2023-11-02T15:06:03.823711Z" + "iopub.execute_input": "2023-11-04T09:15:03.693142Z", + "iopub.status.busy": "2023-11-04T09:15:03.692713Z", + "iopub.status.idle": "2023-11-04T09:15:03.794138Z", + "shell.execute_reply": "2023-11-04T09:15:03.793157Z" } }, "outputs": [ @@ -804,10 +804,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.829635Z", - "iopub.status.busy": "2023-11-02T15:06:03.828770Z", - "iopub.status.idle": "2023-11-02T15:06:03.848490Z", - "shell.execute_reply": "2023-11-02T15:06:03.847462Z" + "iopub.execute_input": "2023-11-04T09:15:03.796814Z", + "iopub.status.busy": "2023-11-04T09:15:03.796541Z", + "iopub.status.idle": "2023-11-04T09:15:03.806603Z", + "shell.execute_reply": "2023-11-04T09:15:03.805961Z" }, "scrolled": true }, @@ -836,11 +836,11 @@ "\n", "Examples representing most severe instances of this issue:\n", " is_label_issue label_score given_label predicted_label\n", - "176 False 0.006510 7 8\n", - "2318 False 0.008255 3 6\n", - "986 False 0.010404 6 3\n", - "1946 True 0.012856 6 8\n", - "469 True 0.013254 6 3\n" + "176 False 0.006488 7 8\n", + "2318 False 0.008269 3 6\n", + "986 False 0.010354 6 3\n", + "469 True 0.013459 6 3\n", + "516 True 0.013478 6 8\n" ] } ], @@ -862,10 +862,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.852661Z", - "iopub.status.busy": "2023-11-02T15:06:03.852187Z", - "iopub.status.idle": "2023-11-02T15:06:03.868624Z", - "shell.execute_reply": "2023-11-02T15:06:03.867661Z" + "iopub.execute_input": "2023-11-04T09:15:03.809201Z", + "iopub.status.busy": "2023-11-04T09:15:03.808822Z", + "iopub.status.idle": "2023-11-04T09:15:03.817024Z", + "shell.execute_reply": "2023-11-04T09:15:03.816398Z" } }, "outputs": [ @@ -900,14 +900,14 @@ " \n", " 0\n", " False\n", - " 0.100326\n", + " 0.100541\n", " 7\n", " 6\n", " \n", " \n", " 1\n", " False\n", - " 0.998723\n", + " 0.998729\n", " 0\n", " 0\n", " \n", @@ -921,14 +921,14 @@ " \n", " 3\n", " False\n", - " 0.981028\n", + " 0.980980\n", " 8\n", " 8\n", " \n", " \n", " 4\n", " False\n", - " 0.998219\n", + " 0.998217\n", " 5\n", " 5\n", " \n", @@ -938,11 +938,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 False 0.100326 7 6\n", - "1 False 0.998723 0 0\n", + "0 False 0.100541 7 6\n", + "1 False 0.998729 0 0\n", "2 False 0.998768 0 0\n", - "3 False 0.981028 8 8\n", - "4 False 0.998219 5 5" + "3 False 0.980980 8 8\n", + "4 False 0.998217 5 5" ] }, "execution_count": 17, @@ -969,10 +969,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.873201Z", - "iopub.status.busy": "2023-11-02T15:06:03.872566Z", - "iopub.status.idle": "2023-11-02T15:06:03.880593Z", - "shell.execute_reply": "2023-11-02T15:06:03.878738Z" + "iopub.execute_input": "2023-11-04T09:15:03.819463Z", + "iopub.status.busy": "2023-11-04T09:15:03.819085Z", + "iopub.status.idle": "2023-11-04T09:15:03.823767Z", + "shell.execute_reply": "2023-11-04T09:15:03.823209Z" } }, "outputs": [ @@ -981,7 +981,7 @@ "output_type": "stream", "text": [ "Here are indices of the most likely errors: \n", - " [1946 469 516 1871 1955 2132]\n" + " [ 469 516 1946 1871 1955 2132]\n" ] } ], @@ -1010,10 +1010,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.886485Z", - "iopub.status.busy": "2023-11-02T15:06:03.885904Z", - "iopub.status.idle": "2023-11-02T15:06:03.895979Z", - "shell.execute_reply": "2023-11-02T15:06:03.894718Z" + "iopub.execute_input": "2023-11-04T09:15:03.826153Z", + "iopub.status.busy": "2023-11-04T09:15:03.825785Z", + "iopub.status.idle": "2023-11-04T09:15:03.831847Z", + "shell.execute_reply": "2023-11-04T09:15:03.831282Z" }, "id": "FQwRHgbclpsO", "outputId": "fee5c335-c00e-4fcc-f22b-718705e93182" @@ -1046,11 +1046,6 @@ " \n", " \n", " \n", - " 1946\n", - " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav\n", - " 6\n", - " \n", - " \n", " 469\n", " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_35.wav\n", " 6\n", @@ -1061,6 +1056,11 @@ " 6\n", " \n", " \n", + " 1946\n", + " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav\n", + " 6\n", + " \n", + " \n", " 1871\n", " spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_theo_27.wav\n", " 6\n", @@ -1081,17 +1081,17 @@ ], "text/plain": [ " wav_audio_file_path \\\n", - "1946 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav \n", "469 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_35.wav \n", "516 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_36.wav \n", + "1946 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_yweweler_14.wav \n", "1871 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_theo_27.wav \n", "1955 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/4_george_31.wav \n", "2132 spoken_digits/free-spoken-digit-dataset-1.0.9/recordings/6_nicolas_8.wav \n", "\n", " label \n", - "1946 6 \n", "469 6 \n", "516 6 \n", + "1946 6 \n", "1871 6 \n", "1955 4 \n", "2132 6 " @@ -1133,10 +1133,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:03.901407Z", - "iopub.status.busy": "2023-11-02T15:06:03.900833Z", - "iopub.status.idle": "2023-11-02T15:06:04.118777Z", - "shell.execute_reply": "2023-11-02T15:06:04.117801Z" + "iopub.execute_input": "2023-11-04T09:15:03.834419Z", + "iopub.status.busy": "2023-11-04T09:15:03.834045Z", + "iopub.status.idle": "2023-11-04T09:15:03.946815Z", + "shell.execute_reply": "2023-11-04T09:15:03.946244Z" }, "id": "ff1NFVlDoysO", "outputId": "8141a036-44c1-4349-c338-880432513e37" @@ -1190,10 +1190,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:04.122845Z", - "iopub.status.busy": "2023-11-02T15:06:04.122302Z", - "iopub.status.idle": "2023-11-02T15:06:04.327446Z", - "shell.execute_reply": "2023-11-02T15:06:04.326294Z" + "iopub.execute_input": "2023-11-04T09:15:03.949212Z", + "iopub.status.busy": "2023-11-04T09:15:03.948896Z", + "iopub.status.idle": "2023-11-04T09:15:04.054984Z", + "shell.execute_reply": "2023-11-04T09:15:04.054333Z" }, "id": "GZgovGkdiaiP", "outputId": "d76b2ccf-8be2-4f3a-df4c-2c5c99150db7" @@ -1238,10 +1238,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2023-11-02T15:06:04.331730Z", - "iopub.status.busy": "2023-11-02T15:06:04.331338Z", - "iopub.status.idle": "2023-11-02T15:06:04.543356Z", - "shell.execute_reply": 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"IPY_MODEL_d0dbc9acefbc4af68fae5edb2752128e", "IPY_MODEL_7800c9e7cba142a899815dbea7f48559"], "layout": "IPY_MODEL_423f024249cb406dad7dad337c32ee1b"}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/datalab/datalab_advanced.ipynb b/master/tutorials/datalab/datalab_advanced.ipynb index 7fe2c7d0c..2d9e8efed 100644 --- a/master/tutorials/datalab/datalab_advanced.ipynb +++ b/master/tutorials/datalab/datalab_advanced.ipynb @@ -80,10 +80,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:11.086934Z", - "iopub.status.busy": "2023-11-02T15:06:11.086595Z", - "iopub.status.idle": "2023-11-02T15:06:12.917767Z", - "shell.execute_reply": "2023-11-02T15:06:12.916683Z" + "iopub.execute_input": "2023-11-04T09:15:09.183339Z", + "iopub.status.busy": "2023-11-04T09:15:09.183150Z", + "iopub.status.idle": "2023-11-04T09:15:10.206196Z", + "shell.execute_reply": "2023-11-04T09:15:10.205458Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -118,10 +118,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.922525Z", - "iopub.status.busy": "2023-11-02T15:06:12.922014Z", - "iopub.status.idle": "2023-11-02T15:06:12.928781Z", - "shell.execute_reply": "2023-11-02T15:06:12.927775Z" + "iopub.execute_input": "2023-11-04T09:15:10.209030Z", + "iopub.status.busy": "2023-11-04T09:15:10.208746Z", + "iopub.status.idle": "2023-11-04T09:15:10.212027Z", + "shell.execute_reply": "2023-11-04T09:15:10.211420Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.933655Z", - "iopub.status.busy": "2023-11-02T15:06:12.933299Z", - "iopub.status.idle": "2023-11-02T15:06:12.947575Z", - "shell.execute_reply": "2023-11-02T15:06:12.946455Z" + "iopub.execute_input": "2023-11-04T09:15:10.214512Z", + "iopub.status.busy": "2023-11-04T09:15:10.214167Z", + "iopub.status.idle": "2023-11-04T09:15:10.223374Z", + "shell.execute_reply": "2023-11-04T09:15:10.222763Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.951765Z", - "iopub.status.busy": "2023-11-02T15:06:12.951149Z", - "iopub.status.idle": "2023-11-02T15:06:12.960515Z", - "shell.execute_reply": "2023-11-02T15:06:12.959576Z" + "iopub.execute_input": "2023-11-04T09:15:10.225703Z", + "iopub.status.busy": "2023-11-04T09:15:10.225319Z", + "iopub.status.idle": "2023-11-04T09:15:10.230255Z", + "shell.execute_reply": "2023-11-04T09:15:10.229767Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:12.965024Z", - "iopub.status.busy": "2023-11-02T15:06:12.964445Z", - "iopub.status.idle": "2023-11-02T15:06:13.473895Z", - "shell.execute_reply": "2023-11-02T15:06:13.472813Z" + "iopub.execute_input": "2023-11-04T09:15:10.232748Z", + "iopub.status.busy": "2023-11-04T09:15:10.232387Z", + "iopub.status.idle": "2023-11-04T09:15:10.498963Z", + "shell.execute_reply": "2023-11-04T09:15:10.498370Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:13.478915Z", - "iopub.status.busy": "2023-11-02T15:06:13.478587Z", - "iopub.status.idle": "2023-11-02T15:06:14.094416Z", - "shell.execute_reply": "2023-11-02T15:06:14.092993Z" + "iopub.execute_input": "2023-11-04T09:15:10.501998Z", + "iopub.status.busy": "2023-11-04T09:15:10.501574Z", + "iopub.status.idle": "2023-11-04T09:15:10.866581Z", + "shell.execute_reply": "2023-11-04T09:15:10.865921Z" } }, "outputs": [ @@ -568,10 +568,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:14.099107Z", - "iopub.status.busy": "2023-11-02T15:06:14.098691Z", - "iopub.status.idle": "2023-11-02T15:06:14.147925Z", - "shell.execute_reply": "2023-11-02T15:06:14.146867Z" + "iopub.execute_input": "2023-11-04T09:15:10.869484Z", + "iopub.status.busy": "2023-11-04T09:15:10.869099Z", + "iopub.status.idle": "2023-11-04T09:15:10.893257Z", + "shell.execute_reply": "2023-11-04T09:15:10.892622Z" } }, "outputs": [], @@ -607,10 +607,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:14.152864Z", - "iopub.status.busy": "2023-11-02T15:06:14.152468Z", - "iopub.status.idle": 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"_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "ProgressView", + "bar_style": "success", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_0b830909454a4538a0f95dfd5429fc96", + "max": 132.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_654d8a4fb08641f7bb01ad666ae8215e", + "value": 132.0 + } + }, + "f5f0008f43c04dce869bbe61f6e304b2": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_04bab5117cfa4b3b8d0e903dd87a6f7f", + "IPY_MODEL_d0dbc9acefbc4af68fae5edb2752128e", + "IPY_MODEL_7800c9e7cba142a899815dbea7f48559" + ], + "layout": "IPY_MODEL_423f024249cb406dad7dad337c32ee1b" + } } }, "version_major": 2, diff --git a/master/tutorials/datalab/datalab_quickstart.html b/master/tutorials/datalab/datalab_quickstart.html index 85f7902f7..17c9365a4 100644 --- a/master/tutorials/datalab/datalab_quickstart.html +++ b/master/tutorials/datalab/datalab_quickstart.html @@ -804,7 +804,8 @@

Datalab: A unified audit to detect all kinds of issues in data and labels#

-

Cleanlab offers a Datalab object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. Datalab utilizes any ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the data.

+

Cleanlab offers a Datalab object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, drift, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. Datalab utilizes any ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the +data.

Overview of what we’ll do in this tutorial:

  • Compute out-of-sample predicted probabilities for a sample dataset using cross-validation.

    • diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb index 60fa59e16..8f2f23c18 100644 --- a/master/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/tutorials/datalab/datalab_quickstart.ipynb @@ -11,7 +11,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Cleanlab offers a `Datalab` object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. `Datalab` utilizes *any* ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the data.\n", + "Cleanlab offers a `Datalab` object that can identify various issues in your machine learning datasets, such as noisy labels, outliers, (near) duplicates, drift, and other types of problems common in real-world data. These data issues may negatively impact models if not addressed. `Datalab` utilizes *any* ML model you have already trained for your data to diagnose these issues, it only requires access to either: (probabilistic) predictions from your model or its learned representations of the data.\n", "\n", "\n", "**Overview of what we'll do in this tutorial:**\n", @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:22.612398Z", - "iopub.status.busy": "2023-11-02T15:06:22.611520Z", - "iopub.status.idle": "2023-11-02T15:06:24.407421Z", - "shell.execute_reply": "2023-11-02T15:06:24.406364Z" + "iopub.execute_input": "2023-11-04T09:15:17.241151Z", + "iopub.status.busy": "2023-11-04T09:15:17.240961Z", + "iopub.status.idle": "2023-11-04T09:15:18.276812Z", + "shell.execute_reply": "2023-11-04T09:15:18.276118Z" }, "nbsphinx": "hidden" }, @@ -91,7 +91,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"] # TODO: make sure this list is updated\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -116,10 +116,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.412394Z", - "iopub.status.busy": "2023-11-02T15:06:24.411888Z", - "iopub.status.idle": "2023-11-02T15:06:24.417488Z", - "shell.execute_reply": "2023-11-02T15:06:24.416529Z" + "iopub.execute_input": "2023-11-04T09:15:18.279854Z", + "iopub.status.busy": "2023-11-04T09:15:18.279335Z", + "iopub.status.idle": "2023-11-04T09:15:18.282448Z", + "shell.execute_reply": "2023-11-04T09:15:18.281896Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.421968Z", - "iopub.status.busy": "2023-11-02T15:06:24.421629Z", - "iopub.status.idle": "2023-11-02T15:06:24.435894Z", - "shell.execute_reply": "2023-11-02T15:06:24.434794Z" + "iopub.execute_input": "2023-11-04T09:15:18.284857Z", + "iopub.status.busy": "2023-11-04T09:15:18.284653Z", + "iopub.status.idle": "2023-11-04T09:15:18.293961Z", + "shell.execute_reply": "2023-11-04T09:15:18.293376Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.440505Z", - "iopub.status.busy": "2023-11-02T15:06:24.440183Z", - "iopub.status.idle": "2023-11-02T15:06:24.448131Z", - "shell.execute_reply": "2023-11-02T15:06:24.447154Z" + "iopub.execute_input": "2023-11-04T09:15:18.296070Z", + "iopub.status.busy": "2023-11-04T09:15:18.295872Z", + "iopub.status.idle": "2023-11-04T09:15:18.300839Z", + "shell.execute_reply": "2023-11-04T09:15:18.300214Z" } }, "outputs": [], @@ -443,10 +443,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.452825Z", - "iopub.status.busy": "2023-11-02T15:06:24.452429Z", - "iopub.status.idle": "2023-11-02T15:06:24.931958Z", - "shell.execute_reply": "2023-11-02T15:06:24.930835Z" + "iopub.execute_input": "2023-11-04T09:15:18.303529Z", + "iopub.status.busy": "2023-11-04T09:15:18.303094Z", + "iopub.status.idle": "2023-11-04T09:15:18.567124Z", + "shell.execute_reply": "2023-11-04T09:15:18.566431Z" }, "nbsphinx": "hidden" }, @@ -515,10 +515,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:24.936590Z", - "iopub.status.busy": "2023-11-02T15:06:24.936262Z", - "iopub.status.idle": "2023-11-02T15:06:25.528910Z", - "shell.execute_reply": "2023-11-02T15:06:25.527849Z" + "iopub.execute_input": "2023-11-04T09:15:18.569895Z", + "iopub.status.busy": "2023-11-04T09:15:18.569644Z", + "iopub.status.idle": "2023-11-04T09:15:18.876598Z", + "shell.execute_reply": "2023-11-04T09:15:18.875922Z" } }, "outputs": [ @@ -554,10 +554,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.533933Z", - "iopub.status.busy": "2023-11-02T15:06:25.533123Z", - "iopub.status.idle": "2023-11-02T15:06:25.539212Z", - "shell.execute_reply": "2023-11-02T15:06:25.538275Z" + "iopub.execute_input": "2023-11-04T09:15:18.879323Z", + "iopub.status.busy": "2023-11-04T09:15:18.878871Z", + "iopub.status.idle": "2023-11-04T09:15:18.881928Z", + "shell.execute_reply": "2023-11-04T09:15:18.881311Z" } }, "outputs": [], @@ -596,10 +596,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.544121Z", - "iopub.status.busy": "2023-11-02T15:06:25.543453Z", - "iopub.status.idle": "2023-11-02T15:06:25.588954Z", - "shell.execute_reply": "2023-11-02T15:06:25.587833Z" + "iopub.execute_input": "2023-11-04T09:15:18.884316Z", + "iopub.status.busy": "2023-11-04T09:15:18.883970Z", + "iopub.status.idle": "2023-11-04T09:15:18.908524Z", + "shell.execute_reply": "2023-11-04T09:15:18.907894Z" } }, "outputs": [], @@ -632,10 +632,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:25.594410Z", - "iopub.status.busy": "2023-11-02T15:06:25.594019Z", - "iopub.status.idle": "2023-11-02T15:06:27.916110Z", - "shell.execute_reply": "2023-11-02T15:06:27.914889Z" + "iopub.execute_input": "2023-11-04T09:15:18.911234Z", + "iopub.status.busy": "2023-11-04T09:15:18.910772Z", + "iopub.status.idle": "2023-11-04T09:15:20.194066Z", + "shell.execute_reply": "2023-11-04T09:15:20.193296Z" } }, "outputs": [ @@ -677,10 +677,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.921397Z", - "iopub.status.busy": "2023-11-02T15:06:27.920324Z", - "iopub.status.idle": "2023-11-02T15:06:27.949763Z", - "shell.execute_reply": "2023-11-02T15:06:27.948863Z" + "iopub.execute_input": "2023-11-04T09:15:20.197931Z", + "iopub.status.busy": "2023-11-04T09:15:20.197064Z", + "iopub.status.idle": "2023-11-04T09:15:20.222305Z", + "shell.execute_reply": "2023-11-04T09:15:20.221655Z" } }, "outputs": [ @@ -814,10 +814,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.953786Z", - "iopub.status.busy": "2023-11-02T15:06:27.953453Z", - "iopub.status.idle": "2023-11-02T15:06:27.968507Z", - "shell.execute_reply": "2023-11-02T15:06:27.967447Z" + "iopub.execute_input": "2023-11-04T09:15:20.225137Z", + "iopub.status.busy": "2023-11-04T09:15:20.224936Z", + "iopub.status.idle": "2023-11-04T09:15:20.232471Z", + "shell.execute_reply": "2023-11-04T09:15:20.231808Z" } }, "outputs": [ @@ -907,10 +907,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.973131Z", - "iopub.status.busy": "2023-11-02T15:06:27.972617Z", - "iopub.status.idle": "2023-11-02T15:06:27.986777Z", - "shell.execute_reply": "2023-11-02T15:06:27.985846Z" + "iopub.execute_input": "2023-11-04T09:15:20.235256Z", + "iopub.status.busy": "2023-11-04T09:15:20.234702Z", + "iopub.status.idle": "2023-11-04T09:15:20.241554Z", + "shell.execute_reply": "2023-11-04T09:15:20.241033Z" } }, "outputs": [ @@ -977,10 +977,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:27.992083Z", - "iopub.status.busy": "2023-11-02T15:06:27.991417Z", - "iopub.status.idle": "2023-11-02T15:06:28.006363Z", - "shell.execute_reply": "2023-11-02T15:06:28.005400Z" + "iopub.execute_input": "2023-11-04T09:15:20.243920Z", + "iopub.status.busy": "2023-11-04T09:15:20.243568Z", + "iopub.status.idle": "2023-11-04T09:15:20.251856Z", + "shell.execute_reply": "2023-11-04T09:15:20.251236Z" } }, "outputs": [ @@ -1122,10 +1122,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.011196Z", - "iopub.status.busy": "2023-11-02T15:06:28.010360Z", - "iopub.status.idle": "2023-11-02T15:06:28.026171Z", - "shell.execute_reply": "2023-11-02T15:06:28.025124Z" + "iopub.execute_input": "2023-11-04T09:15:20.254323Z", + "iopub.status.busy": "2023-11-04T09:15:20.253961Z", + "iopub.status.idle": "2023-11-04T09:15:20.263052Z", + "shell.execute_reply": "2023-11-04T09:15:20.262438Z" } }, "outputs": [ @@ -1241,10 +1241,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.031342Z", - "iopub.status.busy": "2023-11-02T15:06:28.030876Z", - "iopub.status.idle": "2023-11-02T15:06:28.045613Z", - "shell.execute_reply": "2023-11-02T15:06:28.044677Z" + "iopub.execute_input": "2023-11-04T09:15:20.265491Z", + "iopub.status.busy": "2023-11-04T09:15:20.265107Z", + "iopub.status.idle": "2023-11-04T09:15:20.272528Z", + "shell.execute_reply": "2023-11-04T09:15:20.271906Z" }, "scrolled": true }, @@ -1357,10 +1357,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:28.049709Z", - "iopub.status.busy": "2023-11-02T15:06:28.049342Z", - "iopub.status.idle": "2023-11-02T15:06:28.070099Z", - "shell.execute_reply": "2023-11-02T15:06:28.068752Z" + "iopub.execute_input": "2023-11-04T09:15:20.274914Z", + "iopub.status.busy": "2023-11-04T09:15:20.274557Z", + "iopub.status.idle": "2023-11-04T09:15:20.284596Z", + "shell.execute_reply": "2023-11-04T09:15:20.284062Z" } }, "outputs": [ diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index 1b734feb4..70d680f35 100644 --- a/master/tutorials/datalab/tabular.ipynb +++ b/master/tutorials/datalab/tabular.ipynb @@ -74,10 +74,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:33.982201Z", - "iopub.status.busy": "2023-11-02T15:06:33.981672Z", - "iopub.status.idle": "2023-11-02T15:06:35.602631Z", - "shell.execute_reply": "2023-11-02T15:06:35.601305Z" + "iopub.execute_input": "2023-11-04T09:15:25.403036Z", + "iopub.status.busy": "2023-11-04T09:15:25.402600Z", + "iopub.status.idle": "2023-11-04T09:15:26.380869Z", + "shell.execute_reply": "2023-11-04T09:15:26.380242Z" }, "nbsphinx": "hidden" }, @@ -87,7 +87,7 @@ "dependencies = [\"cleanlab\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.607678Z", - "iopub.status.busy": "2023-11-02T15:06:35.606748Z", - "iopub.status.idle": "2023-11-02T15:06:35.699828Z", - "shell.execute_reply": "2023-11-02T15:06:35.698417Z" + "iopub.execute_input": "2023-11-04T09:15:26.383744Z", + "iopub.status.busy": "2023-11-04T09:15:26.383447Z", + "iopub.status.idle": "2023-11-04T09:15:26.404461Z", + "shell.execute_reply": "2023-11-04T09:15:26.403961Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.704487Z", - "iopub.status.busy": "2023-11-02T15:06:35.704181Z", - "iopub.status.idle": "2023-11-02T15:06:35.965732Z", - "shell.execute_reply": "2023-11-02T15:06:35.964728Z" + "iopub.execute_input": "2023-11-04T09:15:26.406980Z", + "iopub.status.busy": "2023-11-04T09:15:26.406632Z", + "iopub.status.idle": "2023-11-04T09:15:26.579722Z", + "shell.execute_reply": "2023-11-04T09:15:26.579085Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.969664Z", - "iopub.status.busy": "2023-11-02T15:06:35.969373Z", - "iopub.status.idle": "2023-11-02T15:06:35.974881Z", - "shell.execute_reply": "2023-11-02T15:06:35.973936Z" + "iopub.execute_input": "2023-11-04T09:15:26.582067Z", + "iopub.status.busy": "2023-11-04T09:15:26.581864Z", + "iopub.status.idle": "2023-11-04T09:15:26.585645Z", + "shell.execute_reply": "2023-11-04T09:15:26.585033Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.978814Z", - "iopub.status.busy": "2023-11-02T15:06:35.978480Z", - "iopub.status.idle": "2023-11-02T15:06:35.991284Z", - "shell.execute_reply": "2023-11-02T15:06:35.990358Z" + "iopub.execute_input": "2023-11-04T09:15:26.587981Z", + "iopub.status.busy": "2023-11-04T09:15:26.587641Z", + "iopub.status.idle": "2023-11-04T09:15:26.596004Z", + "shell.execute_reply": "2023-11-04T09:15:26.595528Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:35.995571Z", - "iopub.status.busy": "2023-11-02T15:06:35.995226Z", - "iopub.status.idle": "2023-11-02T15:06:35.999637Z", - "shell.execute_reply": "2023-11-02T15:06:35.998739Z" + "iopub.execute_input": "2023-11-04T09:15:26.598476Z", + "iopub.status.busy": "2023-11-04T09:15:26.598127Z", + "iopub.status.idle": "2023-11-04T09:15:26.600892Z", + "shell.execute_reply": "2023-11-04T09:15:26.600300Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:36.003487Z", - "iopub.status.busy": "2023-11-02T15:06:36.003206Z", - "iopub.status.idle": "2023-11-02T15:06:43.684004Z", - "shell.execute_reply": "2023-11-02T15:06:43.682957Z" + "iopub.execute_input": "2023-11-04T09:15:26.603407Z", + "iopub.status.busy": "2023-11-04T09:15:26.603049Z", + "iopub.status.idle": "2023-11-04T09:15:30.200212Z", + "shell.execute_reply": "2023-11-04T09:15:30.199590Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:43.689242Z", - "iopub.status.busy": "2023-11-02T15:06:43.688272Z", - "iopub.status.idle": "2023-11-02T15:06:43.702508Z", - "shell.execute_reply": "2023-11-02T15:06:43.701693Z" + "iopub.execute_input": "2023-11-04T09:15:30.203433Z", + "iopub.status.busy": "2023-11-04T09:15:30.203003Z", + "iopub.status.idle": "2023-11-04T09:15:30.212845Z", + "shell.execute_reply": "2023-11-04T09:15:30.212359Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:43.707192Z", - "iopub.status.busy": "2023-11-02T15:06:43.706149Z", - "iopub.status.idle": "2023-11-02T15:06:46.097100Z", - "shell.execute_reply": "2023-11-02T15:06:46.095686Z" + "iopub.execute_input": "2023-11-04T09:15:30.215238Z", + "iopub.status.busy": "2023-11-04T09:15:30.214872Z", + "iopub.status.idle": "2023-11-04T09:15:31.528074Z", + "shell.execute_reply": "2023-11-04T09:15:31.527345Z" } }, "outputs": [ @@ -474,10 +474,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.103692Z", - "iopub.status.busy": "2023-11-02T15:06:46.102835Z", - "iopub.status.idle": "2023-11-02T15:06:46.141276Z", - "shell.execute_reply": "2023-11-02T15:06:46.140380Z" + "iopub.execute_input": "2023-11-04T09:15:31.532578Z", + "iopub.status.busy": "2023-11-04T09:15:31.531041Z", + "iopub.status.idle": "2023-11-04T09:15:31.555292Z", + "shell.execute_reply": "2023-11-04T09:15:31.554701Z" }, "scrolled": true }, @@ -602,10 +602,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.147666Z", - "iopub.status.busy": "2023-11-02T15:06:46.145839Z", - "iopub.status.idle": "2023-11-02T15:06:46.164279Z", - "shell.execute_reply": "2023-11-02T15:06:46.163393Z" + "iopub.execute_input": "2023-11-04T09:15:31.559657Z", + "iopub.status.busy": "2023-11-04T09:15:31.558523Z", + "iopub.status.idle": "2023-11-04T09:15:31.571002Z", + "shell.execute_reply": "2023-11-04T09:15:31.570416Z" } }, "outputs": [ @@ -709,10 +709,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.170493Z", - "iopub.status.busy": "2023-11-02T15:06:46.168974Z", - "iopub.status.idle": "2023-11-02T15:06:46.188996Z", - "shell.execute_reply": "2023-11-02T15:06:46.188149Z" + "iopub.execute_input": "2023-11-04T09:15:31.575269Z", + "iopub.status.busy": "2023-11-04T09:15:31.574145Z", + "iopub.status.idle": "2023-11-04T09:15:31.588421Z", + "shell.execute_reply": "2023-11-04T09:15:31.587848Z" } }, "outputs": [ @@ -841,10 +841,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.197784Z", - "iopub.status.busy": "2023-11-02T15:06:46.196078Z", - "iopub.status.idle": "2023-11-02T15:06:46.213774Z", - "shell.execute_reply": "2023-11-02T15:06:46.212928Z" + "iopub.execute_input": "2023-11-04T09:15:31.592729Z", + "iopub.status.busy": "2023-11-04T09:15:31.591609Z", + "iopub.status.idle": "2023-11-04T09:15:31.604074Z", + "shell.execute_reply": "2023-11-04T09:15:31.603486Z" } }, "outputs": [ @@ -958,10 +958,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.219808Z", - "iopub.status.busy": "2023-11-02T15:06:46.218365Z", - "iopub.status.idle": "2023-11-02T15:06:46.238073Z", - "shell.execute_reply": "2023-11-02T15:06:46.237140Z" + "iopub.execute_input": "2023-11-04T09:15:31.608346Z", + "iopub.status.busy": "2023-11-04T09:15:31.607235Z", + "iopub.status.idle": "2023-11-04T09:15:31.620610Z", + "shell.execute_reply": "2023-11-04T09:15:31.620088Z" } }, "outputs": [ @@ -1072,10 +1072,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.242777Z", - "iopub.status.busy": "2023-11-02T15:06:46.242222Z", - "iopub.status.idle": "2023-11-02T15:06:46.256012Z", - "shell.execute_reply": "2023-11-02T15:06:46.255018Z" + "iopub.execute_input": "2023-11-04T09:15:31.623160Z", + "iopub.status.busy": "2023-11-04T09:15:31.622793Z", + "iopub.status.idle": "2023-11-04T09:15:31.631056Z", + "shell.execute_reply": "2023-11-04T09:15:31.630441Z" } }, "outputs": [ @@ -1159,10 +1159,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.261449Z", - "iopub.status.busy": "2023-11-02T15:06:46.260868Z", - "iopub.status.idle": "2023-11-02T15:06:46.276389Z", - "shell.execute_reply": "2023-11-02T15:06:46.275391Z" + "iopub.execute_input": "2023-11-04T09:15:31.633521Z", + "iopub.status.busy": "2023-11-04T09:15:31.633146Z", + "iopub.status.idle": "2023-11-04T09:15:31.640048Z", + "shell.execute_reply": "2023-11-04T09:15:31.639432Z" } }, "outputs": [ @@ -1246,10 +1246,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:46.280975Z", - "iopub.status.busy": "2023-11-02T15:06:46.280466Z", - "iopub.status.idle": "2023-11-02T15:06:46.294388Z", - "shell.execute_reply": "2023-11-02T15:06:46.293317Z" + "iopub.execute_input": "2023-11-04T09:15:31.642412Z", + "iopub.status.busy": "2023-11-04T09:15:31.642216Z", + "iopub.status.idle": "2023-11-04T09:15:31.649233Z", + "shell.execute_reply": "2023-11-04T09:15:31.648670Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index da0418232..ee560a9d9 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -938,7 +938,7 @@

    2. Load and format the text dataset 
     This dataset has 10 classes.
-Classes: {'cancel_transfer', 'beneficiary_not_allowed', 'visa_or_mastercard', 'card_payment_fee_charged', 'getting_spare_card', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_about_to_expire'}
+Classes: {'card_about_to_expire', 'lost_or_stolen_phone', 'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'beneficiary_not_allowed', 'getting_spare_card', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}

Let’s view the i-th example in the dataset:

@@ -985,43 +985,43 @@

2. Load and format the text dataset
-
+
-
+
-
+
-
+
-
+
-
+
-
+
@@ -1124,9 +1124,9 @@

4. Use cleanlab to find issues in your dataset 481 False - 0.008164 + 0.008165 [] 0.008165 @@ -1705,7 +1705,7 @@

Near-duplicate issuesWe see that these two sets of request are indeed very similar to one another! Including near duplicates in a dataset may have unintended effects on models, and be wary about splitting them across training/test sets.

As demonstrated above, cleanlab can automatically shortlist the most likely issues in your dataset to help you better curate your dataset for subsequent modeling. With this shortlist, you can decide whether to fix these label issues or remove nonsensical or duplicated examples from your dataset to obtain a higher-quality dataset for training your next ML model. cleanlab’s issue detection can be run with outputs from any type of model you initially trained.

diff --git a/master/tutorials/datalab/text.ipynb b/master/tutorials/datalab/text.ipynb index 9df91a185..dc44b46d1 100644 --- a/master/tutorials/datalab/text.ipynb +++ b/master/tutorials/datalab/text.ipynb @@ -75,10 +75,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:51.481971Z", - "iopub.status.busy": "2023-11-02T15:06:51.481669Z", - "iopub.status.idle": "2023-11-02T15:06:55.748996Z", - "shell.execute_reply": "2023-11-02T15:06:55.747845Z" + "iopub.execute_input": "2023-11-04T09:15:36.553680Z", + "iopub.status.busy": "2023-11-04T09:15:36.553479Z", + "iopub.status.idle": "2023-11-04T09:15:38.717664Z", + "shell.execute_reply": "2023-11-04T09:15:38.717078Z" }, "nbsphinx": "hidden" }, @@ -93,7 +93,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "236cdd64e2ec4826bf5499162ff0fce7", + "model_id": "f3f34222ca7043c4b136a6e5ef95924b", "version_major": 2, "version_minor": 0 }, @@ -118,7 +118,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -143,10 +143,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.753700Z", - "iopub.status.busy": "2023-11-02T15:06:55.753204Z", - "iopub.status.idle": "2023-11-02T15:06:55.765076Z", - "shell.execute_reply": "2023-11-02T15:06:55.764037Z" + "iopub.execute_input": "2023-11-04T09:15:38.720624Z", + "iopub.status.busy": "2023-11-04T09:15:38.720146Z", + "iopub.status.idle": "2023-11-04T09:15:38.723637Z", + "shell.execute_reply": "2023-11-04T09:15:38.723114Z" } }, "outputs": [], @@ -167,10 +167,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.769453Z", - "iopub.status.busy": "2023-11-02T15:06:55.768997Z", - "iopub.status.idle": "2023-11-02T15:06:55.773743Z", - "shell.execute_reply": "2023-11-02T15:06:55.772862Z" + "iopub.execute_input": "2023-11-04T09:15:38.726110Z", + "iopub.status.busy": "2023-11-04T09:15:38.725697Z", + "iopub.status.idle": "2023-11-04T09:15:38.729243Z", + "shell.execute_reply": "2023-11-04T09:15:38.728617Z" }, "nbsphinx": "hidden" }, @@ -200,10 +200,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.777670Z", - "iopub.status.busy": "2023-11-02T15:06:55.777342Z", - "iopub.status.idle": "2023-11-02T15:06:55.924863Z", - "shell.execute_reply": "2023-11-02T15:06:55.923726Z" + "iopub.execute_input": "2023-11-04T09:15:38.731648Z", + "iopub.status.busy": "2023-11-04T09:15:38.731207Z", + "iopub.status.idle": "2023-11-04T09:15:38.783437Z", + "shell.execute_reply": "2023-11-04T09:15:38.782845Z" } }, "outputs": [ @@ -293,10 +293,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.930337Z", - "iopub.status.busy": "2023-11-02T15:06:55.929880Z", - "iopub.status.idle": "2023-11-02T15:06:55.937958Z", - "shell.execute_reply": "2023-11-02T15:06:55.936649Z" + "iopub.execute_input": "2023-11-04T09:15:38.785843Z", + "iopub.status.busy": "2023-11-04T09:15:38.785463Z", + "iopub.status.idle": "2023-11-04T09:15:38.789711Z", + "shell.execute_reply": "2023-11-04T09:15:38.789080Z" } }, "outputs": [ @@ -305,7 +305,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'cancel_transfer', 'beneficiary_not_allowed', 'visa_or_mastercard', 'card_payment_fee_charged', 'getting_spare_card', 'lost_or_stolen_phone', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_about_to_expire'}\n" + "Classes: {'card_about_to_expire', 'lost_or_stolen_phone', 'change_pin', 'card_payment_fee_charged', 'cancel_transfer', 'beneficiary_not_allowed', 'getting_spare_card', 'visa_or_mastercard', 'apple_pay_or_google_pay', 'supported_cards_and_currencies'}\n" ] } ], @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.943907Z", - "iopub.status.busy": "2023-11-02T15:06:55.943412Z", - "iopub.status.idle": "2023-11-02T15:06:55.949964Z", - "shell.execute_reply": "2023-11-02T15:06:55.948808Z" + "iopub.execute_input": "2023-11-04T09:15:38.792080Z", + "iopub.status.busy": "2023-11-04T09:15:38.791619Z", + "iopub.status.idle": "2023-11-04T09:15:38.795303Z", + "shell.execute_reply": "2023-11-04T09:15:38.794713Z" } }, "outputs": [ @@ -387,17 +387,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:06:55.956224Z", - "iopub.status.busy": "2023-11-02T15:06:55.955612Z", - "iopub.status.idle": "2023-11-02T15:07:03.427101Z", - "shell.execute_reply": "2023-11-02T15:07:03.426018Z" + "iopub.execute_input": "2023-11-04T09:15:38.797681Z", + "iopub.status.busy": "2023-11-04T09:15:38.797467Z", + "iopub.status.idle": "2023-11-04T09:15:48.120248Z", + "shell.execute_reply": "2023-11-04T09:15:48.119503Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ccd2ff966a224331ba87576dc1b583cb", + "model_id": "e511e2ae0df34b0785f65d2d9896abbd", "version_major": 2, "version_minor": 0 }, @@ -411,7 +411,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "6f3fdd1e44734a38a1e4e79af6e724bc", + "model_id": "188508a8bb914f0181fd7770d36add4b", "version_major": 2, "version_minor": 0 }, @@ -425,7 +425,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2fbd72a11b38422db8cc2b7b6ea3c24f", + "model_id": "ab0236503c4244ca89641b8946acd4f5", "version_major": 2, "version_minor": 0 }, @@ -439,7 +439,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f035475e4b9d4449ae283a09b15d99e4", + "model_id": "f6de89c6c65341eabdf9febce459d412", "version_major": 2, "version_minor": 0 }, @@ -453,7 +453,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "514ddf8139274a3a9647d84cd184ac47", + "model_id": "b019f05692624c239026d8862df67d84", "version_major": 2, "version_minor": 0 }, @@ -467,7 +467,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9fb3e20f3e343ae855437a44c7793f2", + "model_id": "8aa91303345c41398c3fe82ad1a2d93f", "version_major": 2, "version_minor": 0 }, @@ -481,7 +481,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "034f1b3e40334552b37a430a3d2ea02f", + "model_id": "6fa8eb2588e84204b9588758d6cb0cc3", "version_major": 2, "version_minor": 0 }, @@ -535,10 +535,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:03.433864Z", - "iopub.status.busy": "2023-11-02T15:07:03.433293Z", - "iopub.status.idle": "2023-11-02T15:07:05.389023Z", - "shell.execute_reply": "2023-11-02T15:07:05.388046Z" + "iopub.execute_input": "2023-11-04T09:15:48.123910Z", + "iopub.status.busy": "2023-11-04T09:15:48.123413Z", + "iopub.status.idle": "2023-11-04T09:15:49.349084Z", + "shell.execute_reply": "2023-11-04T09:15:49.348422Z" }, "scrolled": true }, @@ -570,10 +570,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:05.396370Z", - "iopub.status.busy": "2023-11-02T15:07:05.394793Z", - "iopub.status.idle": "2023-11-02T15:07:05.399700Z", - "shell.execute_reply": "2023-11-02T15:07:05.398941Z" + "iopub.execute_input": "2023-11-04T09:15:49.353971Z", + "iopub.status.busy": "2023-11-04T09:15:49.352688Z", + "iopub.status.idle": "2023-11-04T09:15:49.357278Z", + "shell.execute_reply": "2023-11-04T09:15:49.356729Z" } }, "outputs": [], @@ -593,10 +593,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:05.404601Z", - "iopub.status.busy": "2023-11-02T15:07:05.403184Z", - "iopub.status.idle": "2023-11-02T15:07:07.655074Z", - "shell.execute_reply": "2023-11-02T15:07:07.653952Z" + "iopub.execute_input": "2023-11-04T09:15:49.361358Z", + "iopub.status.busy": "2023-11-04T09:15:49.360294Z", + "iopub.status.idle": "2023-11-04T09:15:50.689128Z", + "shell.execute_reply": "2023-11-04T09:15:50.688381Z" }, "scrolled": true }, @@ -638,10 +638,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.661548Z", - "iopub.status.busy": "2023-11-02T15:07:07.660400Z", - "iopub.status.idle": "2023-11-02T15:07:07.694205Z", - "shell.execute_reply": "2023-11-02T15:07:07.693039Z" + "iopub.execute_input": "2023-11-04T09:15:50.692733Z", + "iopub.status.busy": "2023-11-04T09:15:50.692045Z", + "iopub.status.idle": "2023-11-04T09:15:50.722637Z", + "shell.execute_reply": "2023-11-04T09:15:50.722038Z" }, "scrolled": true }, @@ -675,9 +675,9 @@ " is_label_issue label_score given_label predicted_label\n", "981 True 0.000005 card_about_to_expire card_payment_fee_charged\n", "974 True 0.000150 beneficiary_not_allowed change_pin\n", - "982 True 0.000220 apple_pay_or_google_pay card_about_to_expire\n", - "971 True 0.000511 beneficiary_not_allowed change_pin\n", - "980 True 0.000948 card_about_to_expire card_payment_fee_charged\n", + "982 True 0.000218 apple_pay_or_google_pay card_about_to_expire\n", + "971 True 0.000512 beneficiary_not_allowed change_pin\n", + "980 True 0.000947 card_about_to_expire card_payment_fee_charged\n", "\n", "\n", "---------------------- outlier issues ----------------------\n", @@ -718,7 +718,7 @@ "148 True 0.006237 [160] 0.006237\n", "546 True 0.006485 [514] 0.006485\n", "514 True 0.006485 [546] 0.006485\n", - "481 False 0.008164 [] 0.008165\n", + "481 False 0.008165 [] 0.008165\n", "\n", "\n", "---------------------- non_iid issues ----------------------\n", @@ -766,10 +766,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.699189Z", - "iopub.status.busy": "2023-11-02T15:07:07.698797Z", - "iopub.status.idle": "2023-11-02T15:07:07.715950Z", - "shell.execute_reply": "2023-11-02T15:07:07.714943Z" + "iopub.execute_input": "2023-11-04T09:15:50.725572Z", + "iopub.status.busy": "2023-11-04T09:15:50.725133Z", + "iopub.status.idle": "2023-11-04T09:15:50.735612Z", + "shell.execute_reply": "2023-11-04T09:15:50.735040Z" }, "scrolled": true }, @@ -805,35 +805,35 @@ " \n", " 0\n", " False\n", - " 0.792019\n", + " 0.791961\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 1\n", " False\n", - " 0.258451\n", + " 0.258508\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 2\n", " False\n", - " 0.698890\n", + " 0.699010\n", " cancel_transfer\n", " cancel_transfer\n", " \n", " \n", " 3\n", " False\n", - " 0.183006\n", + " 0.183136\n", " cancel_transfer\n", " apple_pay_or_google_pay\n", " \n", " \n", " 4\n", " False\n", - " 0.771030\n", + " 0.771112\n", " cancel_transfer\n", " cancel_transfer\n", " \n", @@ -843,11 +843,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 False 0.792019 cancel_transfer cancel_transfer\n", - "1 False 0.258451 cancel_transfer cancel_transfer\n", - "2 False 0.698890 cancel_transfer cancel_transfer\n", - "3 False 0.183006 cancel_transfer apple_pay_or_google_pay\n", - "4 False 0.771030 cancel_transfer cancel_transfer" + "0 False 0.791961 cancel_transfer cancel_transfer\n", + "1 False 0.258508 cancel_transfer cancel_transfer\n", + "2 False 0.699010 cancel_transfer cancel_transfer\n", + "3 False 0.183136 cancel_transfer apple_pay_or_google_pay\n", + "4 False 0.771112 cancel_transfer cancel_transfer" ] }, "execution_count": 12, @@ -879,10 +879,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.720812Z", - "iopub.status.busy": "2023-11-02T15:07:07.720503Z", - "iopub.status.idle": "2023-11-02T15:07:07.729293Z", - "shell.execute_reply": "2023-11-02T15:07:07.728533Z" + "iopub.execute_input": "2023-11-04T09:15:50.738566Z", + "iopub.status.busy": "2023-11-04T09:15:50.738130Z", + "iopub.status.idle": "2023-11-04T09:15:50.743326Z", + "shell.execute_reply": "2023-11-04T09:15:50.742752Z" } }, "outputs": [ @@ -920,10 +920,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.732985Z", - "iopub.status.busy": "2023-11-02T15:07:07.732523Z", - "iopub.status.idle": "2023-11-02T15:07:07.743470Z", - "shell.execute_reply": "2023-11-02T15:07:07.742677Z" + "iopub.execute_input": "2023-11-04T09:15:50.746213Z", + "iopub.status.busy": "2023-11-04T09:15:50.745782Z", + "iopub.status.idle": "2023-11-04T09:15:50.752734Z", + "shell.execute_reply": "2023-11-04T09:15:50.752281Z" } }, "outputs": [ @@ -1040,10 +1040,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.747385Z", - "iopub.status.busy": "2023-11-02T15:07:07.746914Z", - "iopub.status.idle": "2023-11-02T15:07:07.757616Z", - "shell.execute_reply": "2023-11-02T15:07:07.756572Z" + "iopub.execute_input": "2023-11-04T09:15:50.754979Z", + "iopub.status.busy": "2023-11-04T09:15:50.754645Z", + "iopub.status.idle": "2023-11-04T09:15:50.760689Z", + "shell.execute_reply": "2023-11-04T09:15:50.760231Z" } }, "outputs": [ @@ -1126,10 +1126,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.761190Z", - "iopub.status.busy": "2023-11-02T15:07:07.760749Z", - "iopub.status.idle": "2023-11-02T15:07:07.770098Z", - "shell.execute_reply": "2023-11-02T15:07:07.769368Z" + "iopub.execute_input": "2023-11-04T09:15:50.762834Z", + "iopub.status.busy": "2023-11-04T09:15:50.762501Z", + "iopub.status.idle": "2023-11-04T09:15:50.768106Z", + "shell.execute_reply": "2023-11-04T09:15:50.767656Z" } }, "outputs": [ @@ -1237,10 +1237,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.774559Z", - "iopub.status.busy": "2023-11-02T15:07:07.773594Z", - "iopub.status.idle": "2023-11-02T15:07:07.789667Z", - "shell.execute_reply": "2023-11-02T15:07:07.788852Z" + "iopub.execute_input": "2023-11-04T09:15:50.770332Z", + "iopub.status.busy": "2023-11-04T09:15:50.769995Z", + "iopub.status.idle": "2023-11-04T09:15:50.778402Z", + "shell.execute_reply": "2023-11-04T09:15:50.777940Z" } }, "outputs": [ @@ -1303,7 +1303,7 @@ " \n", " 481\n", " False\n", - " 0.008164\n", + " 0.008165\n", " []\n", " 0.008165\n", " \n", @@ -1317,7 +1317,7 @@ "148 True 0.006237 [160] \n", "546 True 0.006485 [514] \n", "514 True 0.006485 [546] \n", - "481 False 0.008164 [] \n", + "481 False 0.008165 [] \n", "\n", " distance_to_nearest_neighbor \n", "160 0.006237 \n", @@ -1351,10 +1351,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.793374Z", - "iopub.status.busy": "2023-11-02T15:07:07.792816Z", - "iopub.status.idle": "2023-11-02T15:07:07.805132Z", - "shell.execute_reply": "2023-11-02T15:07:07.803987Z" + "iopub.execute_input": "2023-11-04T09:15:50.780572Z", + "iopub.status.busy": "2023-11-04T09:15:50.780238Z", + "iopub.status.idle": "2023-11-04T09:15:50.785420Z", + "shell.execute_reply": "2023-11-04T09:15:50.784959Z" } }, "outputs": [ @@ -1422,10 +1422,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.810343Z", - "iopub.status.busy": "2023-11-02T15:07:07.809776Z", - "iopub.status.idle": "2023-11-02T15:07:07.822393Z", - "shell.execute_reply": "2023-11-02T15:07:07.821590Z" + "iopub.execute_input": "2023-11-04T09:15:50.787416Z", + "iopub.status.busy": "2023-11-04T09:15:50.787215Z", + "iopub.status.idle": "2023-11-04T09:15:50.793173Z", + "shell.execute_reply": "2023-11-04T09:15:50.792641Z" } }, "outputs": [ @@ -1503,10 +1503,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:07.828212Z", - "iopub.status.busy": "2023-11-02T15:07:07.826681Z", - "iopub.status.idle": "2023-11-02T15:07:07.837224Z", - "shell.execute_reply": "2023-11-02T15:07:07.836227Z" + "iopub.execute_input": "2023-11-04T09:15:50.795712Z", + "iopub.status.busy": "2023-11-04T09:15:50.795316Z", + "iopub.status.idle": "2023-11-04T09:15:50.800957Z", + "shell.execute_reply": "2023-11-04T09:15:50.800329Z" }, "nbsphinx": "hidden" }, @@ -1556,45 +1556,31 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "034f1b3e40334552b37a430a3d2ea02f": { + "03cacde467a6494ca2fb5df15e83efff": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "HBoxModel", + "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": 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"StyleView", + "bar_color": null, + "description_width": "" + } } }, "version_major": 2, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index ac4e96608..1e0c8fa38 100644 --- a/master/tutorials/dataset_health.ipynb +++ b/master/tutorials/dataset_health.ipynb @@ -68,10 +68,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:14.260958Z", - "iopub.status.busy": "2023-11-02T15:07:14.260528Z", - "iopub.status.idle": "2023-11-02T15:07:15.997921Z", - "shell.execute_reply": "2023-11-02T15:07:15.996863Z" + "iopub.execute_input": "2023-11-04T09:15:55.451513Z", + "iopub.status.busy": "2023-11-04T09:15:55.451324Z", + "iopub.status.idle": "2023-11-04T09:15:56.446679Z", + "shell.execute_reply": "2023-11-04T09:15:56.445976Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"requests\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -108,10 +108,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.013207Z", - "iopub.status.busy": "2023-11-02T15:07:16.012082Z", - "iopub.status.idle": "2023-11-02T15:07:16.018835Z", - "shell.execute_reply": "2023-11-02T15:07:16.018013Z" + "iopub.execute_input": "2023-11-04T09:15:56.449564Z", + "iopub.status.busy": "2023-11-04T09:15:56.449205Z", + "iopub.status.idle": "2023-11-04T09:15:56.452474Z", + "shell.execute_reply": "2023-11-04T09:15:56.451875Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.023794Z", - "iopub.status.busy": "2023-11-02T15:07:16.023352Z", - "iopub.status.idle": "2023-11-02T15:07:16.047649Z", - "shell.execute_reply": "2023-11-02T15:07:16.046696Z" + "iopub.execute_input": "2023-11-04T09:15:56.455005Z", + "iopub.status.busy": "2023-11-04T09:15:56.454576Z", + "iopub.status.idle": "2023-11-04T09:15:56.467928Z", + "shell.execute_reply": "2023-11-04T09:15:56.467320Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:16.052287Z", - "iopub.status.busy": "2023-11-02T15:07:16.051740Z", - "iopub.status.idle": "2023-11-02T15:07:23.520032Z", - "shell.execute_reply": "2023-11-02T15:07:23.519037Z" + "iopub.execute_input": "2023-11-04T09:15:56.470593Z", + "iopub.status.busy": "2023-11-04T09:15:56.470043Z", + "iopub.status.idle": "2023-11-04T09:16:01.734004Z", + "shell.execute_reply": "2023-11-04T09:16:01.733316Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index 1081d6d25..9127f0beb 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -932,13 +932,13 @@

How can I find label issues in big datasets with limited memory?

-
+
-
+
@@ -1193,7 +1193,7 @@

Can’t find an answer to your question?Cleanlab Github issues, Cleanlab Code Examples or our Slack Community.

If your question is not addressed anywhere, please open a new Github issue. Our developers may also provide personalized assistance in our Slack Community.

diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index cf2007041..d2794eb6d 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:29.130107Z", - "iopub.status.busy": "2023-11-02T15:07:29.129501Z", - "iopub.status.idle": "2023-11-02T15:07:30.882464Z", - "shell.execute_reply": "2023-11-02T15:07:30.881333Z" + "iopub.execute_input": "2023-11-04T09:16:06.280481Z", + "iopub.status.busy": "2023-11-04T09:16:06.280290Z", + "iopub.status.idle": "2023-11-04T09:16:07.255845Z", + "shell.execute_reply": "2023-11-04T09:16:07.255239Z" }, "nbsphinx": "hidden" }, @@ -97,10 +97,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:30.887830Z", - "iopub.status.busy": "2023-11-02T15:07:30.887227Z", - "iopub.status.idle": "2023-11-02T15:07:30.893501Z", - "shell.execute_reply": "2023-11-02T15:07:30.892514Z" + "iopub.execute_input": "2023-11-04T09:16:07.259098Z", + "iopub.status.busy": "2023-11-04T09:16:07.258498Z", + "iopub.status.idle": "2023-11-04T09:16:07.262075Z", + "shell.execute_reply": "2023-11-04T09:16:07.261547Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:30.897733Z", - "iopub.status.busy": "2023-11-02T15:07:30.897070Z", - "iopub.status.idle": "2023-11-02T15:07:34.547622Z", - "shell.execute_reply": "2023-11-02T15:07:34.546029Z" + "iopub.execute_input": "2023-11-04T09:16:07.264436Z", + "iopub.status.busy": "2023-11-04T09:16:07.264080Z", + "iopub.status.idle": "2023-11-04T09:16:09.206937Z", + "shell.execute_reply": "2023-11-04T09:16:09.206227Z" } }, "outputs": [], @@ -162,10 +162,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.553908Z", - "iopub.status.busy": "2023-11-02T15:07:34.552839Z", - "iopub.status.idle": "2023-11-02T15:07:34.615131Z", - "shell.execute_reply": "2023-11-02T15:07:34.613872Z" + "iopub.execute_input": "2023-11-04T09:16:09.210224Z", + "iopub.status.busy": "2023-11-04T09:16:09.209670Z", + "iopub.status.idle": "2023-11-04T09:16:09.245575Z", + "shell.execute_reply": "2023-11-04T09:16:09.244803Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.620878Z", - "iopub.status.busy": "2023-11-02T15:07:34.620238Z", - "iopub.status.idle": "2023-11-02T15:07:34.681213Z", - "shell.execute_reply": "2023-11-02T15:07:34.679814Z" + "iopub.execute_input": "2023-11-04T09:16:09.248684Z", + "iopub.status.busy": "2023-11-04T09:16:09.248416Z", + "iopub.status.idle": "2023-11-04T09:16:09.283859Z", + "shell.execute_reply": "2023-11-04T09:16:09.283195Z" } }, "outputs": [], @@ -213,10 +213,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.686921Z", - "iopub.status.busy": "2023-11-02T15:07:34.686043Z", - "iopub.status.idle": "2023-11-02T15:07:34.693038Z", - "shell.execute_reply": "2023-11-02T15:07:34.691987Z" + "iopub.execute_input": "2023-11-04T09:16:09.287093Z", + "iopub.status.busy": "2023-11-04T09:16:09.286592Z", + "iopub.status.idle": "2023-11-04T09:16:09.289772Z", + "shell.execute_reply": "2023-11-04T09:16:09.289222Z" } }, "outputs": [], @@ -238,10 +238,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.697396Z", - "iopub.status.busy": "2023-11-02T15:07:34.696809Z", - "iopub.status.idle": "2023-11-02T15:07:34.702099Z", - "shell.execute_reply": "2023-11-02T15:07:34.700801Z" + "iopub.execute_input": "2023-11-04T09:16:09.292245Z", + "iopub.status.busy": "2023-11-04T09:16:09.291801Z", + "iopub.status.idle": "2023-11-04T09:16:09.294565Z", + "shell.execute_reply": "2023-11-04T09:16:09.294019Z" } }, "outputs": [], @@ -298,10 +298,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.706971Z", - "iopub.status.busy": "2023-11-02T15:07:34.706590Z", - "iopub.status.idle": "2023-11-02T15:07:34.755062Z", - "shell.execute_reply": "2023-11-02T15:07:34.754205Z" + "iopub.execute_input": "2023-11-04T09:16:09.297131Z", + "iopub.status.busy": "2023-11-04T09:16:09.296782Z", + "iopub.status.idle": "2023-11-04T09:16:09.327250Z", + "shell.execute_reply": "2023-11-04T09:16:09.326619Z" } }, "outputs": [ @@ -315,7 +315,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ccdee57b5b0c4c699071d2367ce5bc0f", + "model_id": "141bccbaa1b84638b5597f17dac77695", "version_major": 2, "version_minor": 0 }, @@ -329,7 +329,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "462e18c7b9af4c8f8beb9d40c3c611ce", + "model_id": "9dbff80c15b240de879d1e056f4ecb98", "version_major": 2, "version_minor": 0 }, @@ -387,10 +387,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.760179Z", - "iopub.status.busy": "2023-11-02T15:07:34.759607Z", - "iopub.status.idle": "2023-11-02T15:07:34.770180Z", - "shell.execute_reply": "2023-11-02T15:07:34.769274Z" + "iopub.execute_input": "2023-11-04T09:16:09.333481Z", + "iopub.status.busy": "2023-11-04T09:16:09.333119Z", + "iopub.status.idle": "2023-11-04T09:16:09.339773Z", + "shell.execute_reply": "2023-11-04T09:16:09.339275Z" }, "nbsphinx": "hidden" }, @@ -421,10 +421,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.774840Z", - "iopub.status.busy": "2023-11-02T15:07:34.774200Z", - "iopub.status.idle": "2023-11-02T15:07:34.781222Z", - "shell.execute_reply": "2023-11-02T15:07:34.780137Z" + "iopub.execute_input": "2023-11-04T09:16:09.342208Z", + "iopub.status.busy": "2023-11-04T09:16:09.341844Z", + "iopub.status.idle": "2023-11-04T09:16:09.345466Z", + "shell.execute_reply": "2023-11-04T09:16:09.344927Z" }, "nbsphinx": "hidden" }, @@ -447,10 +447,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.785965Z", - "iopub.status.busy": "2023-11-02T15:07:34.785502Z", - "iopub.status.idle": "2023-11-02T15:07:34.796581Z", - "shell.execute_reply": "2023-11-02T15:07:34.795514Z" + "iopub.execute_input": "2023-11-04T09:16:09.348001Z", + "iopub.status.busy": "2023-11-04T09:16:09.347549Z", + "iopub.status.idle": "2023-11-04T09:16:09.354648Z", + "shell.execute_reply": "2023-11-04T09:16:09.353992Z" } }, "outputs": [], @@ -500,10 +500,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.801002Z", - "iopub.status.busy": "2023-11-02T15:07:34.800374Z", - "iopub.status.idle": "2023-11-02T15:07:34.863149Z", - "shell.execute_reply": "2023-11-02T15:07:34.861877Z" + "iopub.execute_input": "2023-11-04T09:16:09.357138Z", + "iopub.status.busy": "2023-11-04T09:16:09.356683Z", + "iopub.status.idle": "2023-11-04T09:16:09.392377Z", + "shell.execute_reply": "2023-11-04T09:16:09.391594Z" } }, "outputs": [], @@ -520,10 +520,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.869047Z", - "iopub.status.busy": "2023-11-02T15:07:34.868200Z", - "iopub.status.idle": "2023-11-02T15:07:34.925957Z", - "shell.execute_reply": "2023-11-02T15:07:34.924584Z" + "iopub.execute_input": "2023-11-04T09:16:09.395481Z", + "iopub.status.busy": "2023-11-04T09:16:09.395094Z", + "iopub.status.idle": "2023-11-04T09:16:09.432721Z", + "shell.execute_reply": "2023-11-04T09:16:09.432052Z" }, "nbsphinx": "hidden" }, @@ -602,10 +602,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:34.931161Z", - "iopub.status.busy": "2023-11-02T15:07:34.930700Z", - "iopub.status.idle": "2023-11-02T15:07:35.164522Z", - "shell.execute_reply": "2023-11-02T15:07:35.163456Z" + "iopub.execute_input": "2023-11-04T09:16:09.436219Z", + "iopub.status.busy": "2023-11-04T09:16:09.435642Z", + "iopub.status.idle": "2023-11-04T09:16:09.557849Z", + "shell.execute_reply": "2023-11-04T09:16:09.557115Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:35.170585Z", - "iopub.status.busy": "2023-11-02T15:07:35.168832Z", - "iopub.status.idle": "2023-11-02T15:07:40.547312Z", - "shell.execute_reply": "2023-11-02T15:07:40.546183Z" + "iopub.execute_input": "2023-11-04T09:16:09.560789Z", + "iopub.status.busy": "2023-11-04T09:16:09.560295Z", + "iopub.status.idle": "2023-11-04T09:16:12.040267Z", + "shell.execute_reply": "2023-11-04T09:16:12.039530Z" } }, "outputs": [ @@ -761,10 +761,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:40.552571Z", - "iopub.status.busy": "2023-11-02T15:07:40.551493Z", - "iopub.status.idle": "2023-11-02T15:07:40.676098Z", - "shell.execute_reply": "2023-11-02T15:07:40.672369Z" + "iopub.execute_input": "2023-11-04T09:16:12.042972Z", + "iopub.status.busy": "2023-11-04T09:16:12.042768Z", + "iopub.status.idle": "2023-11-04T09:16:12.103682Z", + "shell.execute_reply": "2023-11-04T09:16:12.103033Z" } }, "outputs": [ @@ -874,7 +874,50 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "08f60b2d38cc42e98d82fe0f56dd6113": { + "141bccbaa1b84638b5597f17dac77695": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_4eff796825b5464ea264226a4bd36975", + "IPY_MODEL_b04f04cf7fad483caf771b0f1ca8a8fc", + "IPY_MODEL_9a19f9fa1acd410ab9c16486477ffaaa" + ], + "layout": "IPY_MODEL_f96bb5f8df604a7bab038649c636c62f" + } + }, + "246e380a4a994540b62486b8e82fb3c1": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "1.5.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "1.5.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "1.5.0", + "_view_name": "HTMLView", + "description": "", + "description_tooltip": null, + "layout": "IPY_MODEL_f3ee9faedc8e4899aad5a45d7c7f834b", + "placeholder": "​", + "style": "IPY_MODEL_60bd2fd252ab478ab001929b4206271f", + "value": "number of examples processed for checking labels: " + } + }, + "2bc53b93d8a6496f8123b7eb0c23a27d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -926,7 +969,98 @@ "width": null } }, - 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2. Fetch and normalize the Fashion-MNIST dataset

-
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[3]:
@@ -989,7 +989,7 @@ 
2. Fetch and normalize the Fashion-MNIST dataset
-
+
@@ -1247,8 +1247,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings
 
 Training on fold: 1 ...
-epoch: 1 loss: 0.482 test acc: 86.925 time_taken: 10.037
-epoch: 2 loss: 0.329 test acc: 88.130 time_taken: 9.830
+epoch: 1 loss: 0.483 test acc: 86.835 time_taken: 4.539
+epoch: 2 loss: 0.331 test acc: 88.310 time_taken: 4.388
 Computing feature embeddings ...

@@ -1257,7 +1257,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 33.49it/s]
+100%|██████████| 40/40 [00:00<00:00, 63.93it/s]
@@ -1273,7 +1273,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 33.22it/s]
+100%|██████████| 40/40 [00:00<00:00, 67.33it/s]

@@ -1298,8 +1298,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 9.690
-epoch: 2 loss: 0.329 test acc: 88.360 time_taken: 8.988
+epoch: 1 loss: 0.492 test acc: 87.085 time_taken: 4.636
+epoch: 2 loss: 0.330 test acc: 88.290 time_taken: 4.296
 Computing feature embeddings ...

@@ -1308,7 +1308,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 34.17it/s]
+100%|██████████| 40/40 [00:00<00:00, 66.88it/s]
@@ -1324,7 +1324,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 35.00it/s]
+100%|██████████| 40/40 [00:00<00:00, 62.72it/s]

@@ -1349,8 +1349,8 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-epoch: 1 loss: 0.476 test acc: 86.555 time_taken: 9.230
-epoch: 2 loss: 0.327 test acc: 86.835 time_taken: 9.328
+epoch: 1 loss: 0.476 test acc: 86.305 time_taken: 4.632
+epoch: 2 loss: 0.328 test acc: 86.335 time_taken: 4.373
 Computing feature embeddings ...

@@ -1359,7 +1359,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 32.73it/s]
+100%|██████████| 40/40 [00:00<00:00, 66.12it/s]
@@ -1375,15 +1375,23 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-100%|██████████| 40/40 [00:01<00:00, 31.90it/s]
+100%|██████████| 40/40 [00:00<00:00, 68.20it/s]

-
+
 Finished Training
+
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+
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+

Reorder rows of the dataset based on row order in features and pred_probs. Carefully ensure your ordering of the dataset matches these objects!

@@ -1436,7 +1444,7 @@

7. Use cleanlab to find issues

-
+
@@ -1445,7 +1453,7 @@

7. Use cleanlab to find issues
 Removing grayscale from potential issues in the dataset as it exceeds max_prevalence=0.1
 
-Audit complete. 7558 issues found in the dataset.
+Audit complete. 7620 issues found in the dataset.

@@ -1467,9 +1475,9 @@

View report - 258 + 30659 True - 0.000012 - [9762, 54565, 47139] - 0.000012 + 0.000015 + [30968] + 0.000015 - 9762 + 30968 True - 0.000012 - [258, 54565, 47139] - 0.000012 + 0.000015 + [30659] + 0.000015 - 30968 + 258 True - 0.000022 - [30659] - 0.000022 + 0.000017 + [9762, 54565, 47139] + 0.000017 - 30659 + 9762 True - 0.000022 - [30968] - 0.000022 + 0.000017 + [258, 54565, 47139] + 0.000017 54565 True - 0.000022 + 0.000026 [9762, 258, 47139] - 0.000022 + 0.000026 @@ -2298,35 +2306,35 @@

Low information images - is_low_information_issue low_information_score + is_low_information_issue 53050 - True 0.067975 + True 40875 - True 0.089929 + True 9594 - True 0.092601 + True 34825 - True 0.107744 + True 37530 - True 0.108516 + True @@ -2349,7 +2357,7 @@

Low information images

Here we can see a lot of low information images belong to the Sandal class.

diff --git a/master/tutorials/image.ipynb b/master/tutorials/image.ipynb index e3ab6a49c..0d6c0c157 100644 --- a/master/tutorials/image.ipynb +++ b/master/tutorials/image.ipynb @@ -71,10 +71,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:46.724798Z", - "iopub.status.busy": "2023-11-02T15:07:46.724482Z", - "iopub.status.idle": "2023-11-02T15:07:50.455232Z", - "shell.execute_reply": "2023-11-02T15:07:50.453968Z" + "iopub.execute_input": "2023-11-04T09:16:17.413380Z", + "iopub.status.busy": "2023-11-04T09:16:17.413192Z", + "iopub.status.idle": "2023-11-04T09:16:19.485225Z", + "shell.execute_reply": "2023-11-04T09:16:19.484667Z" }, "nbsphinx": "hidden" }, @@ -112,10 +112,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:50.459743Z", - "iopub.status.busy": "2023-11-02T15:07:50.459163Z", - "iopub.status.idle": "2023-11-02T15:07:50.465535Z", - "shell.execute_reply": "2023-11-02T15:07:50.464536Z" + "iopub.execute_input": "2023-11-04T09:16:19.488237Z", + "iopub.status.busy": "2023-11-04T09:16:19.487740Z", + "iopub.status.idle": "2023-11-04T09:16:19.491483Z", + "shell.execute_reply": "2023-11-04T09:16:19.490959Z" } }, "outputs": [], @@ -152,17 +152,17 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:07:50.469150Z", - "iopub.status.busy": "2023-11-02T15:07:50.468858Z", - "iopub.status.idle": "2023-11-02T15:08:17.486180Z", - "shell.execute_reply": "2023-11-02T15:08:17.484813Z" + "iopub.execute_input": "2023-11-04T09:16:19.493918Z", + "iopub.status.busy": "2023-11-04T09:16:19.493550Z", + "iopub.status.idle": "2023-11-04T09:16:32.590696Z", + "shell.execute_reply": "2023-11-04T09:16:32.590055Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d05f567fc66047acb55847aaadfee70c", + "model_id": "1281c5f69432452d9bbc3f768aa9125d", "version_major": 2, "version_minor": 0 }, @@ -176,7 +176,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "612cefa3dd9347ea8c741dcdce1f8161", + "model_id": "4a71592e32144d348d484a0166e2664c", "version_major": 2, "version_minor": 0 }, @@ -190,7 +190,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "167ad04aa70d4431a7f93209fa3f0b90", + "model_id": "44f5e4f8bb604c8595fa0747a397c469", "version_major": 2, "version_minor": 0 }, @@ -204,7 +204,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a9c1ed92d1764f1dbd2c3822fa8b6898", + "model_id": "fe602eb6950c4adb8193e1b4d6cb1670", "version_major": 2, "version_minor": 0 }, @@ -218,7 +218,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "be5d8ecbd7ba4d20a2dd9b9089ba0b11", + "model_id": "7522bd2e46614a60ad0b06357b2d72f4", "version_major": 2, "version_minor": 0 }, @@ -232,7 +232,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "761c0ed328c449059ece5399e5ff1233", + "model_id": "1a75238303184efa8cd395078e0d7c99", "version_major": 2, "version_minor": 0 }, @@ -246,7 +246,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "1d522d5ab30c4b468f5e76bca05a50cc", + "model_id": "1621d8005b4444ea93969df9e9d7bdd3", "version_major": 2, "version_minor": 0 }, @@ -260,7 +260,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "d36d9d9cbc4845c4b832ff3271c15cec", + "model_id": "3bd0ca523aa04d828364731056c5a4a4", "version_major": 2, "version_minor": 0 }, @@ -274,7 +274,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "9b275e24abf4422ab8fd76f997e0928d", + "model_id": "537a7e5193204b0d9f24067d8b0d6a48", "version_major": 2, "version_minor": 0 }, @@ -288,7 +288,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7ab5d79c93ad4df5a716ff45665625e6", + "model_id": "260d17ac03e143209527054d9ba8baa0", "version_major": 2, "version_minor": 0 }, @@ -302,7 +302,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b98270fd10c84b9cbbb081039967ba17", + "model_id": "3e0a2134ee9540998f353457d1bf4ddf", "version_major": 2, "version_minor": 0 }, @@ -344,10 +344,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:08:17.491364Z", - "iopub.status.busy": "2023-11-02T15:08:17.490982Z", - "iopub.status.idle": "2023-11-02T15:08:17.497747Z", - "shell.execute_reply": "2023-11-02T15:08:17.496695Z" + "iopub.execute_input": "2023-11-04T09:16:32.593037Z", + "iopub.status.busy": "2023-11-04T09:16:32.592832Z", + "iopub.status.idle": "2023-11-04T09:16:32.596857Z", + "shell.execute_reply": "2023-11-04T09:16:32.596344Z" } }, "outputs": [ @@ -372,22 +372,22 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:08:17.502016Z", - "iopub.status.busy": "2023-11-02T15:08:17.501243Z", - "iopub.status.idle": "2023-11-02T15:08:42.567207Z", - "shell.execute_reply": "2023-11-02T15:08:42.565180Z" + "iopub.execute_input": "2023-11-04T09:16:32.599300Z", + "iopub.status.busy": "2023-11-04T09:16:32.598948Z", + "iopub.status.idle": "2023-11-04T09:16:43.366361Z", + "shell.execute_reply": "2023-11-04T09:16:43.365648Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "a11ed46d134748e790cad78f74d23947", + "model_id": "3168e4736ff2453499544e814fad0da2", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "Map (num_proc=2): 0%| | 0/60000 [00:00\n", " 0\n", " True\n", - " 0.129916\n", + " 0.110901\n", " T - shirt / top\n", " Dress\n", " \n", " \n", " 1\n", " False\n", - " 0.981029\n", + " 0.974390\n", " T - shirt / top\n", " T - shirt / top\n", " \n", " \n", " 2\n", " False\n", - " 0.996466\n", + " 0.998733\n", " Sandal\n", " Sandal\n", " \n", " \n", " 3\n", " False\n", - " 0.855478\n", + " 0.937117\n", " Sandal\n", " Sandal\n", " \n", " \n", " 4\n", " False\n", - " 0.998550\n", + " 0.998755\n", " Dress\n", " Dress\n", " \n", @@ -1974,11 +1736,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "0 True 0.129916 T - shirt / top Dress\n", - "1 False 0.981029 T - shirt / top T - shirt / top\n", - "2 False 0.996466 Sandal Sandal\n", - "3 False 0.855478 Sandal Sandal\n", - "4 False 0.998550 Dress Dress" + "0 True 0.110901 T - shirt / top Dress\n", + "1 False 0.974390 T - shirt / top T - shirt / top\n", + "2 False 0.998733 Sandal Sandal\n", + "3 False 0.937117 Sandal Sandal\n", + "4 False 0.998755 Dress Dress" ] }, "execution_count": 16, @@ -2005,10 +1767,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.062031Z", - "iopub.status.busy": "2023-11-02T15:15:40.061703Z", - "iopub.status.idle": "2023-11-02T15:15:40.076401Z", - "shell.execute_reply": "2023-11-02T15:15:40.075484Z" + "iopub.execute_input": "2023-11-04T09:20:58.249456Z", + "iopub.status.busy": "2023-11-04T09:20:58.249254Z", + "iopub.status.idle": "2023-11-04T09:20:58.258283Z", + "shell.execute_reply": "2023-11-04T09:20:58.257683Z" } }, "outputs": [ @@ -2041,39 +1803,39 @@ " \n", " \n", " \n", - " 11262\n", + " 19228\n", " True\n", " 0.000005\n", - " Coat\n", - " T - shirt / top\n", + " Dress\n", + " Shirt\n", " \n", " \n", - " 19228\n", + " 54078\n", " True\n", - " 0.000009\n", + " 0.000010\n", + " Pullover\n", " Dress\n", - " Shirt\n", " \n", " \n", - " 53564\n", + " 11262\n", " True\n", - " 0.000019\n", - " Pullover\n", + " 0.000014\n", + " Coat\n", " T - shirt / top\n", " \n", " \n", - " 45386\n", + " 53564\n", " True\n", - " 0.000029\n", - " Coat\n", - " Trouser\n", + " 0.000017\n", + " Pullover\n", + " T - shirt / top\n", " \n", " \n", - " 54078\n", + " 5473\n", " True\n", - " 0.000031\n", + " 0.000017\n", " Pullover\n", - " Dress\n", + " Trouser\n", " \n", " \n", "\n", @@ -2081,11 +1843,11 @@ ], "text/plain": [ " is_label_issue label_score given_label predicted_label\n", - "11262 True 0.000005 Coat T - shirt / top\n", - "19228 True 0.000009 Dress Shirt\n", - "53564 True 0.000019 Pullover T - shirt / top\n", - "45386 True 0.000029 Coat Trouser\n", - "54078 True 0.000031 Pullover Dress" + "19228 True 0.000005 Dress Shirt\n", + "54078 True 0.000010 Pullover Dress\n", + "11262 True 0.000014 Coat T - shirt / top\n", + "53564 True 0.000017 Pullover T - shirt / top\n", + "5473 True 0.000017 Pullover Trouser" ] }, "execution_count": 17, @@ -2138,10 +1900,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.080429Z", - "iopub.status.busy": "2023-11-02T15:15:40.080100Z", - "iopub.status.idle": "2023-11-02T15:15:40.087696Z", - "shell.execute_reply": "2023-11-02T15:15:40.086726Z" + "iopub.execute_input": "2023-11-04T09:20:58.260931Z", + "iopub.status.busy": "2023-11-04T09:20:58.260471Z", + "iopub.status.idle": "2023-11-04T09:20:58.265537Z", + "shell.execute_reply": "2023-11-04T09:20:58.264858Z" }, "nbsphinx": "hidden" }, @@ -2187,16 +1949,16 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:40.092584Z", - "iopub.status.busy": "2023-11-02T15:15:40.092269Z", - "iopub.status.idle": "2023-11-02T15:15:41.333110Z", - "shell.execute_reply": "2023-11-02T15:15:41.332043Z" + "iopub.execute_input": "2023-11-04T09:20:58.267759Z", + "iopub.status.busy": "2023-11-04T09:20:58.267554Z", + "iopub.status.idle": "2023-11-04T09:20:58.923032Z", + "shell.execute_reply": "2023-11-04T09:20:58.922361Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2225,10 +1987,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.337412Z", - "iopub.status.busy": "2023-11-02T15:15:41.337085Z", - "iopub.status.idle": "2023-11-02T15:15:41.351681Z", - "shell.execute_reply": "2023-11-02T15:15:41.350641Z" + "iopub.execute_input": "2023-11-04T09:20:58.925614Z", + "iopub.status.busy": "2023-11-04T09:20:58.925203Z", + "iopub.status.idle": "2023-11-04T09:20:58.933936Z", + "shell.execute_reply": "2023-11-04T09:20:58.933391Z" } }, "outputs": [ @@ -2259,29 +2021,29 @@ " \n", " \n", " \n", - " 27080\n", + " 40378\n", " True\n", - " 0.707531\n", + " 0.687452\n", " \n", " \n", - " 29412\n", + " 54473\n", " True\n", - " 0.713320\n", + " 0.705050\n", " \n", " \n", - " 25316\n", + " 29412\n", " True\n", - " 0.717087\n", + " 0.715470\n", " \n", " \n", - " 39719\n", + " 25316\n", " True\n", - " 0.729353\n", + " 0.716273\n", " \n", " \n", - " 4156\n", + " 52247\n", " True\n", - " 0.734812\n", + " 0.725283\n", " \n", " \n", "\n", @@ -2289,11 +2051,11 @@ ], "text/plain": [ " is_outlier_issue outlier_score\n", - "27080 True 0.707531\n", - "29412 True 0.713320\n", - "25316 True 0.717087\n", - "39719 True 0.729353\n", - "4156 True 0.734812" + "40378 True 0.687452\n", + "54473 True 0.705050\n", + "29412 True 0.715470\n", + "25316 True 0.716273\n", + "52247 True 0.725283" ] }, "execution_count": 20, @@ -2395,10 +2157,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.355714Z", - "iopub.status.busy": "2023-11-02T15:15:41.355359Z", - "iopub.status.idle": "2023-11-02T15:15:41.368410Z", - "shell.execute_reply": "2023-11-02T15:15:41.367065Z" + "iopub.execute_input": "2023-11-04T09:20:58.936365Z", + "iopub.status.busy": "2023-11-04T09:20:58.935999Z", + "iopub.status.idle": "2023-11-04T09:20:58.944013Z", + "shell.execute_reply": "2023-11-04T09:20:58.943511Z" }, "nbsphinx": "hidden" }, @@ -2474,16 +2236,16 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:41.373562Z", - "iopub.status.busy": "2023-11-02T15:15:41.373195Z", - "iopub.status.idle": "2023-11-02T15:15:42.224803Z", - "shell.execute_reply": "2023-11-02T15:15:42.223447Z" + "iopub.execute_input": "2023-11-04T09:20:58.946354Z", + "iopub.status.busy": "2023-11-04T09:20:58.946014Z", + "iopub.status.idle": "2023-11-04T09:20:59.415655Z", + "shell.execute_reply": "2023-11-04T09:20:59.414958Z" } }, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -2514,10 +2276,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.228758Z", - "iopub.status.busy": "2023-11-02T15:15:42.228401Z", - "iopub.status.idle": "2023-11-02T15:15:42.262904Z", - "shell.execute_reply": "2023-11-02T15:15:42.262036Z" + "iopub.execute_input": "2023-11-04T09:20:59.418331Z", + "iopub.status.busy": "2023-11-04T09:20:59.418011Z", + "iopub.status.idle": "2023-11-04T09:20:59.434230Z", + "shell.execute_reply": "2023-11-04T09:20:59.433564Z" } }, "outputs": [ @@ -2550,39 +2312,39 @@ " \n", " \n", " \n", - " 258\n", + " 30659\n", " True\n", - " 0.000012\n", - " [9762, 54565, 47139]\n", - " 0.000012\n", + " 0.000015\n", + " [30968]\n", + " 0.000015\n", " \n", " \n", - " 9762\n", + " 30968\n", " True\n", - " 0.000012\n", - " [258, 54565, 47139]\n", - " 0.000012\n", + " 0.000015\n", + " [30659]\n", + " 0.000015\n", " \n", " \n", - " 30968\n", + " 258\n", " True\n", - " 0.000022\n", - " [30659]\n", - " 0.000022\n", + " 0.000017\n", + " [9762, 54565, 47139]\n", + " 0.000017\n", " \n", " \n", - " 30659\n", + " 9762\n", " True\n", - " 0.000022\n", - " [30968]\n", - " 0.000022\n", + " 0.000017\n", + " [258, 54565, 47139]\n", + " 0.000017\n", " \n", " \n", " 54565\n", " True\n", - " 0.000022\n", + " 0.000026\n", " [9762, 258, 47139]\n", - " 0.000022\n", + " 0.000026\n", " \n", " \n", "\n", @@ -2590,18 +2352,18 @@ ], "text/plain": [ " is_near_duplicate_issue near_duplicate_score near_duplicate_sets \\\n", - "258 True 0.000012 [9762, 54565, 47139] \n", - "9762 True 0.000012 [258, 54565, 47139] \n", - "30968 True 0.000022 [30659] \n", - "30659 True 0.000022 [30968] \n", - "54565 True 0.000022 [9762, 258, 47139] \n", + "30659 True 0.000015 [30968] \n", + "30968 True 0.000015 [30659] \n", + "258 True 0.000017 [9762, 54565, 47139] \n", + "9762 True 0.000017 [258, 54565, 47139] \n", + "54565 True 0.000026 [9762, 258, 47139] \n", "\n", " distance_to_nearest_neighbor \n", - "258 0.000012 \n", - "9762 0.000012 \n", - "30968 0.000022 \n", - "30659 0.000022 \n", - "54565 0.000022 " + "30659 0.000015 \n", + "30968 0.000015 \n", + "258 0.000017 \n", + "9762 0.000017 \n", + "54565 0.000026 " ] }, "execution_count": 23, @@ -2674,10 +2436,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.267665Z", - "iopub.status.busy": "2023-11-02T15:15:42.267314Z", - "iopub.status.idle": "2023-11-02T15:15:42.279280Z", - "shell.execute_reply": "2023-11-02T15:15:42.278046Z" + "iopub.execute_input": "2023-11-04T09:20:59.436922Z", + "iopub.status.busy": "2023-11-04T09:20:59.436555Z", + "iopub.status.idle": "2023-11-04T09:20:59.442455Z", + "shell.execute_reply": "2023-11-04T09:20:59.441913Z" }, "nbsphinx": "hidden" }, @@ -2722,18 +2484,18 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:42.284954Z", - "iopub.status.busy": "2023-11-02T15:15:42.284327Z", - "iopub.status.idle": "2023-11-02T15:15:43.037624Z", - "shell.execute_reply": "2023-11-02T15:15:43.036755Z" + "iopub.execute_input": "2023-11-04T09:20:59.444739Z", + "iopub.status.busy": "2023-11-04T09:20:59.444364Z", + "iopub.status.idle": "2023-11-04T09:20:59.897736Z", + "shell.execute_reply": "2023-11-04T09:20:59.897071Z" } }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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d+MY3vgGbzQa73Z7zw6Sbs1gssNlsAMY/jEQigXg8jo0bNx5TcUsNh8OB9vZ2LF68WKOhqJOMrCFjjC9dUxqOaygjaipitVphtY4P0MgOY7EY3njjDVNquGjRIl0N87FDoPR8uSQaSrvdjpNOOgnz589HMplEPB6HxWKBw+HgxpeJZDKJRCIBxhgcDgdsNhs+/fRTXSMvZ5SGhSNqSE5KGpIDZ0JpOE65amjof2Cz2eB2u1FVVQWn0wkASKVSiMfjYIylDXf0YIwhkUjw3oi+vF4vwuEwH3qWKxOhIaVAyhXSsLKykmvIGOM751D6JxvJZJIfZ2YNRTs8Ug1L2ZcNbSjdbjdaWlrQ0NAAr9cLYHy3j5GREd3j5SGPOAwiUR0OB7xeLyZPngyr1Qqfz2d42H4syaahOKShPBBBRptLQ4vFgkOHDpW9hk1NTZg8ebJGw0AgkNa45cpnkZObUUM9O8xXw1L35ZKIKCsqKnh4nUql+Jec9JV/lnso+kDsdju8Xi88Hk/OcP/LTiYNKZokxIZS1C2bhh6PxzQayveaSqV4lEjoaSg7vc1mM62GenaYTUORUvdlQxtKj8eD1tZWNDc381lX4LCYNpsto0GKglPDQFRXV+MrX/kKqqur4ff7EQgEJuBujCGbhgA0+R09J6cvPQ2nT5+OSZMmYWRkpOw1bGtrQ3Nzs2ZjV9kO6Xdx5pZ009OwpqYGM2bMQE1NjSk0zMeXRb+l3Llsh2LDWiq+bGhD6XQ6UVtbi7q6OrhcLgDpvTbNxpJ4JC4JKpYYEF6vF83NzQDAr1uu6GlIWCwWPhtLEabVauVOLud7zKxhXV1dmoZiw2i1WjWjHHGCTI6YCI/Hg+bmZqRSKVNoqGeH2XyZIsRMIx+gdOzQ8KF3ZWUlqqqq4HA48jpHNEpqAOg1Etlut2PSpEkIBAIlMWN2LMmkodhDk04A0vJFYq5SPNfhcKC6uhrBYNDUGmYiHzt0OByoqqpCVVWVaTSsrKxMG8WIOoq6iQ2kbIel5suGfnoulwv19fVoaGjI2FvIxkriUsJX7o2o925sbEQ0GuUzcOXK0WgoRueihuLQyEwaUjRUX1+vGdlkQ7RDu93OZ2tJw1QqBafTiYaGBkQiEVNoWFdXh4aGBrjdbgD66TK975nssJR82dAljBaLBW63G263m4fleuRTViHmOaxWK5xOJ5xOZ84awi87ooYU2egZ6JFoSFGoWTS0Wq1pGh4Nog3KdljuHImG+ZQJlZovGxpRer1eHHfccWhtbYXT6eR1UtmEloeI5NgWi4UXrDocDtTW1iIYDOY9pP+y4vV60dLSgpaWFjidTr6iQdQpWyNJs5J0TjweRyKRgM1mQ3V1NUZHR8t+2EilLS0tLXA4HIhEIlyDXCkLAJpjRDu02+2oqanB2NhY2TeW+WgoIjeW5MtU91tqvmyoB9jtdp7XoNCbkudENgMVZxzpd4qG3G43XC7XMV3XWgpYrVZUVFSgqqqKP2hJnlzIpAG9J2tIjabL5YLL5Sr7iNJut6OiogKVlZWwWq1cQz3d5EkdQBsBAVo7VBqWhy8b2lDKQ5NEIpGWcwSgOYbEpshHrrFMJpO8NyrnFTmEzWaDy+Xi+ujVrQHja3D1NBTzQmIiXaxnLXeoBpCGjWJFhei8oh1Sp072JpYNyfqZSUNq0MgORQ1pKaO4coex8dU45MuihqXky4Y3lNTjAukNpVh0SvVtJH4gEODL9AhRWLrW0eabvixQQylqKBfr0+wh1bfRa8FgkD+7mcqGZCfXy3mWG2LBudhQynWRtJwOAHfscDiMeDyu2eVKdHIzaeh2u+HxeHhDSf4n3r/H4+F2SNoEg0HEYjFNQ0nF6qXiy4Ynn6hGDUgvHKc6K8YYotEo/5mOoR1yqEEVHV38oModceca2SnF1QyxWIwfQ9jt9oyrJ8SevpyRayNFOyT7JNsihxaPsdvtfH293EGZRUMg3Zfl10UN5WNIQ7mTLxVfNrShpCJU6sWpByGxPB4P7HY7wuEwBgYGND0O1b1RVCkKnEgkEA6HEQ6HDQ/ZjzV6ReVifsfr9XINDx06pNHQ6/WisrKSr8kV85nxeByhUMg0Gtrtdo0dUkNotVo1dujz+TQaUl6O7NDMGpIvkx1SByHbIWlI51VWVmLSpEm6GpaKLxveUMrLwYDDkwxUK5lKpRAKhfh5NARyOBwao6VzxeGjGdDLLxK0uUAwGEQkEtHoRQ1ApokLs2lIyPdNtZLJZFKzKYPYAIgTYyJm0VD2ZVkH2Q7F1TkVFRUaXxbrLEvFlw0felM0pFduYbPZ4HQ6EYlE4PP5eC9FSeHa2lp+vJwHoSLVci8PEjsU2dmpkNdutyMSieDgwYN8GENRVE1NjSa3RrjdbjQ2NiISiZS9hoB22Cg6KjA+LHS5XIhGo+jv7+ca0mRkbW0tj55EOzSbhmRvenZot9t52VB/fz/PO8q+DKAkfblkGkogvcGjXigWi2FwcBDxeBzRaBQWi4Wv/9TD5XKhrq4OgUCg7OvXAK2Byr0xaRiNRnHo0CHE43HEYjGuoai/iMvlQm1trSlqAAFoOgvZDsnJo9EofD4f373carVyDfXqAqkRNYuGmYIe0Q5jsRi3Q9GXM0WipeLLhjeUYk8uviaG8YlEghewkoGKeQwxryQn4s2A3n2K+gHjGoqPKJDrAcWkORUJy9coZ0Sbk7+IZDKJWCyGeDyOeDyu0VCcqRXt0IwaZntNtEOa/NKb7S41Xza8PEjuhfSMNBaLYWxsjM8gUnE6zXpTGE+7KcsPMSpn9DSk18UoSdbQarXyRhGARkMq79C7bjlC9ykPG/U0HB0d5SkgssNMGtJEhpk0lIMeWUOaOBRXgGXSECgdXzY8ohQRG0sRWi1C4splBED6sN3sZNMwHo/zSTI9DeXSDjMgd9R6ULSTj4aiLZpFQz0y2SHZ4pfFlw1tKMWSIKfTqTFWsWeiEoFIJIJgMAiLxYJwOKwxRDkK1Rs6lSNynZk4lBY1jMfjfMYxGAzCarUiFArl1NAMiM4raig7KpX7RCIRjI2NwWazZdTQbGTyZVnDWCymsUOLxZKXHRqtq+ERpZyL0NsQg/JqZKDA4eJpMbQ3m4MTeqtI5F45mUwiGo0iEonwXaJFDWXMpiU5OqGniaghOTlpSJhFLz307FBG1FD2ZT1KRU9DG0px5QKVq9Dv4vAvkUggGAwiEAhgYGAAqVQqbUt4aigzzaCXK7KGNByU7z0ajWJsbIxrSEvHRDJpWO7Qqhpxj0m9td7RaBSjo6MZNZRHRJSXy9V4lAN6dkivHamGpejLhjaUNItI5SoOh0OTsyBhIpEI/H4/hoaG8PnnnyMej2N4eJhfR+x1xJC/3I0TgCZnBoxvfiGusSVCoRB8Ph/8fj96enqQTCY1GoqIw3czOHkqlUIsFkM0GgVjjBeXy/laWcNEIsE1JKcmB6ffxRncckbPDvXyj6KGX3zxBVKpFIaGhgBoNRQ7m1LQz/Cht97OIXrH0DKmcDjMzyFkYQH9J8CVK/lqGIlEEA6HeU4om4biiohy15CW3OmtJ5ZLW0hDWlInayhf1wz6EXp5XiCzhrRC58tgh4Y2lPT86aqqKjQ0NKQlckng0dFR7N27F8PDw3ydKC0lozCfvotLHsUJn3KFNKysrER9fT03Mlp3SwSDQRw8eBB+vx+Dg4MAoNGQNucVIyEy5nLXMJFIIBAIYGxsDPX19Zp13qKTBwIBHDhwQKNhJBIBAI3u4sRGNBrlG2mUM/F4HKOjoxgZGUF9fT0AaOyQdAwGg+jr6+MaMsY0GtKae3FzDRp1mnroTYldMUSXSwXE/FooFOJ1fnQsTQCJvZC4PVM5k0wmEYlEEIlEeM0ZoM31UP1aMBhEMBhEOBxO0xCAxqBFDcvdyUkf2mFfLo+SawBJQ6pFJagAna5ZKjvfTATky9FoVPehYQB4LSoFMXp2SPWUoh2ShkZiaEOZSCQwNjbGi3gpIpQhp80Uessz3slkkn8Y5T7sSSQSGB0d5TvYyKVVhOi0eoirnWiH6kAggEAgoBkalSOhUAh9fX0AgObmZjQ2NvKOV+RIJhUYYwiFQujv78fAwADfJrBcicfjGBoagtvt5nMOmdJAR5L3jkajGBoagt/vN1RDw4fefr8fXq+XF/BSVCM/N5kcXc5/AOmlLDRLHgqFDO+JjjWxWAzDw8PweDx8tZK4LyIhdjZ6GhJk3DSUotU85UwkEkFvby9isRimT5+u2d9UtMN8co5iJETDzIMHD5Z9Q0nr4GkDFr3Za0C7qCGbL9OxtD0g7fVgFIY+yEMOq8WaSBFK+IqzuTRjLpYjiOfp7ahTjoidCKC/MQEdJ2tI9anio1YJyhfRMtFyhxo/q9UKh8OhO7LJpCGtXQa0s952ux1Op9MUz8wBDjeC5I+ZRjZiSky2Q0DbDtBmGg6Hw7wF5+KKCFlc0XGpmj8UCvEVJ6FQCH6/X3ets8PhQEVFBbxer67Blxu0tJNKrGjoIxqqmBsiDcPhMIaHh3nSnbSiyHTSpEmmeAojcPiZQl6vF1VVVQiFQmlRIOV5RQ0DgQB8Pp9mMoca2urqakyZMgUA+LOuyxkaTjscDrjdbt3Im+YbgsEgt7NwOIyhoSHuw3a7nbcFXq+XPxs903PrJwLDuzlxKCPXoBGUSBeT4lRmQOG4vLEGiV3u0ZA8HMxUlkFF1eLkDGkor9Ch/JyZIkrqmOmeM0XlooZkl6IdikNOu92ueRaPGRDz3Hro2SFtuaanofjwPCPt0NBPL5VK8VlveaZMXqdMa2ypURgaGsLu3bvR39/PHZs+BCoaJoMvZ+RZb0C7P6WYtxVr10jDnp4evkJC3MafMcajzHLXEDi8a404BJdTQaRhNBrlObbh4WHs2bMHPp8PAPjqMvG51maIyOmeZTvMpKFoh8PDw9wOAfAdhWgGnTQ00g4N9QCxPEh+bKpekSqtnGCMwe/3o7e3l9diiQ1lKpUyTY6SSi7IeQH9pYgU+VA9WiYNgcNPGMxUhVBuUOcgl0LJHbZcF8kYw8jICPbv369ZoUOdl1jJUe6dDZXxiXZI6PmyrGFvby+Ghoa4HdIcBPmy0VvVlcxkDvXotA+ixWLhOUy9cgLKdVBRud5wXfxermTSkIyKlpUdrYblrh9weEKBtKLIkuxQrLGU9aDNHSh/rreyxCwaynYoakhLHDNpGAgE+AIIMQoVl9GatuCcht4UVdKyMIpiyEDlsgDqhfr6+uDxeABAEz2WwiL6iYKiaIoqRQ3FaFPeoYUiyn379sHtdqetRBGXjZV7LWoymdQU48t2SLrKkzuMMYyOjmL//v18soYiSBohmUVDMY0m+jKlHWg0qGeHFFG6XC5uh2KnTQ2waZcwiqsX9CYk9DYmIGgmnD4AOk9cSWGGhlLWULxvsUfOpKGYcyPKfZgoI68nFmv8xEhJrsml4WYoFNIsscs2mVGukIbyCFD05Wx2SFUGpaqh4Q0lreOUHZWMkGbE5POGh4exd+9e/gQ8IH2LpnLPTwLaqFzMsckaylF5KpWC3+/Hnj17UFtbq5nEoOS5XsFwOSLuHiQODSnvTTYq5zDFqLyurk7z2AJ5Qs0MGtJstqwh+XkmO6TJnJqamrR6VMpP6lXDTCSGz3qLYbXcC1HyXM6v0fKwwcFBjI2N6a7NFa9TztBEjfiIDACaiZlM+bVgMIihoSGuoTxLaabOhnJrmexQLIgWCYfDGBwcxMjIiCZHKepnBg317FBceUMa6uXKZTsE0ncRMlrDkokoxeWJorjihqoi4jN09IbeZmksabhDGgLaJZ3U2ehpKCbeZeMtJSM91pCT06QXoNVQ1ElGbGAJUTOzaKhnh0B+nQ1N9OhVHQCloaHh5UGU+JWHjcDhHJreZA7VY1FuSG4kjQ7VJ4pUKsXr0kQDpWGfXBBNUO6NhuaZGkozFJyLZWqiI5P9kIZ6OUq53EVEXvFUztC2fKFQKC0VBhz2ZbmhFDWkHKU4kikVDQ1vSbJN/ev11oSYgJcnMMwE3bfekBHIT0NxhlY+3yzo6SNGQ7k01OtozIaeD4uTOZmicnnCVrbDUpiUNbyhJMQokHrycDiMsbEx3c1jSXi93Jw421vu6A1PxMmDUCiE0dHRjBrSUEnvwVp6RdjliJhmEL+LdjgyMpJRQzE3J6ePzLIfJZC+ixctQQTG85B+v193M23Zl+lc0Q6N1rBkGkpCNDKa8dbLa1DInimSEo8zG/lqKJfDiMl3wFz1qHIO7Eg0zOTIZtJPD1lDObVB6Pmy/L7RQY+hDaXFYuG7tsgF41RuICbYRcReSJw1N8tMLUEa0o41ckNHk16ZNKSyDb2o3CwObrVa+XZoestexTpVGbF20OwaOhwOXQ3FWtR8fFnedhEwPpVhaENptVr5ziBispYaPXmvPxGaRaOZNHmtuFkgJ5c1FAuAs1UO0KodedhTSvmhYw3ZITk5QdFgthwlDb3F0hd56G4WDd1uN9xut6Z+lDTMliuXfVm2w1LwZ8MjSr2SHiD7OmNRfL2yDDOVBwFHVzsqr+jRu55ZKgeAzBqSDWayR9JQntQRc8dm0DBT2oLIpJ+eL8vlfqYvDwLSa6REw8yGWJelV5Zht9sN3xV5IsjU0eST06Ght7z8jpLwTqcTDoej7B1dbCBlDeXljSJ6pS3idaisxegtwiYS2Rbz2dBCjCj1fNn0O5zLHIkQehGlfK1ybyT10IuGMiFGQ/I15Nlzs6A3sslGJg3pWmbY6q9QyJfpZ6KU7NDwhlKvHABAzkkZvb0B6TqEGXJD4syqqGE+Qxax4FyvtIWuX+6QfvLyT/o5m7OSHcpb2ZkpxwtoR4KyVrlyjbQYQm9kQ9c0WkfDG0oAug6aaThE0JA7WyGw0eJONJm0ykfDbPkjMyB2Nnr5tkwdN0WTmfb8pGubgUwBS6b0ECFqqMqDdBDLBkSB803e6u2ZaLaJnEwa5jtjqLe9mNkoxA7FSRzRoZUdHp2GperLhu8eJG6KAWi3V8omjrjjC33p5TfKHeqJ5c0I8nkUhtJwHL1603ztUCzD0ttgxCwair5cqIalaIeGR5R6WzKJ5COQvAIi32iqHJDLUmTy1UFPQ/F7OSNHhfI9F6KhWewQOLw5bzlqaHhDSRENkD5kzDdsFzcEpUjK4XCYoixD7I2B9EkxmnnNpoO4Cgowp4Z6dkiQptl0kO2QIikzaSjOXhdDw1Kyw5JoKOUwWyTX7LdYOE3nl8KOyBOJXHQv/pxvZyPml8ymoZ4dEvlG1qIdipNCSsOj05COLxU7NLyhlDeWlYXONcEg794CHC44N8NjQvVyQ4Q8pMx2DcrRiQ0lrR8vdw317FB8T/yeCbJDynOShmaxQznPq1dilq+GpejLJbFxr7wpqjiDmMvJGWNpzwYX1z+XO/lomOsJdqSh+JAxWpnjcrmO+T0YTT4a5tq2jzGW9qA20tAMdkgddqbORs496lHKvmx4HWWukpZcvZDFYuHLFcUHEYk/mwm9kooj0VDcj9FMGmaaPDgSDcVcmmiHRkdDRiCngHJNOtJxdrtdV0Oj7dDQhpKMiwzM4XDw92w2Gx8S6u18Q7hcLkyePBlNTU3weDyw2+1wOp18J5NyN1AamtCXqKHVatU8eD4Tsob0mXg8Hng8nrLXUHTQYmjo9Xq5HXq9XrhcrrLXENA+wZOe502v5+vLDQ0NmDx5MioqKkrKlw3fPQhIn7Chn7OtoyVsNhvcbjd3cOp5KK9hBvQmbArRkGbKS6Ennyj0Vt8crYYUEZlpUwwxAtfTMJ/d8vU0LBVfNjSijEQi8Pl8iMfj2LFjByoqKuByueDxeBAIBLB9+3b09vait7c3Y35oaGgI77//Pvbu3YuWlhbU1NSgv78fu3fvxv79++H3+yf2piaYaDSK/v5+xGIx7Ny5syAN9+3bh+bmZtTU1GBgYABffPEF+vr6MDQ0NMF3NbFEo1EMDAwUxQ737duHlpYWVFdXY2BgALt37zaFhsXy5S1btqC3tzdNQ6N92fCGsq+vD36/H//5z38QjUZRVVWF+vp6BAIBbnh9fX0ZxfX5fNi0aRMaGhrQ1dWFKVOm4NNPP8WWLVswODiIwcHBCb6riSUcDnMNt27dikgkwjUcGxvjnciBAweyavjWW2+hoaEBnZ2dptMwEongwIEDGBkZSbPDQjT87LPPTKWh6Mtkhw0NDQgEAtiyZQv27t2b05f//e9/o6GhAR0dHSWloeHjAXFmVt4OPtvO0oS8fEy+lhnWLheqIZV2KA2VHRaC3lJEWcNcs97ijvylpKGFmeETVCgUigIwPKJUKBSKUkc1lAqFQpED1VAqFApFDlRDqVAoFDlQDaVCoVDkQDWUCoVCkQPVUCoUCkUOVEOpUCgUOVANpUKhUOTg/wFs2UydQEdXHwAAAABJRU5ErkJggg==\n", 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\n", 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XGkWqqooZM2YgEAigtbUVGzduRFVVFSKRSEnQBYwHdKR53W436urqUFNTA13XEY/Hkcvl4PV65RT8HOTbxuNxGaDRlJt0A3O5HDKZDHK5HE6cOIHh4WEcOnQIe/bswcjIyKRSeGZMd5GCcxqLxbB+/XpEIhFEo1GZo+VCB0BySu5ZdXU1dF3H4OAgdF2H1+stCdg48vk8hoaGbMep5ZqXgoZIJILZs2ejtbUVkUgE+XxePuXcxyIzRakwYCxwIP82k8mgWCyiUCjIFA/dKLfbjUKhgHQ6jWQyKdcDxtNwmqYhFAoBgLyBdPNIO9s9kCvHaVVVlbRCJGDFYrGEU4obFEVBMBiEEAK6riOdTqNQKCCfz8vAWVVV+SkWi7bk1HLh1TQNixcvxvz589HY2IhcLodkMilJFUJId4DMVbFYlEQqioKRkRH5Ag/uKqiqCp/PJ80Xad5EIgFd10tIKxaLcLlcyGazcrZvEvrq6mq0trZiaGgIPT098vVMdgXndN68ecjn80ilUtL/JwEmTulDAS0wNp9CoVBAMplEoVDA6Oio5JSsHvGXy+UwPDwsX5bCOVUU5ZJxarnw+v1+rFixAqtXr4aiKMhkMkin00ilUtB1XZpOSoGRb0sBxalTp+ByueDxeBAKhaCqKpLJJJLJJFRVRTgchtvtLgnsiFyXyyXfLUGmizSMy+VCTU0NgsEgGhoasHbtWiQSCbz88su2F14zp5RzHR0dPYNTcgNIIRiGgZMnT0q/NxKJwO12I5lMYmRkBG63WwbNFLSV45QXfrjWnk5OLRdeRVHg9/sRDoelgE0UaHETwzUprev1eiVZpFlof0Qg3x8RDKBEu5MGohtCETtlNOwOzillWogjM6fc7zVzSv8DkJwC46myfD5/Vk75MSkwm05Op8XnDQaDqKqqkg4/Rbf8jTs8yKBImsjN5/MQQiCTycjfaRIMeicYHYv2RUSTkNPNomPzoMTv98u8cjgctpqSi4aZUxLGiTjlH+KUeEmn0zLrQD0inHPS4jwANHMqhJD+Ma1PnIZCIekPTzWmRfNqmga/3y9LkgDKRrW8cYc0I/ff8vm8XIdMFz0MRB7tG4DUtABKiOagIIYyHxQk2hmcU/Llye0yp6Y438QP15SkWWk5F066R2YtbuaUjsN7LDRNg8/ng6Io8qGYakxLntd8gTxLwF0AACU5Wr6teX/04RrVXHIuJ6zUkEL+NdfE5gYgO8N8XRQXKIpyBqeU4+UPNf0182x223h+ly/nUFW1pNGH543NpfypxLRV2MhPoqefNKeu6zIFw5uduZaYaF/c5+Ik879mst1uN4LBoCSWllH1rpJg5pSuZzKccoHkXE3EqXk9zqnH40EgEJDCy3PL9EBZAUvvFteg3PQA46adzBKBa4CJ/nJiuSBPpEXo+HQ8rmHND4fdNa8dOeWZItqOL7eKU8uEl0yJ1+uFx+OBpmky7QKMN9cA4xPF8UCCAgZeqqS/uVwOuVyuJLgDIAsX/DegNHDhZowyEPSblSZuKlApnFIMYjWnlgkvkcD7cPnFq6paUkkjX4kn1znRPOVDeU2qBgHj2oO0jjmrwP8nMnlzCddgdkUlcMp7I6zm1DLhdbvd8Pv98Pl80g/iwgKMP73UPGK+cPK3yG8jn03TNBkN002kfZsJo32Q1qJjASgJauh87IxK4tQcpPMHZcr4mNK9MXi9XkSjUTnkhJcoeTKdAihzspt8MNrOnEYjgmkMFk+yA6XpMjoONfRQsUPXdXljy6WE7IZK4ZSOY+aUbzsVsNTnpTFmvDJjjnS52THnfs2RLTdXtF+e4+TBlzltxtNjZE7NQsrPgQcudkGlc3oh3WVng6VuA/Xq0lOcz+eRzWYBjN2IUChUUj83+1PmfCR9yETx4IIn2c2E02gDv98v/UUz0aRxAoEAqqqqkMvlkE6nbSXAduWU+9pcwGl7v9+PaDSKXC6HVCo1ZZxaKrw0PIV8LGrVI7K8Xi8URZHlTU4mNzNm559uAk978RykuWmdzJvX65VCStU+7pu5XC45hMblciGTyVhFzwXBrpzSNuSKmDkNBAIIhUKyKcv2wktmiJs4+h1ASZeTuf5uhtkUkS820fr8RlCahxcleHMQgW4SnTeVou0EO3NK25s5pWORNp9KTi31ecms8CiXhpDk83k5QwtVt7LZrDR35fwjevozmQx0XZcEUtcSHYPIp7QSDyyy2aw0XVTX5+kjTdMQCARKyql2gV055VML8C5A+pDFmGqFYHmelwdAwHj1h1r5eAmRSJqMWTGXMM3gPhtPlFPek1I6/HfSLOaEvF1gZ055McScWrOqWGGp28CjTDJJwWAQ+XwefX19SKVSqK2txaJFi2RSnS6Sm3FzwEGBl7m6Q3/pN57MJ42QSCTQ398PwzAQjUblEHGekPd6vTJdZCfYldN4PF6WU3oYSJNPNaeW9jbwygwFSIFAAJlMBv39/ejp6UFTUxMaGxtlEGImtZwPRkl4Dh548Aia1qPAZmRkRI4kiEQiJUNeSHitIHqqYHdOw+GwHOjJA0NyR6YSlroN5pwpXQQNMUmlUnJAJS03mzhugrgwlTODPL/JyaYgrVAoyOEydF40BJwfz66oBE4BSI0PoORhMbsTFwtLhZfMC0WjHo8Hfr8fQozN9Njb24toNIpsNitHRlBjCfefyGTRhfOG63KEcF+PJtLIZDJIpVIYHBxEX18fPB4Pli1bJkfR8hs31VHxVMHOnPb29kLTNLS0tCAcDkvLAIxr9aluObXU56WL5cJB5iOfzyOdTstJi4k8/pQCpU88Pc0TaREegAHjfprL5ZImjiJjirKpzGpu47Oj8NqVU5pkhI7n8XhKgmJ+3lPJq2UhNSX8uX+kKIps5xsdHcXg4CDi8bicjhSALH9ymC+Yql80FJsvp6CETCa5BdlsVo6QHR4eRjKZlG4DaQRebbOj9rUrp6lUCsPDwzIFSTEEn1HdCj4trbBRBQaANCGUG8xkMiVEU4RK7XjmJDrXBDSxCPW0moWPlyk9Ho8cSp9KpZBMJjE8PCx7W6mbisDr9XaDnTmluTVIeAGUWLmp9neBaRxJYf6NCKMSJ92IcwkOmR/ez8orORw87UOahZLxFA3TcjoPs9axGyqF03KB3lTD0gobTzmZTTJN80SR6ujoKGpqauD1ekv6Dsz+maIoMicJjE/KV84skdahWXQ++ugj9Pf34/Tp01JQabpPGklAmsOOoyqIU3N52E6cUpWS7j1ZMj66e6pgueblKRP6jUikXlM+98LZtARty00an9y4nEai/WWzWXlDaS4tHkzwAKfcvuwAnioD7M2pOTVmRSBsaaqM+1T0IbNG0S3/zawVJvrQdsD4SAAii0fhRDQAZDIZJBKJkjm96Jj8uHb2eYHSm29HTvl6Zk4rTvMSMaQRqHmDiCJiJqqLm0uZZ1yAqRJmbt+jbVKpFIaGhuQcaeZp/rkZtbPwAigRKDtyagbvF6mIVJkZXIh54weRbJ5eaKLtaRvSNOUaSMzb8Zt9tsYTK02cFagUTq3icVqme6IGcGC8Hk5PKE1dGggE5AR4ZvNiNmuUjOfNInwd+t+sRSe6MeUCGLvD7pzSMSoy28DBT9z8dBuGId+BwAOoiWA2ifyJ59txsidDXLmUkJ1hZ07PlmabSkyb8NKTz80Mfedz6/K2v3L7AcbSNcFgEMB4uZI/3VT7p3wlaRI+RJuOTb4c+WWk0SpBeD/unE6L2wCUtvKZZ2yhMiLPsZ5tf/Q6LNIY5oiabiIni1eO6JwoPUY9DvSxa3kYKJ1u6ePO6bT08/KUizmfCkxchSlXyjR/5385yeXOhd9EXq83ZxysDDIuFmbffCJOzc04hMuJU0sbc7hzryiKfDEHvcCD1vP5fGe8W4LX0stdtHnYDu92IvAcrs/nQygUknPGApDDxvkrSK3q+p8K0LXytFM5TmlmnWAwKJtkLkdOp0Xz8ieYZt0mE8dviDkCBsqTzG+E2RxOpCU8Hk/J8B7SWJTMp2Px2r0dYa5eTcQpNetwrUi4XDidtoDN3FNLF0daIhAIQAgh3+dVDqQB6GZxE1ouQub+Ns0kzueLNaeYuGmzq/ASzsYpjTL2er0wDOOy5dRS4eUX7nK5JJHcxHk8HvlSQSEERkZGkMlkzqgMmX08ej9FOU3BNRNpE3oBCZk40ljZbFbuoxI072Q4pbnKQqEQisXiZcvptOSDuIkzlzIp5UJPr9nZL7cvvs+zHZM0B3VImRvP+SR157NvO2AynJI5v1w5nZbeBqrwFItF2Xmv6/rYCbjH3vtFb3g3BxblQNPI000qFzUriiJffpdOp+H1elFdXS1fnEIuyvDwMPx+f8kw8YkidTvA4XQc0+rzUv4xk8nIJ5P8M8o2TAblkujlUCwWkc1m5etLA4GAHJQohCiZUBkonRfB7nA4nYaWSLOvZI6MuYnjeWFKm5n3AYz3p55rFhi+DUXGvJGb+l75MBWe4rMbHE5LYanwms0FBRfZbLakUdrr9cLn80nfiXypiaJUHmhQCZQHGeYEOWkIHlwAYxF2JpORY7yIYLuOpDgfTmnC58uZU8vzvNxc8P5Tc9TM/aHJmC9g4gYQDh5Z8/o6b+czp3Xs7DZMxKl59IN5vcuRU8vfSUGTDwNANptFPB6Xb2UnTFT35tEtJ5669nngQiYLKJ1+nm4GPf18P9RJZZ5wxK69DeU4zefz8kXivKrF+wmAUqG8XDi1TMXwKTApEqU+01QqVVIepid4ogszJ8t50ED74NvyJ5+2JQIn6oDi52LXoG0iTsuV3KkkS8JqxuXA6bS4DfyppFG65vJhOdeBL+e/0Y3hyW9OTLnGHzOBdON1XZezLZIvx2cftxvMPJHQ0eQewPj1lgvM+H5oXaAyOZ2WKU7phMtpXh4Zm/0y7lvx71SzJxPHbwBvQqFtaD2al4ACHV3XkU6npbZxu8ffSUFT+9sJ5TjN5XJIJBJIJBLyOuh6iVOXyyWjf9qPmeNK5NTSu8OJJvNlNisTEUMo96SaA5Jy7Xfm9ek43ISSKeRpHfMNsRvOxik36+ag6VyoRE4tnXSEUmB8Egqz75PJZNDb2wvDMFBXV4doNFrSVE0oJ9Q8rUPam5NJ6SHDMJBMJjEwMIBkMinLpUQy37+dh75zTsn3JVPPtWkmk0FfXx8Mw0B9fT2qq6tLhvlzcCVC2pOyQZxTgp04tVx4zbOnmH2wbDaLgYEBuFwuRCIROcMg18bAmd1JnGg+7ISDAkF6V0M8Hsfo6KgslVI0zRP3PAixm+Y1c8qnZ5qI06qqqpKGccMofdeGOTVGzTW8WmcWXrtwapnw0tRDNBCQZnAxD5NOpVI4cuQIkskkamtrMXv27LETY3O5lvOBqa5PkTKPevlfOo+TJ0/i2LFjGBgYgGEY8qabfW07a94L5XTWrFlSkwKlQbA5K0DCbeZUCCEfFrtwapnwUv6R6uwAZF8p7/fs7e3F7t27UVVVhZqaGixZsgRCiJI38pifVtI8RCJ/jSkAmSIiokdGRvDGG2/g9ddfl2/HoVEGmqbJKJiCR17ytBPMnAohZHA0EafV1dVYtGgRhBByEmqzb0sZAU3TZNDF534A7MmpZcJLM2fTqFSXyyVLmLxFT9d1DAwMIJvNIpFIIJ1OAzjT3+Xg6Rxurgh0Q4j80dFRDA0NYWBgoGQ/5J9RMzeZTO6K2AkXw+lE+V4SYs4pKQZ+D+zIqWXCe/z4cXR3d8Pr9cLv98Pr9WJgYABHjx6VE7Rx6LqOV199FadOnUI4HMbs2bPlGKlgMFjiOtCTDYyTTzMjUotgoVDA6dOn0d/fj0QigQ8//LDkeLlcDocOHcLAwACqqqrwzjvvQFVVDA8PY3R0FCdPnjzjHC81LoTTf/3rXxgYGLhgTjOZjNT4duNUEZN8FM5X3ZfL13K/bCItoCgKGhoa0NHRgWg0irq6OtTU1JQk3HmwQqVSmuA4m83KVzodPnwY77zzzhnzkpnPkV5yB6DkfWL8jednw4VqEztwSp9ynNLE0cRpMpm0FaeWad5yaZlzgcwUmSz+oWDCnF/keWLzd/KFzdUh8zmSv0zBX7mbYgdMNadAaRHCzCNPf/H8rV04nbTmdeDAbrBfPsiBg0nCEV4HFQtHeB1ULBzhdVCxcITXQcXCEV4HFQtHeB1ULBzhdVCxcITXQcXi/wCuj10nXJQJMAAAAABJRU5ErkJggg==\n", 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\n", "text/plain": [ "
" ] @@ -2800,10 +2562,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.042003Z", - "iopub.status.busy": "2023-11-02T15:15:43.041266Z", - "iopub.status.idle": "2023-11-02T15:15:43.063535Z", - "shell.execute_reply": "2023-11-02T15:15:43.062613Z" + "iopub.execute_input": "2023-11-04T09:20:59.901332Z", + "iopub.status.busy": "2023-11-04T09:20:59.900984Z", + "iopub.status.idle": "2023-11-04T09:20:59.912996Z", + "shell.execute_reply": "2023-11-04T09:20:59.912397Z" } }, "outputs": [ @@ -2931,10 +2693,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.068144Z", - "iopub.status.busy": "2023-11-02T15:15:43.067582Z", - "iopub.status.idle": "2023-11-02T15:15:43.075702Z", - "shell.execute_reply": "2023-11-02T15:15:43.074794Z" + "iopub.execute_input": "2023-11-04T09:20:59.916394Z", + "iopub.status.busy": "2023-11-04T09:20:59.916056Z", + "iopub.status.idle": "2023-11-04T09:20:59.923233Z", + "shell.execute_reply": "2023-11-04T09:20:59.922675Z" }, "nbsphinx": "hidden" }, @@ -2971,10 +2733,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.079865Z", - "iopub.status.busy": "2023-11-02T15:15:43.079197Z", - "iopub.status.idle": "2023-11-02T15:15:43.409874Z", - "shell.execute_reply": "2023-11-02T15:15:43.408809Z" + "iopub.execute_input": "2023-11-04T09:20:59.925742Z", + "iopub.status.busy": "2023-11-04T09:20:59.925490Z", + "iopub.status.idle": "2023-11-04T09:21:00.125081Z", + "shell.execute_reply": "2023-11-04T09:21:00.124497Z" } }, "outputs": [ @@ -3016,10 +2778,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.414736Z", - "iopub.status.busy": "2023-11-02T15:15:43.413716Z", - "iopub.status.idle": "2023-11-02T15:15:43.427617Z", - "shell.execute_reply": "2023-11-02T15:15:43.426636Z" + "iopub.execute_input": "2023-11-04T09:21:00.127777Z", + "iopub.status.busy": "2023-11-04T09:21:00.127410Z", + "iopub.status.idle": "2023-11-04T09:21:00.135726Z", + "shell.execute_reply": "2023-11-04T09:21:00.135225Z" } }, "outputs": [ @@ -3044,47 +2806,47 @@ " \n", " \n", " \n", - " is_low_information_issue\n", " low_information_score\n", + " is_low_information_issue\n", " \n", " \n", " \n", " \n", " 53050\n", - " True\n", " 0.067975\n", + " True\n", " \n", " \n", " 40875\n", - " True\n", " 0.089929\n", + " True\n", " \n", " \n", " 9594\n", - " True\n", " 0.092601\n", + " True\n", " \n", " \n", " 34825\n", - " True\n", " 0.107744\n", + " True\n", " \n", " \n", " 37530\n", - " True\n", " 0.108516\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " is_low_information_issue low_information_score\n", - "53050 True 0.067975\n", - "40875 True 0.089929\n", - "9594 True 0.092601\n", - "34825 True 0.107744\n", - "37530 True 0.108516" + " low_information_score is_low_information_issue\n", + "53050 0.067975 True\n", + "40875 0.089929 True\n", + "9594 0.092601 True\n", + "34825 0.107744 True\n", + "37530 0.108516 True" ] }, "execution_count": 29, @@ -3105,10 +2867,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:43.431554Z", - 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"fe6e299677474b5db54e378feb494bd4": { + "fe602eb6950c4adb8193e1b4d6cb1670": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", - "model_name": "HTMLModel", + "model_name": "HBoxModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "1.5.0", - "_model_name": "HTMLModel", + "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", - "_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_97b5a1af5d93477f8c14662092693155", - "placeholder": "​", - "style": "IPY_MODEL_ed50ad1dd46f489798d7b9e8cf22f305", - "value": "Downloading readme: 100%" + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_daf90e236faa41c0922e212140e77826", + "IPY_MODEL_26a56455075e410a8500d528a01214da", + "IPY_MODEL_736c417bd25f4e20bde338512436ced7" + ], + "layout": "IPY_MODEL_d706f2f9b57f4381a09209864a913ca5" } }, - "feba6d70d1f54daba5f2b892640f3ac6": { + "ffb9563a9f2e447ead263097568bc49d": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -7930,7 +7708,7 @@ "width": null } }, - "ffd120466aa9408d93784aa48cb4312c": { + "ffc51b71be434d6499331e6c7f2709d4": { "model_module": "@jupyter-widgets/controls", "model_module_version": "1.5.0", "model_name": "HTMLModel", @@ -7945,26 +7723,10 @@ "_view_name": "HTMLView", "description": "", "description_tooltip": null, - "layout": "IPY_MODEL_1b62c4a2a7fa4cd48cf790f910023cad", + "layout": "IPY_MODEL_a8505ed4316d463cb93e002611334bca", "placeholder": "​", - "style": "IPY_MODEL_1b15dd21c7454f82a7e3b1aade1337a5", - "value": "Downloading data: 100%" - } - }, - "fffd6541a6714298bda7704e8ca87ab6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" + "style": "IPY_MODEL_559d94ee3b454e26afb08fa107d536d8", + "value": " 26.4M/26.4M [00:00<00:00, 115MB/s]" } } }, diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb index 2a57c2348..4c9b8d038 100644 --- a/master/tutorials/indepth_overview.ipynb +++ b/master/tutorials/indepth_overview.ipynb @@ -53,10 +53,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:50.076934Z", - "iopub.status.busy": "2023-11-02T15:15:50.076608Z", - "iopub.status.idle": "2023-11-02T15:15:51.959838Z", - "shell.execute_reply": "2023-11-02T15:15:51.958366Z" + "iopub.execute_input": "2023-11-04T09:21:05.973237Z", + "iopub.status.busy": "2023-11-04T09:21:05.973042Z", + "iopub.status.idle": "2023-11-04T09:21:07.004958Z", + "shell.execute_reply": "2023-11-04T09:21:07.004368Z" }, "nbsphinx": "hidden" }, @@ -68,7 +68,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -95,10 +95,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:51.964615Z", - "iopub.status.busy": "2023-11-02T15:15:51.964073Z", - "iopub.status.idle": "2023-11-02T15:15:52.440669Z", - "shell.execute_reply": "2023-11-02T15:15:52.439559Z" + "iopub.execute_input": "2023-11-04T09:21:07.007607Z", + "iopub.status.busy": "2023-11-04T09:21:07.007341Z", + "iopub.status.idle": "2023-11-04T09:21:07.274232Z", + "shell.execute_reply": "2023-11-04T09:21:07.273590Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.445757Z", - "iopub.status.busy": "2023-11-02T15:15:52.445377Z", - "iopub.status.idle": "2023-11-02T15:15:52.466633Z", - "shell.execute_reply": "2023-11-02T15:15:52.465415Z" + "iopub.execute_input": "2023-11-04T09:21:07.277243Z", + "iopub.status.busy": "2023-11-04T09:21:07.276981Z", + "iopub.status.idle": "2023-11-04T09:21:07.289260Z", + "shell.execute_reply": "2023-11-04T09:21:07.288763Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.471098Z", - "iopub.status.busy": "2023-11-02T15:15:52.470786Z", - "iopub.status.idle": "2023-11-02T15:15:52.866752Z", - "shell.execute_reply": "2023-11-02T15:15:52.865827Z" + "iopub.execute_input": "2023-11-04T09:21:07.291448Z", + "iopub.status.busy": "2023-11-04T09:21:07.291245Z", + "iopub.status.idle": "2023-11-04T09:21:07.524446Z", + "shell.execute_reply": "2023-11-04T09:21:07.523793Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.871309Z", - "iopub.status.busy": "2023-11-02T15:15:52.870894Z", - "iopub.status.idle": "2023-11-02T15:15:52.924852Z", - "shell.execute_reply": "2023-11-02T15:15:52.923703Z" + "iopub.execute_input": "2023-11-04T09:21:07.526959Z", + "iopub.status.busy": "2023-11-04T09:21:07.526749Z", + "iopub.status.idle": "2023-11-04T09:21:07.553849Z", + "shell.execute_reply": "2023-11-04T09:21:07.553313Z" } }, "outputs": [], @@ -427,10 +427,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:52.930641Z", - "iopub.status.busy": "2023-11-02T15:15:52.930283Z", - "iopub.status.idle": "2023-11-02T15:15:55.351474Z", - "shell.execute_reply": "2023-11-02T15:15:55.350167Z" + "iopub.execute_input": "2023-11-04T09:21:07.556150Z", + "iopub.status.busy": "2023-11-04T09:21:07.555953Z", + "iopub.status.idle": "2023-11-04T09:21:08.855565Z", + "shell.execute_reply": "2023-11-04T09:21:08.854845Z" } }, "outputs": [ @@ -471,10 +471,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:55.357720Z", - "iopub.status.busy": "2023-11-02T15:15:55.356363Z", - "iopub.status.idle": "2023-11-02T15:15:55.399564Z", - "shell.execute_reply": "2023-11-02T15:15:55.398628Z" + "iopub.execute_input": "2023-11-04T09:21:08.858593Z", + "iopub.status.busy": "2023-11-04T09:21:08.858046Z", + "iopub.status.idle": "2023-11-04T09:21:08.875057Z", + "shell.execute_reply": "2023-11-04T09:21:08.874421Z" }, "scrolled": true }, @@ -599,10 +599,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:55.404394Z", - "iopub.status.busy": "2023-11-02T15:15:55.403817Z", - "iopub.status.idle": "2023-11-02T15:15:57.155524Z", - "shell.execute_reply": "2023-11-02T15:15:57.153900Z" + "iopub.execute_input": "2023-11-04T09:21:08.877460Z", + "iopub.status.busy": "2023-11-04T09:21:08.877078Z", + "iopub.status.idle": "2023-11-04T09:21:09.756163Z", + "shell.execute_reply": "2023-11-04T09:21:09.755465Z" }, "id": "AaHC5MRKjruT" }, @@ -721,10 +721,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.160920Z", - "iopub.status.busy": "2023-11-02T15:15:57.160109Z", - "iopub.status.idle": "2023-11-02T15:15:57.188012Z", - "shell.execute_reply": "2023-11-02T15:15:57.186914Z" + "iopub.execute_input": "2023-11-04T09:21:09.759003Z", + "iopub.status.busy": "2023-11-04T09:21:09.758483Z", + "iopub.status.idle": "2023-11-04T09:21:09.772803Z", + "shell.execute_reply": "2023-11-04T09:21:09.772262Z" }, "id": "Wy27rvyhjruU" }, @@ -773,10 +773,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.192920Z", - "iopub.status.busy": "2023-11-02T15:15:57.192426Z", - "iopub.status.idle": "2023-11-02T15:15:57.345895Z", - "shell.execute_reply": "2023-11-02T15:15:57.344707Z" + "iopub.execute_input": "2023-11-04T09:21:09.775362Z", + "iopub.status.busy": "2023-11-04T09:21:09.774896Z", + "iopub.status.idle": "2023-11-04T09:21:09.856549Z", + "shell.execute_reply": "2023-11-04T09:21:09.855846Z" }, "id": "Db8YHnyVjruU" }, @@ -883,10 +883,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.350993Z", - "iopub.status.busy": "2023-11-02T15:15:57.350140Z", - "iopub.status.idle": "2023-11-02T15:15:57.680661Z", - "shell.execute_reply": "2023-11-02T15:15:57.679683Z" + "iopub.execute_input": "2023-11-04T09:21:09.859455Z", + "iopub.status.busy": "2023-11-04T09:21:09.859138Z", + "iopub.status.idle": "2023-11-04T09:21:10.061506Z", + "shell.execute_reply": "2023-11-04T09:21:10.060865Z" }, "id": "iJqAHuS2jruV" }, @@ -923,10 +923,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.685588Z", - "iopub.status.busy": "2023-11-02T15:15:57.685200Z", - "iopub.status.idle": "2023-11-02T15:15:57.721756Z", - "shell.execute_reply": "2023-11-02T15:15:57.720702Z" + "iopub.execute_input": "2023-11-04T09:21:10.064310Z", + "iopub.status.busy": "2023-11-04T09:21:10.063840Z", + "iopub.status.idle": "2023-11-04T09:21:10.081054Z", + "shell.execute_reply": "2023-11-04T09:21:10.080559Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -988,10 +988,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.726378Z", - "iopub.status.busy": "2023-11-02T15:15:57.726002Z", - "iopub.status.idle": "2023-11-02T15:15:57.747437Z", - "shell.execute_reply": "2023-11-02T15:15:57.746440Z" + "iopub.execute_input": "2023-11-04T09:21:10.083399Z", + "iopub.status.busy": "2023-11-04T09:21:10.083200Z", + "iopub.status.idle": "2023-11-04T09:21:10.093511Z", + "shell.execute_reply": "2023-11-04T09:21:10.093027Z" }, "id": "0lonvOYvjruV" }, @@ -1138,10 +1138,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.752527Z", - "iopub.status.busy": "2023-11-02T15:15:57.751917Z", - "iopub.status.idle": "2023-11-02T15:15:57.919362Z", - "shell.execute_reply": "2023-11-02T15:15:57.918041Z" + "iopub.execute_input": "2023-11-04T09:21:10.095900Z", + "iopub.status.busy": "2023-11-04T09:21:10.095537Z", + "iopub.status.idle": "2023-11-04T09:21:10.194540Z", + "shell.execute_reply": "2023-11-04T09:21:10.193805Z" }, "id": "MfqTCa3kjruV" }, @@ -1222,10 +1222,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:57.926723Z", - "iopub.status.busy": "2023-11-02T15:15:57.926280Z", - "iopub.status.idle": "2023-11-02T15:15:58.203808Z", - "shell.execute_reply": "2023-11-02T15:15:58.202338Z" + "iopub.execute_input": "2023-11-04T09:21:10.197452Z", + "iopub.status.busy": "2023-11-04T09:21:10.196961Z", + "iopub.status.idle": "2023-11-04T09:21:10.339452Z", + "shell.execute_reply": "2023-11-04T09:21:10.338757Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1285,10 +1285,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.210095Z", - "iopub.status.busy": "2023-11-02T15:15:58.209694Z", - "iopub.status.idle": "2023-11-02T15:15:58.216560Z", - "shell.execute_reply": "2023-11-02T15:15:58.215685Z" + "iopub.execute_input": "2023-11-04T09:21:10.342254Z", + "iopub.status.busy": "2023-11-04T09:21:10.341935Z", + "iopub.status.idle": "2023-11-04T09:21:10.345872Z", + "shell.execute_reply": "2023-11-04T09:21:10.345221Z" }, "id": "0rXP3ZPWjruW" }, @@ -1326,10 +1326,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.221394Z", - "iopub.status.busy": "2023-11-02T15:15:58.220957Z", - "iopub.status.idle": "2023-11-02T15:15:58.230369Z", - "shell.execute_reply": "2023-11-02T15:15:58.229182Z" + "iopub.execute_input": "2023-11-04T09:21:10.348453Z", + "iopub.status.busy": "2023-11-04T09:21:10.348084Z", + "iopub.status.idle": "2023-11-04T09:21:10.352509Z", + "shell.execute_reply": "2023-11-04T09:21:10.351961Z" }, "id": "-iRPe8KXjruW" }, @@ -1384,10 +1384,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.234828Z", - "iopub.status.busy": "2023-11-02T15:15:58.234400Z", - "iopub.status.idle": "2023-11-02T15:15:58.317870Z", - "shell.execute_reply": "2023-11-02T15:15:58.316817Z" + "iopub.execute_input": "2023-11-04T09:21:10.355014Z", + "iopub.status.busy": "2023-11-04T09:21:10.354652Z", + "iopub.status.idle": "2023-11-04T09:21:10.394876Z", + "shell.execute_reply": "2023-11-04T09:21:10.394226Z" }, "id": "ZpipUliyjruW" }, @@ -1438,10 +1438,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.323285Z", - "iopub.status.busy": "2023-11-02T15:15:58.322716Z", - "iopub.status.idle": "2023-11-02T15:15:58.421165Z", - "shell.execute_reply": "2023-11-02T15:15:58.419972Z" + "iopub.execute_input": "2023-11-04T09:21:10.397359Z", + "iopub.status.busy": "2023-11-04T09:21:10.397004Z", + "iopub.status.idle": "2023-11-04T09:21:10.445078Z", + "shell.execute_reply": "2023-11-04T09:21:10.444533Z" }, "id": "SLq-3q4xjruX" }, @@ -1462,13 +1462,7 @@ "\n", "\n", " Noise Matrix (aka Noisy Channel) P(given_label|true_label) of shape (4, 4)\n", - " p(s|y)\ty=0\ty=1\ty=2\ty=3\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ + " p(s|y)\ty=0\ty=1\ty=2\ty=3\n", "\t---\t---\t---\t---\n", "s=0 |\t0.76\t0.0\t0.15\t0.14\n", "s=1 |\t0.06\t0.92\t0.06\t0.0\n", @@ -1516,10 +1510,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.425576Z", - "iopub.status.busy": "2023-11-02T15:15:58.424941Z", - "iopub.status.idle": "2023-11-02T15:15:58.591569Z", - "shell.execute_reply": "2023-11-02T15:15:58.589907Z" + "iopub.execute_input": "2023-11-04T09:21:10.447501Z", + "iopub.status.busy": "2023-11-04T09:21:10.447059Z", + "iopub.status.idle": "2023-11-04T09:21:10.553777Z", + "shell.execute_reply": "2023-11-04T09:21:10.553071Z" }, "id": "g5LHhhuqFbXK" }, @@ -1551,10 +1545,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.596729Z", - "iopub.status.busy": "2023-11-02T15:15:58.596215Z", - "iopub.status.idle": "2023-11-02T15:15:58.775916Z", - "shell.execute_reply": "2023-11-02T15:15:58.774429Z" + "iopub.execute_input": "2023-11-04T09:21:10.556971Z", + "iopub.status.busy": "2023-11-04T09:21:10.556454Z", + "iopub.status.idle": "2023-11-04T09:21:10.660442Z", + "shell.execute_reply": "2023-11-04T09:21:10.659717Z" }, "id": "p7w8F8ezBcet" }, @@ -1611,10 +1605,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:58.781830Z", - "iopub.status.busy": "2023-11-02T15:15:58.781422Z", - "iopub.status.idle": "2023-11-02T15:15:59.131735Z", - "shell.execute_reply": "2023-11-02T15:15:59.130558Z" + "iopub.execute_input": "2023-11-04T09:21:10.663430Z", + "iopub.status.busy": "2023-11-04T09:21:10.663004Z", + "iopub.status.idle": "2023-11-04T09:21:10.865957Z", + "shell.execute_reply": "2023-11-04T09:21:10.865357Z" }, "id": "WETRL74tE_sU" }, @@ -1649,10 +1643,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.137015Z", - "iopub.status.busy": "2023-11-02T15:15:59.136429Z", - "iopub.status.idle": "2023-11-02T15:15:59.500836Z", - "shell.execute_reply": "2023-11-02T15:15:59.499499Z" + "iopub.execute_input": "2023-11-04T09:21:10.868729Z", + "iopub.status.busy": "2023-11-04T09:21:10.868174Z", + "iopub.status.idle": "2023-11-04T09:21:11.081753Z", + "shell.execute_reply": "2023-11-04T09:21:11.081068Z" }, "id": "kCfdx2gOLmXS" }, @@ -1814,10 +1808,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.506258Z", - "iopub.status.busy": "2023-11-02T15:15:59.505387Z", - "iopub.status.idle": "2023-11-02T15:15:59.518360Z", - "shell.execute_reply": "2023-11-02T15:15:59.516928Z" + "iopub.execute_input": "2023-11-04T09:21:11.084422Z", + "iopub.status.busy": "2023-11-04T09:21:11.084171Z", + "iopub.status.idle": "2023-11-04T09:21:11.090978Z", + "shell.execute_reply": "2023-11-04T09:21:11.090391Z" }, "id": "-uogYRWFYnuu" }, @@ -1871,10 +1865,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.523331Z", - "iopub.status.busy": "2023-11-02T15:15:59.522610Z", - "iopub.status.idle": "2023-11-02T15:15:59.882143Z", - "shell.execute_reply": "2023-11-02T15:15:59.881131Z" + "iopub.execute_input": "2023-11-04T09:21:11.093448Z", + "iopub.status.busy": "2023-11-04T09:21:11.092993Z", + "iopub.status.idle": "2023-11-04T09:21:11.311419Z", + "shell.execute_reply": "2023-11-04T09:21:11.310713Z" }, "id": "pG-ljrmcYp9Q" }, @@ -1921,10 +1915,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:15:59.886969Z", - "iopub.status.busy": "2023-11-02T15:15:59.886374Z", - "iopub.status.idle": "2023-11-02T15:16:02.103520Z", - "shell.execute_reply": "2023-11-02T15:16:02.102244Z" + "iopub.execute_input": "2023-11-04T09:21:11.314187Z", + "iopub.status.busy": "2023-11-04T09:21:11.313830Z", + "iopub.status.idle": "2023-11-04T09:21:12.374953Z", + "shell.execute_reply": "2023-11-04T09:21:12.374232Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb index a5bad1bde..a182817b6 100644 --- a/master/tutorials/multiannotator.ipynb +++ b/master/tutorials/multiannotator.ipynb @@ -89,10 +89,10 @@ "id": "a3ddc95f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:08.260336Z", - "iopub.status.busy": "2023-11-02T15:16:08.259986Z", - "iopub.status.idle": "2023-11-02T15:16:10.014087Z", - "shell.execute_reply": "2023-11-02T15:16:10.012937Z" + "iopub.execute_input": "2023-11-04T09:21:18.171864Z", + "iopub.status.busy": "2023-11-04T09:21:18.171672Z", + "iopub.status.idle": "2023-11-04T09:21:19.173197Z", + "shell.execute_reply": "2023-11-04T09:21:19.172500Z" }, "nbsphinx": "hidden" }, @@ -102,7 +102,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -136,10 +136,10 @@ "id": "c4efd119", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.019512Z", - "iopub.status.busy": "2023-11-02T15:16:10.018596Z", - "iopub.status.idle": "2023-11-02T15:16:10.024194Z", - "shell.execute_reply": "2023-11-02T15:16:10.023041Z" + "iopub.execute_input": "2023-11-04T09:21:19.176270Z", + "iopub.status.busy": "2023-11-04T09:21:19.175883Z", + "iopub.status.idle": "2023-11-04T09:21:19.179377Z", + "shell.execute_reply": "2023-11-04T09:21:19.178773Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.028764Z", - "iopub.status.busy": "2023-11-02T15:16:10.028387Z", - "iopub.status.idle": "2023-11-02T15:16:10.044189Z", - "shell.execute_reply": "2023-11-02T15:16:10.043058Z" + "iopub.execute_input": "2023-11-04T09:21:19.181870Z", + "iopub.status.busy": "2023-11-04T09:21:19.181485Z", + "iopub.status.idle": "2023-11-04T09:21:19.190837Z", + "shell.execute_reply": "2023-11-04T09:21:19.190210Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.048046Z", - "iopub.status.busy": "2023-11-02T15:16:10.047727Z", - "iopub.status.idle": "2023-11-02T15:16:10.160423Z", - "shell.execute_reply": "2023-11-02T15:16:10.159259Z" + "iopub.execute_input": "2023-11-04T09:21:19.193291Z", + "iopub.status.busy": "2023-11-04T09:21:19.192820Z", + "iopub.status.idle": "2023-11-04T09:21:19.241206Z", + "shell.execute_reply": "2023-11-04T09:21:19.240501Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.165107Z", - "iopub.status.busy": "2023-11-02T15:16:10.164753Z", - "iopub.status.idle": "2023-11-02T15:16:10.202210Z", - "shell.execute_reply": "2023-11-02T15:16:10.201137Z" + "iopub.execute_input": "2023-11-04T09:21:19.244183Z", + "iopub.status.busy": "2023-11-04T09:21:19.243928Z", + "iopub.status.idle": "2023-11-04T09:21:19.263512Z", + "shell.execute_reply": "2023-11-04T09:21:19.262914Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.207198Z", - "iopub.status.busy": "2023-11-02T15:16:10.206799Z", - "iopub.status.idle": "2023-11-02T15:16:10.213646Z", - "shell.execute_reply": "2023-11-02T15:16:10.212633Z" + "iopub.execute_input": "2023-11-04T09:21:19.266097Z", + "iopub.status.busy": "2023-11-04T09:21:19.265795Z", + "iopub.status.idle": "2023-11-04T09:21:19.270060Z", + "shell.execute_reply": "2023-11-04T09:21:19.269386Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.219815Z", - "iopub.status.busy": "2023-11-02T15:16:10.219102Z", - "iopub.status.idle": "2023-11-02T15:16:10.277905Z", - "shell.execute_reply": "2023-11-02T15:16:10.276680Z" + "iopub.execute_input": "2023-11-04T09:21:19.272815Z", + "iopub.status.busy": "2023-11-04T09:21:19.272395Z", + "iopub.status.idle": "2023-11-04T09:21:19.301227Z", + "shell.execute_reply": "2023-11-04T09:21:19.300697Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.282667Z", - "iopub.status.busy": "2023-11-02T15:16:10.282265Z", - "iopub.status.idle": "2023-11-02T15:16:10.340680Z", - "shell.execute_reply": "2023-11-02T15:16:10.339529Z" + "iopub.execute_input": "2023-11-04T09:21:19.303818Z", + "iopub.status.busy": "2023-11-04T09:21:19.303429Z", + "iopub.status.idle": "2023-11-04T09:21:19.330467Z", + "shell.execute_reply": "2023-11-04T09:21:19.329937Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:10.345490Z", - "iopub.status.busy": "2023-11-02T15:16:10.345171Z", - "iopub.status.idle": "2023-11-02T15:16:12.875032Z", - "shell.execute_reply": "2023-11-02T15:16:12.873964Z" + "iopub.execute_input": "2023-11-04T09:21:19.333088Z", + "iopub.status.busy": "2023-11-04T09:21:19.332711Z", + "iopub.status.idle": "2023-11-04T09:21:20.666514Z", + "shell.execute_reply": "2023-11-04T09:21:20.665859Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.880246Z", - "iopub.status.busy": "2023-11-02T15:16:12.879335Z", - "iopub.status.idle": "2023-11-02T15:16:12.892666Z", - "shell.execute_reply": "2023-11-02T15:16:12.891506Z" + "iopub.execute_input": "2023-11-04T09:21:20.669978Z", + "iopub.status.busy": "2023-11-04T09:21:20.669281Z", + "iopub.status.idle": "2023-11-04T09:21:20.677286Z", + "shell.execute_reply": "2023-11-04T09:21:20.676612Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.898089Z", - "iopub.status.busy": "2023-11-02T15:16:12.897695Z", - "iopub.status.idle": "2023-11-02T15:16:12.922715Z", - "shell.execute_reply": "2023-11-02T15:16:12.921743Z" + "iopub.execute_input": "2023-11-04T09:21:20.680259Z", + "iopub.status.busy": "2023-11-04T09:21:20.679674Z", + "iopub.status.idle": "2023-11-04T09:21:20.694418Z", + "shell.execute_reply": "2023-11-04T09:21:20.693842Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.926501Z", - "iopub.status.busy": "2023-11-02T15:16:12.926196Z", - "iopub.status.idle": "2023-11-02T15:16:12.939820Z", - "shell.execute_reply": "2023-11-02T15:16:12.937801Z" + "iopub.execute_input": "2023-11-04T09:21:20.696918Z", + "iopub.status.busy": "2023-11-04T09:21:20.696565Z", + "iopub.status.idle": "2023-11-04T09:21:20.703526Z", + "shell.execute_reply": "2023-11-04T09:21:20.702954Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.944111Z", - "iopub.status.busy": "2023-11-02T15:16:12.943753Z", - "iopub.status.idle": "2023-11-02T15:16:12.948820Z", - "shell.execute_reply": "2023-11-02T15:16:12.947790Z" + "iopub.execute_input": "2023-11-04T09:21:20.705996Z", + "iopub.status.busy": "2023-11-04T09:21:20.705748Z", + "iopub.status.idle": "2023-11-04T09:21:20.708844Z", + "shell.execute_reply": "2023-11-04T09:21:20.708245Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.952843Z", - "iopub.status.busy": "2023-11-02T15:16:12.952502Z", - "iopub.status.idle": "2023-11-02T15:16:12.959523Z", - "shell.execute_reply": "2023-11-02T15:16:12.958276Z" + "iopub.execute_input": "2023-11-04T09:21:20.711409Z", + "iopub.status.busy": "2023-11-04T09:21:20.711210Z", + "iopub.status.idle": "2023-11-04T09:21:20.715384Z", + "shell.execute_reply": "2023-11-04T09:21:20.714753Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.964802Z", - "iopub.status.busy": "2023-11-02T15:16:12.964451Z", - "iopub.status.idle": "2023-11-02T15:16:12.969013Z", - "shell.execute_reply": "2023-11-02T15:16:12.968037Z" + "iopub.execute_input": "2023-11-04T09:21:20.717858Z", + "iopub.status.busy": "2023-11-04T09:21:20.717458Z", + "iopub.status.idle": "2023-11-04T09:21:20.720920Z", + "shell.execute_reply": "2023-11-04T09:21:20.720434Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.980844Z", - "iopub.status.busy": "2023-11-02T15:16:12.979008Z", - "iopub.status.idle": "2023-11-02T15:16:12.989986Z", - "shell.execute_reply": "2023-11-02T15:16:12.988910Z" + "iopub.execute_input": "2023-11-04T09:21:20.723228Z", + "iopub.status.busy": "2023-11-04T09:21:20.722933Z", + "iopub.status.idle": "2023-11-04T09:21:20.727805Z", + "shell.execute_reply": "2023-11-04T09:21:20.727267Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:12.995976Z", - "iopub.status.busy": "2023-11-02T15:16:12.994591Z", - "iopub.status.idle": "2023-11-02T15:16:13.066669Z", - "shell.execute_reply": "2023-11-02T15:16:13.065421Z" + "iopub.execute_input": "2023-11-04T09:21:20.730385Z", + "iopub.status.busy": "2023-11-04T09:21:20.730012Z", + "iopub.status.idle": "2023-11-04T09:21:20.762668Z", + "shell.execute_reply": "2023-11-04T09:21:20.762025Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:13.071750Z", - "iopub.status.busy": "2023-11-02T15:16:13.071260Z", - "iopub.status.idle": "2023-11-02T15:16:13.079810Z", - "shell.execute_reply": "2023-11-02T15:16:13.078603Z" + "iopub.execute_input": "2023-11-04T09:21:20.765515Z", + "iopub.status.busy": "2023-11-04T09:21:20.764994Z", + "iopub.status.idle": "2023-11-04T09:21:20.770319Z", + "shell.execute_reply": "2023-11-04T09:21:20.769694Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb index 34c8989c2..66b4a6932 100644 --- a/master/tutorials/multilabel_classification.ipynb +++ b/master/tutorials/multilabel_classification.ipynb @@ -63,10 +63,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:18.966439Z", - "iopub.status.busy": "2023-11-02T15:16:18.966106Z", - "iopub.status.idle": "2023-11-02T15:16:20.814821Z", - "shell.execute_reply": "2023-11-02T15:16:20.813757Z" + "iopub.execute_input": "2023-11-04T09:21:25.590800Z", + "iopub.status.busy": "2023-11-04T09:21:25.590272Z", + "iopub.status.idle": "2023-11-04T09:21:26.642282Z", + "shell.execute_reply": "2023-11-04T09:21:26.641658Z" }, "nbsphinx": "hidden" }, @@ -78,7 +78,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -104,10 +104,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:20.820437Z", - "iopub.status.busy": "2023-11-02T15:16:20.819648Z", - "iopub.status.idle": "2023-11-02T15:16:21.370040Z", - "shell.execute_reply": "2023-11-02T15:16:21.368875Z" + "iopub.execute_input": "2023-11-04T09:21:26.645149Z", + "iopub.status.busy": "2023-11-04T09:21:26.644694Z", + "iopub.status.idle": "2023-11-04T09:21:26.928998Z", + "shell.execute_reply": "2023-11-04T09:21:26.928381Z" } }, "outputs": [], @@ -269,10 +269,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:21.375149Z", - "iopub.status.busy": "2023-11-02T15:16:21.374736Z", - "iopub.status.idle": "2023-11-02T15:16:21.399929Z", - "shell.execute_reply": "2023-11-02T15:16:21.398831Z" + "iopub.execute_input": "2023-11-04T09:21:26.932173Z", + "iopub.status.busy": "2023-11-04T09:21:26.931729Z", + "iopub.status.idle": "2023-11-04T09:21:26.946021Z", + "shell.execute_reply": "2023-11-04T09:21:26.945486Z" }, "nbsphinx": "hidden" }, @@ -408,10 +408,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:21.404239Z", - "iopub.status.busy": "2023-11-02T15:16:21.403724Z", - "iopub.status.idle": "2023-11-02T15:16:26.691118Z", - "shell.execute_reply": "2023-11-02T15:16:26.690103Z" + "iopub.execute_input": "2023-11-04T09:21:26.948534Z", + "iopub.status.busy": "2023-11-04T09:21:26.948092Z", + "iopub.status.idle": "2023-11-04T09:21:29.586248Z", + "shell.execute_reply": "2023-11-04T09:21:29.585519Z" } }, "outputs": [ @@ -453,10 +453,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:26.695818Z", - "iopub.status.busy": "2023-11-02T15:16:26.695434Z", - "iopub.status.idle": "2023-11-02T15:16:29.720322Z", - "shell.execute_reply": "2023-11-02T15:16:29.719085Z" + "iopub.execute_input": "2023-11-04T09:21:29.589342Z", + "iopub.status.busy": "2023-11-04T09:21:29.588814Z", + "iopub.status.idle": "2023-11-04T09:21:31.123982Z", + "shell.execute_reply": "2023-11-04T09:21:31.123375Z" } }, "outputs": [], @@ -498,10 +498,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:29.725465Z", - "iopub.status.busy": "2023-11-02T15:16:29.724662Z", - "iopub.status.idle": "2023-11-02T15:16:29.744941Z", - "shell.execute_reply": "2023-11-02T15:16:29.743775Z" + "iopub.execute_input": "2023-11-04T09:21:31.126914Z", + "iopub.status.busy": "2023-11-04T09:21:31.126519Z", + "iopub.status.idle": "2023-11-04T09:21:31.143779Z", + "shell.execute_reply": "2023-11-04T09:21:31.143259Z" } }, "outputs": [ @@ -543,10 +543,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:29.748857Z", - "iopub.status.busy": "2023-11-02T15:16:29.748500Z", - "iopub.status.idle": "2023-11-02T15:16:32.216115Z", - "shell.execute_reply": "2023-11-02T15:16:32.214068Z" + "iopub.execute_input": "2023-11-04T09:21:31.146265Z", + "iopub.status.busy": "2023-11-04T09:21:31.145963Z", + "iopub.status.idle": "2023-11-04T09:21:32.459675Z", + "shell.execute_reply": "2023-11-04T09:21:32.458895Z" } }, "outputs": [ @@ -584,10 +584,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:32.221724Z", - "iopub.status.busy": "2023-11-02T15:16:32.220226Z", - "iopub.status.idle": "2023-11-02T15:16:37.821810Z", - "shell.execute_reply": "2023-11-02T15:16:37.820832Z" + "iopub.execute_input": "2023-11-04T09:21:32.462599Z", + "iopub.status.busy": "2023-11-04T09:21:32.462011Z", + "iopub.status.idle": "2023-11-04T09:21:35.279336Z", + "shell.execute_reply": "2023-11-04T09:21:35.278687Z" } }, "outputs": [ @@ -622,10 +622,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.826727Z", - "iopub.status.busy": "2023-11-02T15:16:37.826042Z", - "iopub.status.idle": "2023-11-02T15:16:37.836636Z", - "shell.execute_reply": "2023-11-02T15:16:37.835381Z" + "iopub.execute_input": "2023-11-04T09:21:35.282049Z", + "iopub.status.busy": "2023-11-04T09:21:35.281530Z", + "iopub.status.idle": "2023-11-04T09:21:35.286525Z", + "shell.execute_reply": "2023-11-04T09:21:35.285890Z" } }, "outputs": [ @@ -662,10 +662,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.841496Z", - "iopub.status.busy": "2023-11-02T15:16:37.840738Z", - "iopub.status.idle": "2023-11-02T15:16:37.848770Z", - "shell.execute_reply": "2023-11-02T15:16:37.847782Z" + "iopub.execute_input": "2023-11-04T09:21:35.288688Z", + "iopub.status.busy": "2023-11-04T09:21:35.288481Z", + "iopub.status.idle": "2023-11-04T09:21:35.292633Z", + "shell.execute_reply": "2023-11-04T09:21:35.292078Z" } }, "outputs": [], @@ -688,10 +688,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:37.853119Z", - "iopub.status.busy": "2023-11-02T15:16:37.852470Z", - "iopub.status.idle": "2023-11-02T15:16:37.859797Z", - "shell.execute_reply": "2023-11-02T15:16:37.858709Z" + "iopub.execute_input": "2023-11-04T09:21:35.295093Z", + "iopub.status.busy": "2023-11-04T09:21:35.294715Z", + "iopub.status.idle": "2023-11-04T09:21:35.298072Z", + "shell.execute_reply": "2023-11-04T09:21:35.297484Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb index 5567885b3..64dd8fc1d 100644 --- a/master/tutorials/object_detection.ipynb +++ b/master/tutorials/object_detection.ipynb @@ -70,10 +70,10 @@ "id": "0ba0dc70", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:43.008632Z", - "iopub.status.busy": "2023-11-02T15:16:43.008295Z", - "iopub.status.idle": "2023-11-02T15:16:44.917722Z", - "shell.execute_reply": "2023-11-02T15:16:44.916482Z" + "iopub.execute_input": "2023-11-04T09:21:40.284425Z", + "iopub.status.busy": "2023-11-04T09:21:40.283890Z", + "iopub.status.idle": "2023-11-04T09:21:41.326271Z", + "shell.execute_reply": "2023-11-04T09:21:41.325665Z" }, "nbsphinx": "hidden" }, @@ -83,7 +83,7 @@ "dependencies = [\"cleanlab\", \"matplotlib\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -109,10 +109,10 @@ "id": "c90449c8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:44.923385Z", - "iopub.status.busy": "2023-11-02T15:16:44.922328Z", - "iopub.status.idle": "2023-11-02T15:16:47.899900Z", - "shell.execute_reply": "2023-11-02T15:16:47.898193Z" + "iopub.execute_input": "2023-11-04T09:21:41.329335Z", + "iopub.status.busy": "2023-11-04T09:21:41.328693Z", + "iopub.status.idle": "2023-11-04T09:21:42.796096Z", + "shell.execute_reply": "2023-11-04T09:21:42.795370Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.905514Z", - "iopub.status.busy": "2023-11-02T15:16:47.904896Z", - "iopub.status.idle": "2023-11-02T15:16:47.911481Z", - "shell.execute_reply": "2023-11-02T15:16:47.910505Z" + "iopub.execute_input": "2023-11-04T09:21:42.799236Z", + "iopub.status.busy": "2023-11-04T09:21:42.798826Z", + "iopub.status.idle": "2023-11-04T09:21:42.802270Z", + "shell.execute_reply": "2023-11-04T09:21:42.801614Z" } }, "outputs": [], @@ -165,10 +165,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.915566Z", - "iopub.status.busy": "2023-11-02T15:16:47.915070Z", - "iopub.status.idle": "2023-11-02T15:16:47.925856Z", - "shell.execute_reply": "2023-11-02T15:16:47.924765Z" + "iopub.execute_input": "2023-11-04T09:21:42.804794Z", + "iopub.status.busy": "2023-11-04T09:21:42.804342Z", + "iopub.status.idle": "2023-11-04T09:21:42.810039Z", + "shell.execute_reply": "2023-11-04T09:21:42.809523Z" } }, "outputs": [], @@ -194,10 +194,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:47.929979Z", - "iopub.status.busy": "2023-11-02T15:16:47.929675Z", - "iopub.status.idle": "2023-11-02T15:16:48.914821Z", - "shell.execute_reply": "2023-11-02T15:16:48.913818Z" + "iopub.execute_input": "2023-11-04T09:21:42.812350Z", + "iopub.status.busy": "2023-11-04T09:21:42.812143Z", + "iopub.status.idle": "2023-11-04T09:21:43.431738Z", + "shell.execute_reply": "2023-11-04T09:21:43.431087Z" }, "scrolled": true }, @@ -237,10 +237,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.921007Z", - "iopub.status.busy": "2023-11-02T15:16:48.920180Z", - "iopub.status.idle": "2023-11-02T15:16:48.932694Z", - "shell.execute_reply": "2023-11-02T15:16:48.931266Z" + "iopub.execute_input": "2023-11-04T09:21:43.434628Z", + "iopub.status.busy": "2023-11-04T09:21:43.434383Z", + "iopub.status.idle": "2023-11-04T09:21:43.440512Z", + "shell.execute_reply": "2023-11-04T09:21:43.439985Z" } }, "outputs": [ @@ -492,10 +492,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.937251Z", - "iopub.status.busy": "2023-11-02T15:16:48.936874Z", - "iopub.status.idle": "2023-11-02T15:16:48.943853Z", - "shell.execute_reply": "2023-11-02T15:16:48.942838Z" + "iopub.execute_input": "2023-11-04T09:21:43.442863Z", + "iopub.status.busy": "2023-11-04T09:21:43.442413Z", + "iopub.status.idle": "2023-11-04T09:21:43.446609Z", + "shell.execute_reply": "2023-11-04T09:21:43.445987Z" } }, "outputs": [ @@ -552,10 +552,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:48.948346Z", - "iopub.status.busy": "2023-11-02T15:16:48.947958Z", - "iopub.status.idle": "2023-11-02T15:16:49.924508Z", - "shell.execute_reply": "2023-11-02T15:16:49.923044Z" + "iopub.execute_input": "2023-11-04T09:21:43.448942Z", + "iopub.status.busy": "2023-11-04T09:21:43.448604Z", + "iopub.status.idle": "2023-11-04T09:21:44.074289Z", + "shell.execute_reply": "2023-11-04T09:21:44.073541Z" } }, "outputs": [ @@ -611,10 +611,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:49.930257Z", - "iopub.status.busy": "2023-11-02T15:16:49.929650Z", - "iopub.status.idle": "2023-11-02T15:16:50.102027Z", - "shell.execute_reply": "2023-11-02T15:16:50.100818Z" + "iopub.execute_input": "2023-11-04T09:21:44.076863Z", + "iopub.status.busy": "2023-11-04T09:21:44.076645Z", + "iopub.status.idle": "2023-11-04T09:21:44.168997Z", + "shell.execute_reply": "2023-11-04T09:21:44.168317Z" } }, "outputs": [ @@ -655,10 +655,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.106977Z", - "iopub.status.busy": "2023-11-02T15:16:50.106538Z", - "iopub.status.idle": "2023-11-02T15:16:50.116989Z", - "shell.execute_reply": "2023-11-02T15:16:50.115775Z" + "iopub.execute_input": "2023-11-04T09:21:44.171517Z", + "iopub.status.busy": "2023-11-04T09:21:44.171310Z", + "iopub.status.idle": "2023-11-04T09:21:44.176108Z", + "shell.execute_reply": "2023-11-04T09:21:44.175565Z" } }, "outputs": [ @@ -695,10 +695,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.121708Z", - "iopub.status.busy": "2023-11-02T15:16:50.121315Z", - "iopub.status.idle": "2023-11-02T15:16:50.727187Z", - "shell.execute_reply": "2023-11-02T15:16:50.726232Z" + "iopub.execute_input": "2023-11-04T09:21:44.178455Z", + "iopub.status.busy": "2023-11-04T09:21:44.178104Z", + "iopub.status.idle": "2023-11-04T09:21:44.553030Z", + "shell.execute_reply": "2023-11-04T09:21:44.552347Z" } }, "outputs": [ @@ -757,10 +757,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:50.731975Z", - "iopub.status.busy": "2023-11-02T15:16:50.731399Z", - "iopub.status.idle": "2023-11-02T15:16:51.257454Z", - "shell.execute_reply": "2023-11-02T15:16:51.256406Z" + "iopub.execute_input": "2023-11-04T09:21:44.556460Z", + "iopub.status.busy": "2023-11-04T09:21:44.556063Z", + "iopub.status.idle": "2023-11-04T09:21:44.890588Z", + "shell.execute_reply": "2023-11-04T09:21:44.889922Z" } }, "outputs": [ @@ -807,10 +807,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:51.262629Z", - "iopub.status.busy": "2023-11-02T15:16:51.262021Z", - "iopub.status.idle": "2023-11-02T15:16:51.933274Z", - "shell.execute_reply": "2023-11-02T15:16:51.932377Z" + "iopub.execute_input": "2023-11-04T09:21:44.893789Z", + "iopub.status.busy": "2023-11-04T09:21:44.893348Z", + "iopub.status.idle": "2023-11-04T09:21:45.275927Z", + "shell.execute_reply": "2023-11-04T09:21:45.275276Z" } }, "outputs": [ @@ -857,10 +857,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:51.938388Z", - "iopub.status.busy": "2023-11-02T15:16:51.937872Z", - "iopub.status.idle": "2023-11-02T15:16:52.725775Z", - "shell.execute_reply": "2023-11-02T15:16:52.724383Z" + "iopub.execute_input": "2023-11-04T09:21:45.279277Z", + "iopub.status.busy": "2023-11-04T09:21:45.278881Z", + "iopub.status.idle": "2023-11-04T09:21:45.739514Z", + "shell.execute_reply": "2023-11-04T09:21:45.738868Z" } }, "outputs": [ @@ -920,10 +920,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:52.731966Z", - "iopub.status.busy": "2023-11-02T15:16:52.731247Z", - "iopub.status.idle": "2023-11-02T15:16:53.473091Z", - "shell.execute_reply": "2023-11-02T15:16:53.471986Z" + "iopub.execute_input": "2023-11-04T09:21:45.744207Z", + "iopub.status.busy": "2023-11-04T09:21:45.743816Z", + "iopub.status.idle": "2023-11-04T09:21:46.195187Z", + "shell.execute_reply": "2023-11-04T09:21:46.194502Z" } }, "outputs": [ @@ -966,10 +966,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:53.477888Z", - "iopub.status.busy": "2023-11-02T15:16:53.477367Z", - "iopub.status.idle": "2023-11-02T15:16:53.845656Z", - "shell.execute_reply": "2023-11-02T15:16:53.844556Z" + "iopub.execute_input": "2023-11-04T09:21:46.198027Z", + "iopub.status.busy": "2023-11-04T09:21:46.197642Z", + "iopub.status.idle": "2023-11-04T09:21:46.422276Z", + "shell.execute_reply": "2023-11-04T09:21:46.421581Z" } }, "outputs": [ @@ -1012,10 +1012,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:53.851117Z", - "iopub.status.busy": "2023-11-02T15:16:53.850348Z", - "iopub.status.idle": "2023-11-02T15:16:54.126415Z", - "shell.execute_reply": "2023-11-02T15:16:54.125128Z" + "iopub.execute_input": "2023-11-04T09:21:46.425001Z", + "iopub.status.busy": "2023-11-04T09:21:46.424615Z", + "iopub.status.idle": "2023-11-04T09:21:46.624623Z", + "shell.execute_reply": "2023-11-04T09:21:46.624007Z" } }, "outputs": [ @@ -1050,10 +1050,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:54.131061Z", - "iopub.status.busy": "2023-11-02T15:16:54.130005Z", - "iopub.status.idle": "2023-11-02T15:16:54.136059Z", - "shell.execute_reply": "2023-11-02T15:16:54.134978Z" + "iopub.execute_input": "2023-11-04T09:21:46.627540Z", + "iopub.status.busy": "2023-11-04T09:21:46.627176Z", + "iopub.status.idle": "2023-11-04T09:21:46.630922Z", + "shell.execute_reply": "2023-11-04T09:21:46.630388Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/outliers.html b/master/tutorials/outliers.html index 0fe98e5f3..04681aa17 100644 --- a/master/tutorials/outliers.html +++ b/master/tutorials/outliers.html @@ -926,7 +926,7 @@

2. Pre-process the Cifar10 dataset
-
+
@@ -1271,7 +1271,7 @@

4. Use cleanlab and here.

diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb index 59c2b89e4..05e62c249 100644 --- a/master/tutorials/outliers.ipynb +++ b/master/tutorials/outliers.ipynb @@ -109,10 +109,10 @@ "id": "2bbebfc8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:16:57.851137Z", - "iopub.status.busy": "2023-11-02T15:16:57.850587Z", - "iopub.status.idle": "2023-11-02T15:17:01.436396Z", - "shell.execute_reply": "2023-11-02T15:17:01.435214Z" + "iopub.execute_input": "2023-11-04T09:21:48.697377Z", + "iopub.status.busy": "2023-11-04T09:21:48.697181Z", + "iopub.status.idle": "2023-11-04T09:21:50.609377Z", + "shell.execute_reply": "2023-11-04T09:21:50.608645Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"matplotlib\", \"torch\", \"torchvision\", \"timm\", \"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "id": "4396f544", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:01.441469Z", - "iopub.status.busy": "2023-11-02T15:17:01.440854Z", - "iopub.status.idle": "2023-11-02T15:17:02.009348Z", - "shell.execute_reply": "2023-11-02T15:17:02.008267Z" + "iopub.execute_input": "2023-11-04T09:21:50.612814Z", + "iopub.status.busy": "2023-11-04T09:21:50.612261Z", + "iopub.status.idle": "2023-11-04T09:21:50.932638Z", + "shell.execute_reply": "2023-11-04T09:21:50.931923Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:02.014157Z", - "iopub.status.busy": "2023-11-02T15:17:02.013614Z", - "iopub.status.idle": "2023-11-02T15:17:02.021162Z", - "shell.execute_reply": "2023-11-02T15:17:02.020049Z" + "iopub.execute_input": "2023-11-04T09:21:50.935481Z", + "iopub.status.busy": "2023-11-04T09:21:50.935262Z", + "iopub.status.idle": "2023-11-04T09:21:50.939757Z", + "shell.execute_reply": "2023-11-04T09:21:50.939273Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:02.025482Z", - "iopub.status.busy": "2023-11-02T15:17:02.025079Z", - "iopub.status.idle": "2023-11-02T15:17:16.116758Z", - "shell.execute_reply": "2023-11-02T15:17:16.115753Z" + "iopub.execute_input": "2023-11-04T09:21:50.942058Z", + "iopub.status.busy": "2023-11-04T09:21:50.941852Z", + "iopub.status.idle": "2023-11-04T09:21:56.335284Z", + "shell.execute_reply": "2023-11-04T09:21:56.334668Z" } }, "outputs": [ @@ -242,7 +242,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "b9472a0e1af842379eacfcf729a6e73b", + "model_id": "3a8ce117c43c4a819acb7107cdf05f96", "version_major": 2, "version_minor": 0 }, @@ -361,10 +361,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:16.121362Z", - "iopub.status.busy": "2023-11-02T15:17:16.120939Z", - "iopub.status.idle": "2023-11-02T15:17:16.133997Z", - "shell.execute_reply": "2023-11-02T15:17:16.132880Z" + "iopub.execute_input": "2023-11-04T09:21:56.338217Z", + "iopub.status.busy": "2023-11-04T09:21:56.337752Z", + "iopub.status.idle": "2023-11-04T09:21:56.342967Z", + "shell.execute_reply": "2023-11-04T09:21:56.342335Z" }, "nbsphinx": "hidden" }, @@ -415,10 +415,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:16.139004Z", - "iopub.status.busy": "2023-11-02T15:17:16.138162Z", - "iopub.status.idle": "2023-11-02T15:17:17.120606Z", - "shell.execute_reply": "2023-11-02T15:17:17.119574Z" + "iopub.execute_input": "2023-11-04T09:21:56.345429Z", + "iopub.status.busy": "2023-11-04T09:21:56.345057Z", + "iopub.status.idle": "2023-11-04T09:21:56.879578Z", + "shell.execute_reply": "2023-11-04T09:21:56.878919Z" } }, "outputs": [ @@ -451,10 +451,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:17.125044Z", - "iopub.status.busy": "2023-11-02T15:17:17.124458Z", - "iopub.status.idle": "2023-11-02T15:17:18.056556Z", - "shell.execute_reply": "2023-11-02T15:17:18.055672Z" + "iopub.execute_input": "2023-11-04T09:21:56.882140Z", + "iopub.status.busy": "2023-11-04T09:21:56.881886Z", + "iopub.status.idle": "2023-11-04T09:21:57.364034Z", + "shell.execute_reply": "2023-11-04T09:21:57.363321Z" } }, "outputs": [ @@ -492,10 +492,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:18.062729Z", - "iopub.status.busy": "2023-11-02T15:17:18.061889Z", - "iopub.status.idle": "2023-11-02T15:17:18.067845Z", - "shell.execute_reply": "2023-11-02T15:17:18.066838Z" + "iopub.execute_input": "2023-11-04T09:21:57.366505Z", + "iopub.status.busy": "2023-11-04T09:21:57.366300Z", + "iopub.status.idle": "2023-11-04T09:21:57.370065Z", + "shell.execute_reply": "2023-11-04T09:21:57.369524Z" } }, "outputs": [], @@ -518,10 +518,10 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:18.071716Z", - "iopub.status.busy": "2023-11-02T15:17:18.071364Z", - "iopub.status.idle": "2023-11-02T15:17:45.248022Z", - "shell.execute_reply": "2023-11-02T15:17:45.247048Z" + "iopub.execute_input": "2023-11-04T09:21:57.372238Z", + "iopub.status.busy": "2023-11-04T09:21:57.372040Z", + "iopub.status.idle": "2023-11-04T09:22:10.543759Z", + "shell.execute_reply": "2023-11-04T09:22:10.543067Z" } }, "outputs": [ @@ -580,10 +580,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:45.252258Z", - "iopub.status.busy": "2023-11-02T15:17:45.251672Z", - "iopub.status.idle": "2023-11-02T15:17:47.782132Z", - "shell.execute_reply": "2023-11-02T15:17:47.781343Z" + "iopub.execute_input": "2023-11-04T09:22:10.546683Z", + "iopub.status.busy": "2023-11-04T09:22:10.546249Z", + "iopub.status.idle": "2023-11-04T09:22:12.164959Z", + "shell.execute_reply": "2023-11-04T09:22:12.164310Z" } }, "outputs": [ @@ -627,10 +627,10 @@ "id": "089d5860", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:47.789932Z", - "iopub.status.busy": "2023-11-02T15:17:47.789457Z", - "iopub.status.idle": "2023-11-02T15:17:48.216848Z", - "shell.execute_reply": "2023-11-02T15:17:48.215711Z" + "iopub.execute_input": "2023-11-04T09:22:12.168405Z", + "iopub.status.busy": "2023-11-04T09:22:12.167858Z", + "iopub.status.idle": "2023-11-04T09:22:12.427085Z", + "shell.execute_reply": "2023-11-04T09:22:12.426397Z" } }, "outputs": [ @@ -666,10 +666,10 @@ "id": "78b1951c", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:48.221413Z", - "iopub.status.busy": "2023-11-02T15:17:48.220606Z", - "iopub.status.idle": "2023-11-02T15:17:49.267570Z", - "shell.execute_reply": "2023-11-02T15:17:49.266636Z" + "iopub.execute_input": "2023-11-04T09:22:12.430311Z", + "iopub.status.busy": "2023-11-04T09:22:12.429951Z", + "iopub.status.idle": "2023-11-04T09:22:13.101325Z", + "shell.execute_reply": "2023-11-04T09:22:13.100587Z" } }, "outputs": [ @@ -719,10 +719,10 @@ "id": "e9dff81b", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:49.271994Z", - "iopub.status.busy": "2023-11-02T15:17:49.271436Z", - "iopub.status.idle": "2023-11-02T15:17:50.078748Z", - "shell.execute_reply": "2023-11-02T15:17:50.076580Z" + "iopub.execute_input": "2023-11-04T09:22:13.104559Z", + "iopub.status.busy": "2023-11-04T09:22:13.104313Z", + "iopub.status.idle": "2023-11-04T09:22:13.577839Z", + "shell.execute_reply": "2023-11-04T09:22:13.577166Z" } }, "outputs": [ @@ -770,10 +770,10 @@ "id": "616769f8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:50.083397Z", - "iopub.status.busy": "2023-11-02T15:17:50.082570Z", - "iopub.status.idle": "2023-11-02T15:17:50.522569Z", - "shell.execute_reply": "2023-11-02T15:17:50.521469Z" + "iopub.execute_input": "2023-11-04T09:22:13.580468Z", + "iopub.status.busy": "2023-11-04T09:22:13.580080Z", + "iopub.status.idle": "2023-11-04T09:22:13.825305Z", + "shell.execute_reply": "2023-11-04T09:22:13.824572Z" } }, "outputs": [ @@ -829,10 +829,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:17:50.527039Z", - "iopub.status.busy": "2023-11-02T15:17:50.526259Z", - "iopub.status.idle": "2023-11-02T15:17:50.764244Z", - "shell.execute_reply": "2023-11-02T15:17:50.762970Z" + "iopub.execute_input": "2023-11-04T09:22:13.828442Z", + "iopub.status.busy": "2023-11-04T09:22:13.828083Z", + "iopub.status.idle": "2023-11-04T09:22:13.917161Z", + "shell.execute_reply": "2023-11-04T09:22:13.916570Z" } }, "outputs": [], @@ -853,10 +853,10 @@ "id": "89f9db72", "metadata": { "execution": { - 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"_view_name": "HTMLView", - "description": "", - "description_tooltip": null, - "layout": "IPY_MODEL_355bfbcf91f24a419c79b2fe8c89694a", - "placeholder": "​", - "style": "IPY_MODEL_e24517e4b8b74874b789fec65e6b03b4", - "value": " 170498071/170498071 [00:05<00:00, 35376540.01it/s]" - } - }, - "8d588339dc134e209405ce96ac054bf0": { + "fbf96cbd8dbf42ba87a6176239c55824": { "model_module": "@jupyter-widgets/base", "model_module_version": "1.2.0", "model_name": "LayoutModel", @@ -1290,74 +1358,6 @@ "visibility": null, "width": null } - }, - "b9472a0e1af842379eacfcf729a6e73b": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_2d144b2f99774ffaac01c5c4ec4fc379", - "IPY_MODEL_587637739e8741eba9241eb8e12ef52e", - "IPY_MODEL_810e2bd013044c62a6cd3bb81ec06409" - ], - "layout": "IPY_MODEL_8d588339dc134e209405ce96ac054bf0" - } - }, - "cb7027054add4a6296c264af28ff9df2": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "e24517e4b8b74874b789fec65e6b03b4": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "DescriptionStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "DescriptionStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "description_width": "" - } - }, - "e5ae1eac3d4f487c9566b9a659793dfc": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "1.2.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } } }, "version_major": 2, diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb index b3b4950d9..a670be679 100644 --- a/master/tutorials/regression.ipynb +++ b/master/tutorials/regression.ipynb @@ -94,10 +94,10 @@ "id": "2e1af7d8", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:47.065880Z", - "iopub.status.busy": "2023-11-02T15:19:47.065501Z", - "iopub.status.idle": "2023-11-02T15:19:48.929522Z", - "shell.execute_reply": "2023-11-02T15:19:48.928324Z" + "iopub.execute_input": "2023-11-04T09:22:59.201314Z", + "iopub.status.busy": "2023-11-04T09:22:59.201119Z", + "iopub.status.idle": "2023-11-04T09:23:00.237150Z", + "shell.execute_reply": "2023-11-04T09:23:00.236534Z" }, "nbsphinx": "hidden" }, @@ -109,7 +109,7 @@ "dependencies = [\"cleanlab\", \"matplotlib>=3.6.0\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -135,10 +135,10 @@ "id": "4fb10b8f", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.934496Z", - "iopub.status.busy": "2023-11-02T15:19:48.933600Z", - "iopub.status.idle": "2023-11-02T15:19:48.975723Z", - "shell.execute_reply": "2023-11-02T15:19:48.974591Z" + "iopub.execute_input": "2023-11-04T09:23:00.240049Z", + "iopub.status.busy": "2023-11-04T09:23:00.239640Z", + "iopub.status.idle": "2023-11-04T09:23:00.259100Z", + "shell.execute_reply": "2023-11-04T09:23:00.258616Z" } }, "outputs": [], @@ -157,10 +157,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.980484Z", - "iopub.status.busy": "2023-11-02T15:19:48.980160Z", - "iopub.status.idle": "2023-11-02T15:19:48.986273Z", - "shell.execute_reply": "2023-11-02T15:19:48.985435Z" + "iopub.execute_input": "2023-11-04T09:23:00.261358Z", + "iopub.status.busy": "2023-11-04T09:23:00.261013Z", + "iopub.status.idle": "2023-11-04T09:23:00.264150Z", + "shell.execute_reply": "2023-11-04T09:23:00.263562Z" }, "nbsphinx": "hidden" }, @@ -191,10 +191,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:48.990814Z", - "iopub.status.busy": "2023-11-02T15:19:48.990231Z", - "iopub.status.idle": "2023-11-02T15:19:49.236220Z", - "shell.execute_reply": "2023-11-02T15:19:49.235131Z" + "iopub.execute_input": "2023-11-04T09:23:00.266621Z", + "iopub.status.busy": "2023-11-04T09:23:00.266152Z", + "iopub.status.idle": "2023-11-04T09:23:00.381520Z", + "shell.execute_reply": "2023-11-04T09:23:00.380987Z" } }, "outputs": [ @@ -367,10 +367,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:49.241255Z", - "iopub.status.busy": "2023-11-02T15:19:49.240881Z", - "iopub.status.idle": "2023-11-02T15:19:49.730318Z", - "shell.execute_reply": "2023-11-02T15:19:49.729255Z" + "iopub.execute_input": "2023-11-04T09:23:00.384009Z", + "iopub.status.busy": "2023-11-04T09:23:00.383807Z", + "iopub.status.idle": "2023-11-04T09:23:00.649275Z", + "shell.execute_reply": "2023-11-04T09:23:00.648644Z" }, "nbsphinx": "hidden" }, @@ -410,10 +410,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:49.734868Z", - "iopub.status.busy": "2023-11-02T15:19:49.734443Z", - "iopub.status.idle": "2023-11-02T15:19:50.165414Z", - "shell.execute_reply": "2023-11-02T15:19:50.164418Z" + "iopub.execute_input": "2023-11-04T09:23:00.652085Z", + "iopub.status.busy": "2023-11-04T09:23:00.651874Z", + "iopub.status.idle": "2023-11-04T09:23:00.868731Z", + "shell.execute_reply": "2023-11-04T09:23:00.868029Z" } }, "outputs": [ @@ -449,10 +449,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:19:50.169654Z", - "iopub.status.busy": "2023-11-02T15:19:50.169281Z", - "iopub.status.idle": "2023-11-02T15:19:50.176664Z", - "shell.execute_reply": "2023-11-02T15:19:50.175658Z" + "iopub.execute_input": "2023-11-04T09:23:00.871465Z", + "iopub.status.busy": "2023-11-04T09:23:00.870993Z", + "iopub.status.idle": "2023-11-04T09:23:00.875707Z", + "shell.execute_reply": "2023-11-04T09:23:00.875082Z" } }, "outputs": [], @@ -470,10 +470,10 @@ "id": "9556c624", "metadata": { "execution": { - 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3. Use cleanlab to find label issues 
-Multiprocessing will default to using the number of logical cores (2). To default to number of physical cores: pip install psutil
+Multiprocessing will default to using the number of logical cores (4). To default to number of physical cores: pip install psutil

-
+
-
+
@@ -1047,7 +1047,7 @@

Classes which are commonly mislabeled overall 
-100%|██████████| 4997436/4997436 [00:52<00:00, 95358.38it/s]
+100%|██████████| 4997436/4997436 [00:28<00:00, 173979.47it/s]

@@ -1305,7 +1305,7 @@

Get label quality scores

-
+

Beyond scoring the overall label quality of each image, the above method produces a (0 to 1) quality score for each pixel. We can apply a thresholding function to these scores in order to extract the same style True or False mask as find_label_issues().

@@ -1361,7 +1361,7 @@

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"_view_module": "@jupyter-widgets/controls", "_view_module_version": "1.5.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_0f1041d0f96948fc87d88009fed951ba", "IPY_MODEL_75e7065dccab48ffa50528355bb9be1c", "IPY_MODEL_52878af6cac1444cb5261f83bc47ffab"], "layout": "IPY_MODEL_1911366edfff4e0f89132a7add4fbcbd"}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/segmentation.ipynb b/master/tutorials/segmentation.ipynb index e0ec17e8a..0f2351858 100644 --- a/master/tutorials/segmentation.ipynb +++ b/master/tutorials/segmentation.ipynb @@ -61,10 +61,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:18.629281Z", - "iopub.status.busy": "2023-11-02T15:20:18.628532Z", - "iopub.status.idle": "2023-11-02T15:20:21.268148Z", - "shell.execute_reply": "2023-11-02T15:20:21.266691Z" + "iopub.execute_input": "2023-11-04T09:23:17.004234Z", + "iopub.status.busy": "2023-11-04T09:23:17.004042Z", + "iopub.status.idle": "2023-11-04T09:23:19.239153Z", + "shell.execute_reply": "2023-11-04T09:23:19.238424Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:20:21.274248Z", - "iopub.status.busy": "2023-11-02T15:20:21.273266Z", - "iopub.status.idle": "2023-11-02T15:21:43.613773Z", - "shell.execute_reply": "2023-11-02T15:21:43.612463Z" + "iopub.execute_input": "2023-11-04T09:23:19.242178Z", + "iopub.status.busy": "2023-11-04T09:23:19.241784Z", + "iopub.status.idle": "2023-11-04T09:24:31.056224Z", + "shell.execute_reply": "2023-11-04T09:24:31.055397Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:43.620191Z", - "iopub.status.busy": "2023-11-02T15:21:43.619823Z", - "iopub.status.idle": "2023-11-02T15:21:45.359965Z", - "shell.execute_reply": "2023-11-02T15:21:45.358871Z" + "iopub.execute_input": "2023-11-04T09:24:31.059482Z", + "iopub.status.busy": "2023-11-04T09:24:31.059051Z", + "iopub.status.idle": "2023-11-04T09:24:32.043644Z", + "shell.execute_reply": "2023-11-04T09:24:32.043005Z" }, "nbsphinx": "hidden" }, @@ -111,7 +111,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -137,10 +137,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.365414Z", - "iopub.status.busy": "2023-11-02T15:21:45.364801Z", - "iopub.status.idle": "2023-11-02T15:21:45.371456Z", - "shell.execute_reply": "2023-11-02T15:21:45.370540Z" + "iopub.execute_input": "2023-11-04T09:24:32.046564Z", + "iopub.status.busy": "2023-11-04T09:24:32.046079Z", + "iopub.status.idle": "2023-11-04T09:24:32.049513Z", + "shell.execute_reply": "2023-11-04T09:24:32.049002Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.375901Z", - "iopub.status.busy": "2023-11-02T15:21:45.375104Z", - "iopub.status.idle": "2023-11-02T15:21:45.383715Z", - "shell.execute_reply": "2023-11-02T15:21:45.382594Z" + "iopub.execute_input": "2023-11-04T09:24:32.051864Z", + "iopub.status.busy": "2023-11-04T09:24:32.051664Z", + "iopub.status.idle": "2023-11-04T09:24:32.055948Z", + "shell.execute_reply": "2023-11-04T09:24:32.055410Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.387438Z", - "iopub.status.busy": "2023-11-02T15:21:45.387115Z", - "iopub.status.idle": "2023-11-02T15:21:45.395222Z", - "shell.execute_reply": "2023-11-02T15:21:45.394281Z" + "iopub.execute_input": "2023-11-04T09:24:32.058141Z", + "iopub.status.busy": "2023-11-04T09:24:32.057948Z", + "iopub.status.idle": "2023-11-04T09:24:32.062001Z", + "shell.execute_reply": "2023-11-04T09:24:32.061458Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.400142Z", - "iopub.status.busy": "2023-11-02T15:21:45.399417Z", - "iopub.status.idle": "2023-11-02T15:21:45.405440Z", - "shell.execute_reply": "2023-11-02T15:21:45.404491Z" + "iopub.execute_input": "2023-11-04T09:24:32.064269Z", + "iopub.status.busy": "2023-11-04T09:24:32.064076Z", + "iopub.status.idle": "2023-11-04T09:24:32.067045Z", + "shell.execute_reply": "2023-11-04T09:24:32.066531Z" } }, "outputs": [], @@ -333,10 +333,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:21:45.409559Z", - "iopub.status.busy": "2023-11-02T15:21:45.409281Z", - "iopub.status.idle": "2023-11-02T15:23:08.878184Z", - "shell.execute_reply": "2023-11-02T15:23:08.876873Z" + "iopub.execute_input": "2023-11-04T09:24:32.069245Z", + "iopub.status.busy": "2023-11-04T09:24:32.069057Z", + "iopub.status.idle": "2023-11-04T09:25:23.986399Z", + "shell.execute_reply": "2023-11-04T09:25:23.985696Z" } }, "outputs": [ @@ -344,13 +344,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Multiprocessing will default to using the number of logical cores (2). To default to number of physical cores: pip install psutil\n" + "Multiprocessing will default to using the number of logical cores (4). To default to number of physical cores: pip install psutil\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "fbc0d7f26d9247179cfb96e1e7b0ba8a", + "model_id": "455f6efc5872419fa7d6c42efed407b7", "version_major": 2, "version_minor": 0 }, @@ -364,7 +364,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "490a3ec3e934490597a189fec0c08f71", + "model_id": "644d8d222bb7434d9224bb6b3207e61b", "version_major": 2, "version_minor": 0 }, @@ -407,10 +407,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:08.883027Z", - "iopub.status.busy": "2023-11-02T15:23:08.882641Z", - "iopub.status.idle": "2023-11-02T15:23:10.189720Z", - "shell.execute_reply": "2023-11-02T15:23:10.188525Z" + "iopub.execute_input": "2023-11-04T09:25:23.989704Z", + "iopub.status.busy": "2023-11-04T09:25:23.988999Z", + "iopub.status.idle": "2023-11-04T09:25:24.737069Z", + "shell.execute_reply": "2023-11-04T09:25:24.736390Z" } }, "outputs": [ @@ -453,10 +453,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:10.194580Z", - "iopub.status.busy": "2023-11-02T15:23:10.193840Z", - "iopub.status.idle": "2023-11-02T15:23:14.027461Z", - "shell.execute_reply": "2023-11-02T15:23:14.026369Z" + "iopub.execute_input": "2023-11-04T09:25:24.739788Z", + "iopub.status.busy": "2023-11-04T09:25:24.739456Z", + "iopub.status.idle": "2023-11-04T09:25:26.815649Z", + "shell.execute_reply": "2023-11-04T09:25:26.814981Z" } }, "outputs": [ @@ -526,10 +526,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:23:14.032407Z", - "iopub.status.busy": "2023-11-02T15:23:14.031504Z", - "iopub.status.idle": "2023-11-02T15:24:06.999821Z", - "shell.execute_reply": "2023-11-02T15:24:06.998894Z" + "iopub.execute_input": "2023-11-04T09:25:26.818208Z", + "iopub.status.busy": "2023-11-04T09:25:26.818004Z", + "iopub.status.idle": "2023-11-04T09:25:55.823288Z", + "shell.execute_reply": "2023-11-04T09:25:55.822614Z" } }, "outputs": [ @@ -546,7 +546,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 9070/4997436 [00:00<00:55, 90690.57it/s]" + " 0%| | 17107/4997436 [00:00<00:29, 171063.23it/s]" ] }, { @@ -554,7 +554,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 18511/4997436 [00:00<00:53, 92808.93it/s]" + " 1%| | 34625/4997436 [00:00<00:28, 173478.59it/s]" ] }, { @@ -562,7 +562,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 27792/4997436 [00:00<00:55, 89947.99it/s]" + " 1%| | 51973/4997436 [00:00<00:28, 172726.04it/s]" ] }, { @@ -570,7 +570,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 37460/4997436 [00:00<00:53, 92550.24it/s]" + " 1%|▏ | 69426/4997436 [00:00<00:28, 173432.65it/s]" ] }, { @@ -578,7 +578,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 46727/4997436 [00:00<00:53, 92078.61it/s]" + " 2%|▏ | 86770/4997436 [00:00<00:28, 173320.07it/s]" ] }, { @@ -586,7 +586,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 56095/4997436 [00:00<00:53, 92612.29it/s]" + " 2%|▏ | 104275/4997436 [00:00<00:28, 173905.69it/s]" ] }, { @@ -594,7 +594,7 @@ "output_type": "stream", "text": [ "\r", - " 1%|▏ | 65383/4997436 [00:00<00:53, 92689.10it/s]" + " 2%|▏ | 121666/4997436 [00:00<00:28, 173345.27it/s]" ] }, { @@ -602,7 +602,7 @@ "output_type": "stream", "text": [ "\r", - " 1%|▏ | 74656/4997436 [00:00<00:53, 91892.86it/s]" + " 3%|▎ | 139002/4997436 [00:00<00:28, 172522.49it/s]" ] }, { @@ -610,7 +610,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 84199/4997436 [00:00<00:52, 92984.48it/s]" + " 3%|▎ | 156460/4997436 [00:00<00:27, 173160.68it/s]" ] }, { @@ -618,7 +618,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 93501/4997436 [00:01<00:53, 90862.93it/s]" + " 3%|▎ | 173778/4997436 [00:01<00:27, 172892.55it/s]" ] }, { @@ -626,7 +626,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 102896/4997436 [00:01<00:53, 91782.98it/s]" + " 4%|▍ | 191068/4997436 [00:01<00:27, 172673.55it/s]" ] }, { @@ -634,7 +634,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 112356/4997436 [00:01<00:52, 92616.71it/s]" + " 4%|▍ | 208336/4997436 [00:01<00:27, 172431.89it/s]" ] }, { @@ -642,7 +642,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 121837/4997436 [00:01<00:52, 93269.13it/s]" + " 5%|▍ | 225864/4997436 [00:01<00:27, 173289.20it/s]" ] }, { @@ -650,7 +650,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 131446/4997436 [00:01<00:51, 94110.12it/s]" + " 5%|▍ | 243240/4997436 [00:01<00:27, 173428.63it/s]" ] }, { @@ -658,7 +658,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 140863/4997436 [00:01<00:51, 93566.08it/s]" + " 5%|▌ | 260609/4997436 [00:01<00:27, 173505.71it/s]" ] }, { @@ -666,7 +666,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 150346/4997436 [00:01<00:51, 93940.46it/s]" + " 6%|▌ | 278119/4997436 [00:01<00:27, 173984.08it/s]" ] }, { @@ -674,7 +674,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 159958/4997436 [00:01<00:51, 94586.84it/s]" + " 6%|▌ | 295575/4997436 [00:01<00:26, 174155.30it/s]" ] }, { @@ -682,7 +682,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 169425/4997436 [00:01<00:51, 94607.37it/s]" + " 6%|▋ | 312991/4997436 [00:01<00:27, 171762.41it/s]" ] }, { @@ -690,7 +690,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▎ | 178888/4997436 [00:01<00:51, 94404.44it/s]" + " 7%|▋ | 330493/4997436 [00:01<00:27, 172729.29it/s]" ] }, { @@ -698,7 +698,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 188330/4997436 [00:02<00:51, 93943.38it/s]" + " 7%|▋ | 347915/4997436 [00:02<00:26, 173171.78it/s]" ] }, { @@ -706,7 +706,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 197726/4997436 [00:02<00:51, 93792.22it/s]" + " 7%|▋ | 365286/4997436 [00:02<00:26, 173331.10it/s]" ] }, { @@ -714,7 +714,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 207107/4997436 [00:02<00:51, 93381.42it/s]" + " 8%|▊ | 382644/4997436 [00:02<00:26, 173401.75it/s]" ] }, { @@ -722,7 +722,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 216698/4997436 [00:02<00:50, 94123.69it/s]" + " 8%|▊ | 399987/4997436 [00:02<00:26, 173106.09it/s]" ] }, { @@ -730,7 +730,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 226194/4997436 [00:02<00:50, 94369.61it/s]" + " 8%|▊ | 417480/4997436 [00:02<00:26, 173648.83it/s]" ] }, { @@ -738,7 +738,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 235632/4997436 [00:02<00:51, 92475.28it/s]" + " 9%|▊ | 434876/4997436 [00:02<00:26, 173740.44it/s]" ] }, { @@ -746,7 +746,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 245163/4997436 [00:02<00:50, 93306.94it/s]" + " 9%|▉ | 452252/4997436 [00:02<00:26, 173738.78it/s]" ] }, { @@ -754,7 +754,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 254502/4997436 [00:02<00:51, 91682.82it/s]" + " 9%|▉ | 469627/4997436 [00:02<00:26, 173413.70it/s]" ] }, { @@ -762,7 +762,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 263681/4997436 [00:02<00:51, 91109.18it/s]" + " 10%|▉ | 486997/4997436 [00:02<00:25, 173495.87it/s]" ] }, { @@ -770,7 +770,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 273205/4997436 [00:02<00:51, 92320.25it/s]" + " 10%|█ | 504348/4997436 [00:02<00:25, 173494.21it/s]" ] }, { @@ -778,7 +778,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 282444/4997436 [00:03<00:52, 89136.57it/s]" + " 10%|█ | 521789/4997436 [00:03<00:25, 173764.12it/s]" ] }, { @@ -786,7 +786,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 291958/4997436 [00:03<00:51, 90871.68it/s]" + " 11%|█ | 539166/4997436 [00:03<00:25, 173546.26it/s]" ] }, { @@ -794,7 +794,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 301139/4997436 [00:03<00:51, 91129.27it/s]" + " 11%|█ | 556717/4997436 [00:03<00:25, 174132.74it/s]" ] }, { @@ -802,7 +802,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 310831/4997436 [00:03<00:50, 92831.82it/s]" + " 11%|█▏ | 574138/4997436 [00:03<00:25, 174152.96it/s]" ] }, { @@ -810,7 +810,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▋ | 320130/4997436 [00:03<00:50, 92266.18it/s]" + " 12%|█▏ | 591554/4997436 [00:03<00:25, 174032.35it/s]" ] }, { @@ -818,7 +818,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 329368/4997436 [00:03<00:50, 91877.68it/s]" + " 12%|█▏ | 608958/4997436 [00:03<00:25, 173901.23it/s]" ] }, { @@ -826,7 +826,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 338905/4997436 [00:03<00:50, 92909.63it/s]" + " 13%|█▎ | 626356/4997436 [00:03<00:25, 173921.90it/s]" ] }, { @@ -834,7 +834,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 348203/4997436 [00:03<00:50, 92822.65it/s]" + " 13%|█▎ | 643749/4997436 [00:03<00:25, 173758.48it/s]" ] }, { @@ -842,7 +842,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 357766/4997436 [00:03<00:49, 93655.92it/s]" + " 13%|█▎ | 661125/4997436 [00:03<00:25, 171272.16it/s]" ] }, { @@ -850,7 +850,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 367441/4997436 [00:03<00:48, 94577.22it/s]" + " 14%|█▎ | 678375/4997436 [00:03<00:25, 171633.25it/s]" ] }, { @@ -858,7 +858,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 376978/4997436 [00:04<00:48, 94809.80it/s]" + " 14%|█▍ | 695728/4997436 [00:04<00:24, 172194.03it/s]" ] }, { @@ -866,7 +866,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 386612/4997436 [00:04<00:48, 95264.17it/s]" + " 14%|█▍ | 712979/4997436 [00:04<00:24, 172285.78it/s]" ] }, { @@ -874,7 +874,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 396141/4997436 [00:04<00:48, 94281.14it/s]" + " 15%|█▍ | 730331/4997436 [00:04<00:24, 172652.23it/s]" ] }, { @@ -882,7 +882,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 405690/4997436 [00:04<00:48, 94637.65it/s]" + " 15%|█▍ | 747605/4997436 [00:04<00:24, 172675.70it/s]" ] }, { @@ -890,7 +890,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 415157/4997436 [00:04<00:48, 94567.52it/s]" + " 15%|█▌ | 764875/4997436 [00:04<00:24, 172420.84it/s]" ] }, { @@ -898,7 +898,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 424646/4997436 [00:04<00:48, 94659.31it/s]" + " 16%|█▌ | 782216/4997436 [00:04<00:24, 172715.82it/s]" ] }, { @@ -906,7 +906,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▊ | 434371/4997436 [00:04<00:47, 95430.71it/s]" + " 16%|█▌ | 799506/4997436 [00:04<00:24, 172768.07it/s]" ] }, { @@ -914,7 +914,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 444093/4997436 [00:04<00:47, 95963.50it/s]" + " 16%|█▋ | 816784/4997436 [00:04<00:24, 172728.51it/s]" ] }, { @@ -922,7 +922,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 453691/4997436 [00:04<00:47, 95876.32it/s]" + " 17%|█▋ | 834058/4997436 [00:04<00:24, 170555.55it/s]" ] }, { @@ -930,7 +930,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 463280/4997436 [00:04<00:47, 95578.36it/s]" + " 17%|█▋ | 851296/4997436 [00:04<00:24, 171095.65it/s]" ] }, { @@ -938,7 +938,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 472925/4997436 [00:05<00:47, 95797.11it/s]" + " 17%|█▋ | 868509/4997436 [00:05<00:24, 171400.02it/s]" ] }, { @@ -946,7 +946,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|▉ | 482719/4997436 [00:05<00:46, 96434.79it/s]" + " 18%|█▊ | 885748/4997436 [00:05<00:23, 171691.75it/s]" ] }, { @@ -954,7 +954,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|▉ | 492443/4997436 [00:05<00:46, 96672.04it/s]" + " 18%|█▊ | 903051/4997436 [00:05<00:23, 172088.38it/s]" ] }, { @@ -962,7 +962,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 502230/4997436 [00:05<00:46, 97027.21it/s]" + " 18%|█▊ | 920358/4997436 [00:05<00:23, 172377.43it/s]" ] }, { @@ -970,7 +970,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 511934/4997436 [00:05<00:46, 96091.99it/s]" + " 19%|█▉ | 937749/4997436 [00:05<00:23, 172834.26it/s]" ] }, { @@ -978,7 +978,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 521546/4997436 [00:05<00:47, 95104.39it/s]" + " 19%|█▉ | 955034/4997436 [00:05<00:23, 172746.84it/s]" ] }, { @@ -986,7 +986,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 531306/4997436 [00:05<00:46, 95838.66it/s]" + " 19%|█▉ | 972362/4997436 [00:05<00:23, 172902.69it/s]" ] }, { @@ -994,7 +994,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 540894/4997436 [00:05<00:46, 95412.52it/s]" + " 20%|█▉ | 989653/4997436 [00:05<00:23, 172821.44it/s]" ] }, { @@ -1002,7 +1002,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 550544/4997436 [00:05<00:46, 95718.10it/s]" + " 20%|██ | 1006936/4997436 [00:05<00:23, 170734.00it/s]" ] }, { @@ -1010,7 +1010,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 560118/4997436 [00:05<00:47, 94223.63it/s]" + " 20%|██ | 1024240/4997436 [00:05<00:23, 171417.33it/s]" ] }, { @@ -1018,7 +1018,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█▏ | 569547/4997436 [00:06<00:47, 93850.32it/s]" + " 21%|██ | 1041507/4997436 [00:06<00:23, 171787.71it/s]" ] }, { @@ -1026,7 +1026,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 578936/4997436 [00:06<00:47, 93086.22it/s]" + " 21%|██ | 1058705/4997436 [00:06<00:22, 171843.35it/s]" ] }, { @@ -1034,7 +1034,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 588371/4997436 [00:06<00:47, 93456.05it/s]" + " 22%|██▏ | 1075971/4997436 [00:06<00:22, 172084.30it/s]" ] }, { @@ -1042,7 +1042,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 597758/4997436 [00:06<00:47, 93573.74it/s]" + " 22%|██▏ | 1093243/4997436 [00:06<00:22, 172271.07it/s]" ] }, { @@ -1050,7 +1050,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 607242/4997436 [00:06<00:46, 93948.30it/s]" + " 22%|██▏ | 1110549/4997436 [00:06<00:22, 172505.21it/s]" ] }, { @@ -1058,7 +1058,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 616639/4997436 [00:06<00:46, 93237.36it/s]" + " 23%|██▎ | 1127801/4997436 [00:06<00:22, 172161.35it/s]" ] }, { @@ -1066,7 +1066,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 626069/4997436 [00:06<00:46, 93550.74it/s]" + " 23%|██▎ | 1145072/4997436 [00:06<00:22, 172323.05it/s]" ] }, { @@ -1074,7 +1074,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 635702/4997436 [00:06<00:46, 94374.13it/s]" + " 23%|██▎ | 1162330/4997436 [00:06<00:22, 172398.71it/s]" ] }, { @@ -1082,7 +1082,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 645376/4997436 [00:06<00:45, 95077.36it/s]" + " 24%|██▎ | 1179899/4997436 [00:06<00:22, 173383.09it/s]" ] }, { @@ -1090,7 +1090,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 655035/4997436 [00:06<00:45, 95525.84it/s]" + " 24%|██▍ | 1197434/4997436 [00:06<00:21, 173969.15it/s]" ] }, { @@ -1098,7 +1098,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 664589/4997436 [00:07<00:45, 95058.37it/s]" + " 24%|██▍ | 1215034/4997436 [00:07<00:21, 174574.75it/s]" ] }, { @@ -1106,7 +1106,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 674097/4997436 [00:07<00:46, 93653.73it/s]" + " 25%|██▍ | 1232578/4997436 [00:07<00:21, 174832.39it/s]" ] }, { @@ -1114,7 +1114,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▎ | 683468/4997436 [00:07<00:46, 91902.80it/s]" + " 25%|██▌ | 1250168/4997436 [00:07<00:21, 175149.38it/s]" ] }, { @@ -1122,7 +1122,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 692674/4997436 [00:07<00:46, 91946.07it/s]" + " 25%|██▌ | 1267684/4997436 [00:07<00:21, 175073.62it/s]" ] }, { @@ -1130,7 +1130,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 701911/4997436 [00:07<00:46, 92067.26it/s]" + " 26%|██▌ | 1285192/4997436 [00:07<00:21, 174999.14it/s]" ] }, { @@ -1138,7 +1138,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 711191/4997436 [00:07<00:46, 92280.15it/s]" + " 26%|██▌ | 1302870/4997436 [00:07<00:21, 175529.47it/s]" ] }, { @@ -1146,7 +1146,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 720423/4997436 [00:07<00:46, 91532.63it/s]" + " 26%|██▋ | 1320550/4997436 [00:07<00:20, 175907.61it/s]" ] }, { @@ -1154,7 +1154,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 729853/4997436 [00:07<00:46, 92349.79it/s]" + " 27%|██▋ | 1338187/4997436 [00:07<00:20, 176042.81it/s]" ] }, { @@ -1162,7 +1162,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 739092/4997436 [00:07<00:46, 91457.30it/s]" + " 27%|██▋ | 1355845/4997436 [00:07<00:20, 176199.69it/s]" ] }, { @@ -1170,7 +1170,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 748430/4997436 [00:08<00:46, 92024.32it/s]" + " 27%|██▋ | 1373466/4997436 [00:07<00:20, 176132.68it/s]" ] }, { @@ -1178,7 +1178,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 757636/4997436 [00:08<00:46, 90929.76it/s]" + " 28%|██▊ | 1391080/4997436 [00:08<00:20, 175815.39it/s]" ] }, { @@ -1186,7 +1186,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 766999/4997436 [00:08<00:46, 91724.81it/s]" + " 28%|██▊ | 1408722/4997436 [00:08<00:20, 175994.03it/s]" ] }, { @@ -1194,7 +1194,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 776617/4997436 [00:08<00:45, 93037.78it/s]" + " 29%|██▊ | 1426392/4997436 [00:08<00:20, 176202.24it/s]" ] }, { @@ -1202,7 +1202,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 786092/4997436 [00:08<00:45, 93543.08it/s]" + " 29%|██▉ | 1444013/4997436 [00:08<00:20, 175832.14it/s]" ] }, { @@ -1210,7 +1210,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 795617/4997436 [00:08<00:44, 94048.66it/s]" + " 29%|██▉ | 1461599/4997436 [00:08<00:20, 175837.27it/s]" ] }, { @@ -1218,7 +1218,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 805415/4997436 [00:08<00:44, 95221.08it/s]" + " 30%|██▉ | 1479225/4997436 [00:08<00:19, 175961.07it/s]" ] }, { @@ -1226,7 +1226,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▋ | 815028/4997436 [00:08<00:43, 95488.59it/s]" + " 30%|██▉ | 1496845/4997436 [00:08<00:19, 176030.58it/s]" ] }, { @@ -1234,7 +1234,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 824583/4997436 [00:08<00:43, 95502.64it/s]" + " 30%|███ | 1514543/4997436 [00:08<00:19, 176311.98it/s]" ] }, { @@ -1242,7 +1242,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 834213/4997436 [00:08<00:43, 95737.46it/s]" + " 31%|███ | 1532175/4997436 [00:08<00:19, 176073.01it/s]" ] }, { @@ -1250,7 +1250,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 843788/4997436 [00:09<00:43, 95082.60it/s]" + " 31%|███ | 1549786/4997436 [00:08<00:19, 176081.12it/s]" ] }, { @@ -1258,7 +1258,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 853318/4997436 [00:09<00:43, 95144.37it/s]" + " 31%|███▏ | 1567395/4997436 [00:09<00:19, 176049.87it/s]" ] }, { @@ -1266,7 +1266,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 862915/4997436 [00:09<00:43, 95387.60it/s]" + " 32%|███▏ | 1585001/4997436 [00:09<00:19, 175920.31it/s]" ] }, { @@ -1274,7 +1274,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 872455/4997436 [00:09<00:44, 93711.54it/s]" + " 32%|███▏ | 1602594/4997436 [00:09<00:19, 175701.32it/s]" ] }, { @@ -1282,7 +1282,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 881833/4997436 [00:09<00:44, 93256.19it/s]" + " 32%|███▏ | 1620165/4997436 [00:09<00:19, 175208.27it/s]" ] }, { @@ -1290,7 +1290,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 891164/4997436 [00:09<00:44, 91816.53it/s]" + " 33%|███▎ | 1637773/4997436 [00:09<00:19, 175467.02it/s]" ] }, { @@ -1298,7 +1298,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 900595/4997436 [00:09<00:44, 92541.25it/s]" + " 33%|███▎ | 1655320/4997436 [00:09<00:19, 175440.17it/s]" ] }, { @@ -1306,7 +1306,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 910514/4997436 [00:09<00:43, 94503.23it/s]" + " 33%|███▎ | 1673093/4997436 [00:09<00:18, 176121.76it/s]" ] }, { @@ -1314,7 +1314,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 920756/4997436 [00:09<00:42, 96850.08it/s]" + " 34%|███▍ | 1690900/4997436 [00:09<00:18, 176703.20it/s]" ] }, { @@ -1322,7 +1322,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▊ | 930486/4997436 [00:09<00:41, 96980.53it/s]" + " 34%|███▍ | 1708584/4997436 [00:09<00:18, 176739.96it/s]" ] }, { @@ -1330,7 +1330,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 940426/4997436 [00:10<00:41, 97698.96it/s]" + " 35%|███▍ | 1726287/4997436 [00:09<00:18, 176825.45it/s]" ] }, { @@ -1338,7 +1338,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 950200/4997436 [00:10<00:41, 97461.55it/s]" + " 35%|███▍ | 1743970/4997436 [00:10<00:18, 176731.47it/s]" ] }, { @@ -1346,7 +1346,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 959950/4997436 [00:10<00:41, 96876.34it/s]" + " 35%|███▌ | 1761664/4997436 [00:10<00:18, 176791.76it/s]" ] }, { @@ -1354,7 +1354,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 969641/4997436 [00:10<00:41, 96125.24it/s]" + " 36%|███▌ | 1779354/4997436 [00:10<00:18, 176820.48it/s]" ] }, { @@ -1362,7 +1362,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 979257/4997436 [00:10<00:42, 95310.50it/s]" + " 36%|███▌ | 1797037/4997436 [00:10<00:18, 176587.78it/s]" ] }, { @@ -1370,7 +1370,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 988791/4997436 [00:10<00:42, 93924.27it/s]" + " 36%|███▋ | 1814703/4997436 [00:10<00:18, 176606.95it/s]" ] }, { @@ -1378,7 +1378,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 998237/4997436 [00:10<00:42, 94076.97it/s]" + " 37%|███▋ | 1832364/4997436 [00:10<00:17, 176464.15it/s]" ] }, { @@ -1386,7 +1386,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1007649/4997436 [00:10<00:42, 94064.19it/s]" + " 37%|███▋ | 1850080/4997436 [00:10<00:17, 176670.69it/s]" ] }, { @@ -1394,7 +1394,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1017104/4997436 [00:10<00:42, 94204.90it/s]" + " 37%|███▋ | 1867748/4997436 [00:10<00:17, 176482.45it/s]" ] }, { @@ -1402,7 +1402,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1026683/4997436 [00:10<00:41, 94674.83it/s]" + " 38%|███▊ | 1885397/4997436 [00:10<00:17, 176285.68it/s]" ] }, { @@ -1410,7 +1410,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1036153/4997436 [00:11<00:42, 93813.18it/s]" + " 38%|███▊ | 1903077/4997436 [00:10<00:17, 176437.75it/s]" ] }, { @@ -1418,7 +1418,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1045582/4997436 [00:11<00:42, 93950.64it/s]" + " 38%|███▊ | 1920721/4997436 [00:11<00:17, 176204.46it/s]" ] }, { @@ -1426,7 +1426,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1054979/4997436 [00:11<00:42, 93461.49it/s]" + " 39%|███▉ | 1938342/4997436 [00:11<00:17, 176139.39it/s]" ] }, { @@ -1434,7 +1434,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██▏ | 1064927/4997436 [00:11<00:41, 95247.67it/s]" + " 39%|███▉ | 1956042/4997436 [00:11<00:17, 176395.85it/s]" ] }, { @@ -1442,7 +1442,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1074620/4997436 [00:11<00:40, 95746.89it/s]" + " 39%|███▉ | 1973719/4997436 [00:11<00:17, 176506.39it/s]" ] }, { @@ -1450,7 +1450,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1084197/4997436 [00:11<00:40, 95581.93it/s]" + " 40%|███▉ | 1991414/4997436 [00:11<00:17, 176637.28it/s]" ] }, { @@ -1458,7 +1458,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1093757/4997436 [00:11<00:40, 95516.54it/s]" + " 40%|████ | 2009078/4997436 [00:11<00:16, 176465.69it/s]" ] }, { @@ -1466,7 +1466,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1103310/4997436 [00:11<00:40, 95011.94it/s]" + " 41%|████ | 2026735/4997436 [00:11<00:16, 176493.47it/s]" ] }, { @@ -1474,7 +1474,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1112813/4997436 [00:11<00:41, 92704.01it/s]" + " 41%|████ | 2044385/4997436 [00:11<00:16, 176271.86it/s]" ] }, { @@ -1482,7 +1482,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1122334/4997436 [00:11<00:41, 93437.15it/s]" + " 41%|████▏ | 2062013/4997436 [00:11<00:16, 176201.48it/s]" ] }, { @@ -1490,7 +1490,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1131902/4997436 [00:12<00:41, 94096.07it/s]" + " 42%|████▏ | 2079634/4997436 [00:11<00:16, 176082.70it/s]" ] }, { @@ -1498,7 +1498,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1141785/4997436 [00:12<00:40, 95497.21it/s]" + " 42%|████▏ | 2097262/4997436 [00:12<00:16, 176140.35it/s]" ] }, { @@ -1506,7 +1506,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1151342/4997436 [00:12<00:40, 94873.11it/s]" + " 42%|████▏ | 2114888/4997436 [00:12<00:16, 176172.74it/s]" ] }, { @@ -1514,7 +1514,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1160835/4997436 [00:12<00:41, 91622.58it/s]" + " 43%|████▎ | 2132506/4997436 [00:12<00:16, 175695.12it/s]" ] }, { @@ -1522,7 +1522,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1170023/4997436 [00:12<00:42, 89779.58it/s]" + " 43%|████▎ | 2150076/4997436 [00:12<00:16, 175462.51it/s]" ] }, { @@ -1530,7 +1530,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▎ | 1179022/4997436 [00:12<00:43, 87711.22it/s]" + " 43%|████▎ | 2167623/4997436 [00:12<00:16, 175297.73it/s]" ] }, { @@ -1538,7 +1538,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1188026/4997436 [00:12<00:43, 88375.60it/s]" + " 44%|████▎ | 2185153/4997436 [00:12<00:16, 173533.40it/s]" ] }, { @@ -1546,7 +1546,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1197258/4997436 [00:12<00:42, 89519.12it/s]" + " 44%|████▍ | 2202705/4997436 [00:12<00:16, 174122.58it/s]" ] }, { @@ -1554,7 +1554,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1206623/4997436 [00:12<00:41, 90727.52it/s]" + " 44%|████▍ | 2220230/4997436 [00:12<00:15, 174456.53it/s]" ] }, { @@ -1562,7 +1562,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1215835/4997436 [00:12<00:41, 91136.38it/s]" + " 45%|████▍ | 2237764/4997436 [00:12<00:15, 174718.35it/s]" ] }, { @@ -1570,7 +1570,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1225094/4997436 [00:13<00:41, 91563.46it/s]" + " 45%|████▌ | 2255238/4997436 [00:12<00:15, 174589.67it/s]" ] }, { @@ -1578,7 +1578,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1234258/4997436 [00:13<00:41, 91555.86it/s]" + " 45%|████▌ | 2272750/4997436 [00:13<00:15, 174745.28it/s]" ] }, { @@ -1586,7 +1586,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1243419/4997436 [00:13<00:41, 90723.08it/s]" + " 46%|████▌ | 2290339/4997436 [00:13<00:15, 175085.10it/s]" ] }, { @@ -1594,7 +1594,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1252780/4997436 [00:13<00:40, 91577.71it/s]" + " 46%|████▌ | 2307894/4997436 [00:13<00:15, 175222.43it/s]" ] }, { @@ -1602,7 +1602,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1262043/4997436 [00:13<00:40, 91886.82it/s]" + " 47%|████▋ | 2325417/4997436 [00:13<00:15, 175072.62it/s]" ] }, { @@ -1610,7 +1610,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1271235/4997436 [00:13<00:40, 91622.14it/s]" + " 47%|████▋ | 2343150/4997436 [00:13<00:15, 175747.77it/s]" ] }, { @@ -1618,7 +1618,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1280410/4997436 [00:13<00:40, 91656.98it/s]" + " 47%|████▋ | 2360805/4997436 [00:13<00:14, 175986.01it/s]" ] }, { @@ -1626,7 +1626,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1289578/4997436 [00:13<00:40, 90857.47it/s]" + " 48%|████▊ | 2378415/4997436 [00:13<00:14, 176017.59it/s]" ] }, { @@ -1634,7 +1634,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1298667/4997436 [00:13<00:41, 90143.22it/s]" + " 48%|████▊ | 2396017/4997436 [00:13<00:14, 175863.34it/s]" ] }, { @@ -1642,7 +1642,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1308067/4997436 [00:13<00:40, 91284.16it/s]" + " 48%|████▊ | 2413604/4997436 [00:13<00:14, 175411.51it/s]" ] }, { @@ -1650,7 +1650,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▋ | 1317642/4997436 [00:14<00:39, 92609.59it/s]" + " 49%|████▊ | 2431146/4997436 [00:13<00:14, 175200.46it/s]" ] }, { @@ -1658,7 +1658,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1327247/4997436 [00:14<00:39, 93631.66it/s]" + " 49%|████▉ | 2448694/4997436 [00:14<00:14, 175280.41it/s]" ] }, { @@ -1666,7 +1666,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1336883/4997436 [00:14<00:38, 94443.63it/s]" + " 49%|████▉ | 2466223/4997436 [00:14<00:14, 175163.40it/s]" ] }, { @@ -1674,7 +1674,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1346587/4997436 [00:14<00:38, 95186.13it/s]" + " 50%|████▉ | 2483740/4997436 [00:14<00:14, 174977.65it/s]" ] }, { @@ -1682,7 +1682,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1356108/4997436 [00:14<00:38, 93568.43it/s]" + " 50%|█████ | 2501238/4997436 [00:14<00:14, 174897.75it/s]" ] }, { @@ -1690,7 +1690,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1365472/4997436 [00:14<00:39, 91671.36it/s]" + " 50%|█████ | 2518740/4997436 [00:14<00:14, 174932.91it/s]" ] }, { @@ -1698,7 +1698,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1374804/4997436 [00:14<00:39, 92151.63it/s]" + " 51%|█████ | 2536243/4997436 [00:14<00:14, 174960.80it/s]" ] }, { @@ -1706,7 +1706,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1384177/4997436 [00:14<00:39, 92573.82it/s]" + " 51%|█████ | 2553740/4997436 [00:14<00:13, 174935.61it/s]" ] }, { @@ -1714,7 +1714,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1393442/4997436 [00:14<00:39, 92070.68it/s]" + " 51%|█████▏ | 2571234/4997436 [00:14<00:13, 174763.47it/s]" ] }, { @@ -1722,7 +1722,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1403074/4997436 [00:15<00:38, 93301.38it/s]" + " 52%|█████▏ | 2588807/4997436 [00:14<00:13, 175048.63it/s]" ] }, { @@ -1730,7 +1730,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1412638/4997436 [00:15<00:38, 93993.80it/s]" + " 52%|█████▏ | 2606312/4997436 [00:14<00:13, 174083.68it/s]" ] }, { @@ -1738,7 +1738,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1422225/4997436 [00:15<00:37, 94549.01it/s]" + " 53%|█████▎ | 2623722/4997436 [00:15<00:13, 174080.30it/s]" ] }, { @@ -1746,7 +1746,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 1431923/4997436 [00:15<00:37, 95271.13it/s]" + " 53%|█████▎ | 2641131/4997436 [00:15<00:13, 173894.67it/s]" ] }, { @@ -1754,7 +1754,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1441687/4997436 [00:15<00:37, 95976.62it/s]" + " 53%|█████▎ | 2658522/4997436 [00:15<00:13, 173390.61it/s]" ] }, { @@ -1762,7 +1762,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1451287/4997436 [00:15<00:37, 95526.55it/s]" + " 54%|█████▎ | 2675962/4997436 [00:15<00:13, 173690.37it/s]" ] }, { @@ -1770,7 +1770,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1460859/4997436 [00:15<00:37, 95580.79it/s]" + " 54%|█████▍ | 2693332/4997436 [00:15<00:13, 173567.04it/s]" ] }, { @@ -1778,7 +1778,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1470419/4997436 [00:15<00:37, 94985.15it/s]" + " 54%|█████▍ | 2710690/4997436 [00:15<00:14, 154354.97it/s]" ] }, { @@ -1786,7 +1786,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1479920/4997436 [00:15<00:37, 94978.75it/s]" + " 55%|█████▍ | 2727237/4997436 [00:15<00:14, 157415.55it/s]" ] }, { @@ -1794,7 +1794,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1489850/4997436 [00:15<00:36, 96265.93it/s]" + " 55%|█████▍ | 2744650/4997436 [00:15<00:13, 162131.99it/s]" ] }, { @@ -1802,7 +1802,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1499900/4997436 [00:16<00:35, 97528.73it/s]" + " 55%|█████▌ | 2761967/4997436 [00:15<00:13, 165299.91it/s]" ] }, { @@ -1810,7 +1810,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1509655/4997436 [00:16<00:36, 96697.46it/s]" + " 56%|█████▌ | 2779223/4997436 [00:15<00:13, 167409.80it/s]" ] }, { @@ -1818,7 +1818,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1519741/4997436 [00:16<00:35, 97928.74it/s]" + " 56%|█████▌ | 2796297/4997436 [00:16<00:13, 168383.69it/s]" ] }, { @@ -1826,7 +1826,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1529537/4997436 [00:16<00:35, 96901.94it/s]" + " 56%|█████▋ | 2813588/4997436 [00:16<00:12, 169719.61it/s]" ] }, { @@ -1834,7 +1834,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1539610/4997436 [00:16<00:35, 98034.62it/s]" + " 57%|█████▋ | 2830909/4997436 [00:16<00:12, 170752.36it/s]" ] }, { @@ -1842,7 +1842,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1549418/4997436 [00:16<00:35, 97876.75it/s]" + " 57%|█████▋ | 2848236/4997436 [00:16<00:12, 171498.76it/s]" ] }, { @@ -1850,7 +1850,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1559229/4997436 [00:16<00:35, 97942.80it/s]" + " 57%|█████▋ | 2865562/4997436 [00:16<00:12, 172021.89it/s]" ] }, { @@ -1858,7 +1858,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███▏ | 1569026/4997436 [00:16<00:35, 97616.51it/s]" + " 58%|█████▊ | 2882790/4997436 [00:16<00:12, 169463.52it/s]" ] }, { @@ -1866,7 +1866,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1578790/4997436 [00:16<00:35, 95548.04it/s]" + " 58%|█████▊ | 2900192/4997436 [00:16<00:12, 170808.48it/s]" ] }, { @@ -1874,7 +1874,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1588355/4997436 [00:16<00:35, 95460.25it/s]" + " 58%|█████▊ | 2917509/4997436 [00:16<00:12, 171507.92it/s]" ] }, { @@ -1882,7 +1882,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1597908/4997436 [00:17<00:36, 93963.19it/s]" + " 59%|█████▊ | 2934736/4997436 [00:16<00:12, 171731.55it/s]" ] }, { @@ -1890,7 +1890,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1607313/4997436 [00:17<00:36, 93401.06it/s]" + " 59%|█████▉ | 2951966/4997436 [00:16<00:11, 171898.29it/s]" ] }, { @@ -1898,7 +1898,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1616659/4997436 [00:17<00:36, 93281.07it/s]" + " 59%|█████▉ | 2969307/4997436 [00:17<00:11, 172348.65it/s]" ] }, { @@ -1906,7 +1906,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1626544/4997436 [00:17<00:35, 94919.84it/s]" + " 60%|█████▉ | 2986696/4997436 [00:17<00:11, 172806.10it/s]" ] }, { @@ -1914,7 +1914,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1636399/4997436 [00:17<00:35, 95995.41it/s]" + " 60%|██████ | 3003981/4997436 [00:17<00:11, 172744.18it/s]" ] }, { @@ -1922,7 +1922,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1646273/4997436 [00:17<00:34, 96809.28it/s]" + " 60%|██████ | 3021345/4997436 [00:17<00:11, 173010.61it/s]" ] }, { @@ -1930,7 +1930,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1656092/4997436 [00:17<00:34, 97216.57it/s]" + " 61%|██████ | 3038721/4997436 [00:17<00:11, 173231.29it/s]" ] }, { @@ -1938,7 +1938,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1665898/4997436 [00:17<00:34, 97465.45it/s]" + " 61%|██████ | 3056046/4997436 [00:17<00:11, 173203.89it/s]" ] }, { @@ -1946,7 +1946,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▎ | 1675649/4997436 [00:17<00:34, 97476.09it/s]" + " 61%|██████▏ | 3073414/4997436 [00:17<00:11, 173344.08it/s]" ] }, { @@ -1954,7 +1954,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▎ | 1685399/4997436 [00:17<00:34, 96724.34it/s]" + " 62%|██████▏ | 3090771/4997436 [00:17<00:10, 173409.52it/s]" ] }, { @@ -1962,7 +1962,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1695090/4997436 [00:18<00:34, 96776.32it/s]" + " 62%|██████▏ | 3108113/4997436 [00:17<00:11, 168324.46it/s]" ] }, { @@ -1970,7 +1970,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1704770/4997436 [00:18<00:34, 96663.96it/s]" + " 63%|██████▎ | 3125016/4997436 [00:18<00:11, 168529.37it/s]" ] }, { @@ -1978,7 +1978,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1714511/4997436 [00:18<00:33, 96883.28it/s]" + " 63%|██████▎ | 3142341/4997436 [00:18<00:10, 169921.70it/s]" ] }, { @@ -1986,7 +1986,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1724336/4997436 [00:18<00:33, 97285.65it/s]" + " 63%|██████▎ | 3159703/4997436 [00:18<00:10, 171017.41it/s]" ] }, { @@ -1994,7 +1994,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1734066/4997436 [00:18<00:34, 95297.20it/s]" + " 64%|██████▎ | 3177078/4997436 [00:18<00:10, 171827.46it/s]" ] }, { @@ -2002,7 +2002,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1743605/4997436 [00:18<00:34, 94602.00it/s]" + " 64%|██████▍ | 3194444/4997436 [00:18<00:10, 172370.64it/s]" ] }, { @@ -2010,7 +2010,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1753295/4997436 [00:18<00:34, 95277.53it/s]" + " 64%|██████▍ | 3211801/4997436 [00:18<00:10, 172725.63it/s]" ] }, { @@ -2018,7 +2018,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1762943/4997436 [00:18<00:33, 95631.27it/s]" + " 65%|██████▍ | 3229190/4997436 [00:18<00:10, 173072.49it/s]" ] }, { @@ -2026,7 +2026,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1772511/4997436 [00:18<00:33, 94916.96it/s]" + " 65%|██████▍ | 3246591/4997436 [00:18<00:10, 173351.31it/s]" ] }, { @@ -2034,7 +2034,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1782007/4997436 [00:18<00:34, 94190.95it/s]" + " 65%|██████▌ | 3263949/4997436 [00:18<00:09, 173417.03it/s]" ] }, { @@ -2042,7 +2042,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1791436/4997436 [00:19<00:34, 94217.64it/s]" + " 66%|██████▌ | 3281334/4997436 [00:18<00:09, 173543.51it/s]" ] }, { @@ -2050,7 +2050,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1800931/4997436 [00:19<00:33, 94431.65it/s]" + " 66%|██████▌ | 3298701/4997436 [00:19<00:09, 173579.12it/s]" ] }, { @@ -2058,7 +2058,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1810461/4997436 [00:19<00:33, 94686.10it/s]" + " 66%|██████▋ | 3316060/4997436 [00:19<00:09, 173258.64it/s]" ] }, { @@ -2066,7 +2066,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▋ | 1820293/4997436 [00:19<00:33, 95767.16it/s]" + " 67%|██████▋ | 3333425/4997436 [00:19<00:09, 173374.67it/s]" ] }, { @@ -2074,7 +2074,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1829929/4997436 [00:19<00:33, 95939.87it/s]" + " 67%|██████▋ | 3350764/4997436 [00:19<00:09, 173260.11it/s]" ] }, { @@ -2082,7 +2082,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1839525/4997436 [00:19<00:33, 94548.44it/s]" + " 67%|██████▋ | 3368166/4997436 [00:19<00:09, 173485.48it/s]" ] }, { @@ -2090,7 +2090,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1849240/4997436 [00:19<00:33, 95315.64it/s]" + " 68%|██████▊ | 3385525/4997436 [00:19<00:09, 173513.14it/s]" ] }, { @@ -2098,7 +2098,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1858884/4997436 [00:19<00:32, 95645.40it/s]" + " 68%|██████▊ | 3402877/4997436 [00:19<00:09, 173300.45it/s]" ] }, { @@ -2106,7 +2106,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1868452/4997436 [00:19<00:33, 93853.75it/s]" + " 68%|██████▊ | 3420208/4997436 [00:19<00:09, 173234.68it/s]" ] }, { @@ -2114,7 +2114,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1877939/4997436 [00:19<00:33, 94135.76it/s]" + " 69%|██████▉ | 3437532/4997436 [00:19<00:09, 173228.65it/s]" ] }, { @@ -2122,7 +2122,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1887360/4997436 [00:20<00:33, 92375.70it/s]" + " 69%|██████▉ | 3454882/4997436 [00:19<00:08, 173306.07it/s]" ] }, { @@ -2130,7 +2130,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1896608/4997436 [00:20<00:35, 88410.75it/s]" + " 69%|██████▉ | 3472213/4997436 [00:20<00:09, 166460.65it/s]" ] }, { @@ -2138,7 +2138,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1905790/4997436 [00:20<00:34, 89382.45it/s]" + " 70%|██████▉ | 3489491/4997436 [00:20<00:08, 168299.47it/s]" ] }, { @@ -2146,7 +2146,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1915201/4997436 [00:20<00:33, 90751.60it/s]" + " 70%|███████ | 3506830/4997436 [00:20<00:08, 169793.76it/s]" ] }, { @@ -2154,7 +2154,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▊ | 1924571/4997436 [00:20<00:33, 91611.99it/s]" + " 71%|███████ | 3524180/4997436 [00:20<00:08, 170887.42it/s]" ] }, { @@ -2162,7 +2162,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▊ | 1933867/4997436 [00:20<00:33, 92006.99it/s]" + " 71%|███████ | 3541534/4997436 [00:20<00:08, 171674.35it/s]" ] }, { @@ -2170,7 +2170,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1943083/4997436 [00:20<00:33, 91586.72it/s]" + " 71%|███████ | 3558960/4997436 [00:20<00:08, 172442.22it/s]" ] }, { @@ -2178,7 +2178,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1952348/4997436 [00:20<00:33, 91861.51it/s]" + " 72%|███████▏ | 3576383/4997436 [00:20<00:08, 172974.49it/s]" ] }, { @@ -2186,7 +2186,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1961884/4997436 [00:20<00:32, 92894.58it/s]" + " 72%|███████▏ | 3593814/4997436 [00:20<00:08, 173369.85it/s]" ] }, { @@ -2194,7 +2194,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1971436/4997436 [00:20<00:32, 93674.12it/s]" + " 72%|███████▏ | 3611224/4997436 [00:20<00:07, 173587.30it/s]" ] }, { @@ -2202,7 +2202,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1980809/4997436 [00:21<00:32, 91876.51it/s]" + " 73%|███████▎ | 3628635/4997436 [00:20<00:07, 173741.16it/s]" ] }, { @@ -2210,7 +2210,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1990008/4997436 [00:21<00:33, 91067.98it/s]" + " 73%|███████▎ | 3646013/4997436 [00:21<00:08, 166951.89it/s]" ] }, { @@ -2218,7 +2218,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 1999391/4997436 [00:21<00:32, 91877.40it/s]" + " 73%|███████▎ | 3663388/4997436 [00:21<00:07, 168929.96it/s]" ] }, { @@ -2226,7 +2226,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2008929/4997436 [00:21<00:32, 92910.17it/s]" + " 74%|███████▎ | 3680864/4997436 [00:21<00:07, 170640.98it/s]" ] }, { @@ -2234,7 +2234,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2018447/4997436 [00:21<00:31, 93582.38it/s]" + " 74%|███████▍ | 3698281/4997436 [00:21<00:07, 171681.41it/s]" ] }, { @@ -2242,7 +2242,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2027898/4997436 [00:21<00:31, 93855.06it/s]" + " 74%|███████▍ | 3715743/4997436 [00:21<00:07, 172550.43it/s]" ] }, { @@ -2250,7 +2250,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2037447/4997436 [00:21<00:31, 94339.89it/s]" + " 75%|███████▍ | 3733177/4997436 [00:21<00:07, 173080.99it/s]" ] }, { @@ -2258,7 +2258,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2046962/4997436 [00:21<00:31, 94579.28it/s]" + " 75%|███████▌ | 3750586/4997436 [00:21<00:07, 173379.77it/s]" ] }, { @@ -2266,7 +2266,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2056463/4997436 [00:21<00:31, 94704.79it/s]" + " 75%|███████▌ | 3767988/4997436 [00:21<00:07, 173569.12it/s]" ] }, { @@ -2274,7 +2274,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████▏ | 2065935/4997436 [00:22<00:31, 94371.94it/s]" + " 76%|███████▌ | 3785481/4997436 [00:21<00:06, 173974.70it/s]" ] }, { @@ -2282,7 +2282,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2075380/4997436 [00:22<00:30, 94391.40it/s]" + " 76%|███████▌ | 3802976/4997436 [00:21<00:06, 174265.34it/s]" ] }, { @@ -2290,7 +2290,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2084956/4997436 [00:22<00:30, 94797.78it/s]" + " 76%|███████▋ | 3820407/4997436 [00:22<00:06, 174232.97it/s]" ] }, { @@ -2298,7 +2298,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2094437/4997436 [00:22<00:31, 92255.52it/s]" + " 77%|███████▋ | 3837833/4997436 [00:22<00:06, 174144.19it/s]" ] }, { @@ -2306,7 +2306,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2103678/4997436 [00:22<00:31, 90805.62it/s]" + " 77%|███████▋ | 3855261/4997436 [00:22<00:06, 174183.69it/s]" ] }, { @@ -2314,7 +2314,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2113047/4997436 [00:22<00:31, 91646.12it/s]" + " 77%|███████▋ | 3872681/4997436 [00:22<00:06, 174060.75it/s]" ] }, { @@ -2322,7 +2322,7 @@ "output_type": "stream", "text": [ "\r", - 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"model_module": "@jupyter-widgets/controls", - "model_module_version": "1.5.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "1.5.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "1.5.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_6e24c07364bd4b17948143439fc58f57", - "IPY_MODEL_fbade7b119ea4248afefe80635667e1f", - "IPY_MODEL_4c8bc77d820d4282854741bee154e1c0" - ], - "layout": "IPY_MODEL_a9e3d0bbd92240e0a56f5496440fcaf5" - } } }, "version_major": 2, diff --git a/master/tutorials/tabular.ipynb b/master/tutorials/tabular.ipynb index 8d0fd6c82..217257915 100644 --- a/master/tutorials/tabular.ipynb +++ b/master/tutorials/tabular.ipynb @@ -112,10 +112,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:52.403751Z", - "iopub.status.busy": "2023-11-02T15:24:52.403144Z", - "iopub.status.idle": "2023-11-02T15:24:55.321093Z", - "shell.execute_reply": "2023-11-02T15:24:55.319992Z" + "iopub.execute_input": "2023-11-04T09:26:14.227663Z", + "iopub.status.busy": "2023-11-04T09:26:14.227182Z", + "iopub.status.idle": "2023-11-04T09:26:15.212316Z", + "shell.execute_reply": "2023-11-04T09:26:15.211713Z" }, "nbsphinx": "hidden" }, @@ -125,7 +125,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -150,10 +150,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.325899Z", - "iopub.status.busy": "2023-11-02T15:24:55.325031Z", - "iopub.status.idle": "2023-11-02T15:24:55.407331Z", - "shell.execute_reply": "2023-11-02T15:24:55.406275Z" + "iopub.execute_input": "2023-11-04T09:26:15.215403Z", + "iopub.status.busy": "2023-11-04T09:26:15.214916Z", + "iopub.status.idle": "2023-11-04T09:26:15.235839Z", + "shell.execute_reply": "2023-11-04T09:26:15.235339Z" } }, "outputs": [], @@ -194,10 +194,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.412458Z", - "iopub.status.busy": "2023-11-02T15:24:55.411745Z", - "iopub.status.idle": "2023-11-02T15:24:55.541363Z", - "shell.execute_reply": "2023-11-02T15:24:55.540273Z" + "iopub.execute_input": "2023-11-04T09:26:15.238481Z", + "iopub.status.busy": "2023-11-04T09:26:15.238110Z", + "iopub.status.idle": "2023-11-04T09:26:15.329845Z", + "shell.execute_reply": "2023-11-04T09:26:15.329270Z" } }, "outputs": [ @@ -304,10 +304,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.549193Z", - "iopub.status.busy": "2023-11-02T15:24:55.548764Z", - "iopub.status.idle": "2023-11-02T15:24:55.560020Z", - "shell.execute_reply": "2023-11-02T15:24:55.558764Z" + "iopub.execute_input": "2023-11-04T09:26:15.332128Z", + "iopub.status.busy": "2023-11-04T09:26:15.331785Z", + "iopub.status.idle": "2023-11-04T09:26:15.335399Z", + "shell.execute_reply": "2023-11-04T09:26:15.334801Z" } }, "outputs": [], @@ -328,10 +328,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.565875Z", - "iopub.status.busy": "2023-11-02T15:24:55.565072Z", - "iopub.status.idle": "2023-11-02T15:24:55.582451Z", - "shell.execute_reply": "2023-11-02T15:24:55.580752Z" + "iopub.execute_input": "2023-11-04T09:26:15.337668Z", + "iopub.status.busy": "2023-11-04T09:26:15.337318Z", + "iopub.status.idle": "2023-11-04T09:26:15.346344Z", + "shell.execute_reply": "2023-11-04T09:26:15.345860Z" } }, "outputs": [], @@ -383,10 +383,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.587578Z", - "iopub.status.busy": "2023-11-02T15:24:55.586640Z", - "iopub.status.idle": "2023-11-02T15:24:55.592536Z", - "shell.execute_reply": "2023-11-02T15:24:55.591525Z" + "iopub.execute_input": "2023-11-04T09:26:15.348716Z", + "iopub.status.busy": "2023-11-04T09:26:15.348343Z", + "iopub.status.idle": "2023-11-04T09:26:15.351129Z", + "shell.execute_reply": "2023-11-04T09:26:15.350613Z" } }, "outputs": [], @@ -408,10 +408,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:55.596771Z", - "iopub.status.busy": "2023-11-02T15:24:55.596446Z", - "iopub.status.idle": "2023-11-02T15:24:56.635869Z", - "shell.execute_reply": "2023-11-02T15:24:56.634620Z" + "iopub.execute_input": "2023-11-04T09:26:15.353527Z", + "iopub.status.busy": "2023-11-04T09:26:15.353192Z", + "iopub.status.idle": "2023-11-04T09:26:15.928677Z", + "shell.execute_reply": "2023-11-04T09:26:15.928049Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:24:56.640308Z", - "iopub.status.busy": "2023-11-02T15:24:56.640005Z", - "iopub.status.idle": "2023-11-02T15:25:00.989643Z", - "shell.execute_reply": "2023-11-02T15:25:00.988407Z" + "iopub.execute_input": "2023-11-04T09:26:15.931657Z", + "iopub.status.busy": "2023-11-04T09:26:15.931448Z", + "iopub.status.idle": "2023-11-04T09:26:17.146550Z", + "shell.execute_reply": "2023-11-04T09:26:17.145742Z" } }, "outputs": [ @@ -480,10 +480,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:00.995271Z", - "iopub.status.busy": "2023-11-02T15:25:00.994213Z", - "iopub.status.idle": "2023-11-02T15:25:01.012991Z", - "shell.execute_reply": "2023-11-02T15:25:01.012008Z" + "iopub.execute_input": "2023-11-04T09:26:17.149825Z", + "iopub.status.busy": "2023-11-04T09:26:17.149014Z", + "iopub.status.idle": "2023-11-04T09:26:17.159757Z", + "shell.execute_reply": "2023-11-04T09:26:17.159231Z" } }, "outputs": [ @@ -604,10 +604,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.016886Z", - "iopub.status.busy": "2023-11-02T15:25:01.016605Z", - "iopub.status.idle": "2023-11-02T15:25:01.024264Z", - "shell.execute_reply": "2023-11-02T15:25:01.023260Z" + "iopub.execute_input": "2023-11-04T09:26:17.162383Z", + "iopub.status.busy": "2023-11-04T09:26:17.162088Z", + "iopub.status.idle": "2023-11-04T09:26:17.166180Z", + "shell.execute_reply": "2023-11-04T09:26:17.165582Z" } }, "outputs": [], @@ -632,10 +632,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.027970Z", - "iopub.status.busy": "2023-11-02T15:25:01.027698Z", - "iopub.status.idle": "2023-11-02T15:25:01.039586Z", - "shell.execute_reply": "2023-11-02T15:25:01.038573Z" + "iopub.execute_input": "2023-11-04T09:26:17.168600Z", + "iopub.status.busy": "2023-11-04T09:26:17.168248Z", + "iopub.status.idle": "2023-11-04T09:26:17.175925Z", + "shell.execute_reply": "2023-11-04T09:26:17.175410Z" } }, "outputs": [], @@ -657,10 +657,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.043156Z", - "iopub.status.busy": "2023-11-02T15:25:01.042883Z", - "iopub.status.idle": "2023-11-02T15:25:01.253028Z", - "shell.execute_reply": "2023-11-02T15:25:01.251907Z" + "iopub.execute_input": "2023-11-04T09:26:17.178277Z", + "iopub.status.busy": "2023-11-04T09:26:17.177983Z", + "iopub.status.idle": "2023-11-04T09:26:17.299026Z", + "shell.execute_reply": "2023-11-04T09:26:17.298369Z" } }, "outputs": [ @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.257524Z", - "iopub.status.busy": "2023-11-02T15:25:01.257141Z", - "iopub.status.idle": "2023-11-02T15:25:01.266509Z", - "shell.execute_reply": "2023-11-02T15:25:01.265585Z" + "iopub.execute_input": "2023-11-04T09:26:17.301590Z", + "iopub.status.busy": "2023-11-04T09:26:17.301213Z", + "iopub.status.idle": "2023-11-04T09:26:17.304808Z", + "shell.execute_reply": "2023-11-04T09:26:17.304310Z" } }, "outputs": [], @@ -714,10 +714,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:01.270788Z", - "iopub.status.busy": "2023-11-02T15:25:01.270475Z", - "iopub.status.idle": "2023-11-02T15:25:04.624319Z", - "shell.execute_reply": "2023-11-02T15:25:04.622820Z" + "iopub.execute_input": "2023-11-04T09:26:17.307165Z", + "iopub.status.busy": "2023-11-04T09:26:17.306803Z", + "iopub.status.idle": "2023-11-04T09:26:18.717919Z", + "shell.execute_reply": "2023-11-04T09:26:18.717176Z" } }, "outputs": [], @@ -737,10 +737,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:04.629721Z", - "iopub.status.busy": "2023-11-02T15:25:04.629314Z", - "iopub.status.idle": "2023-11-02T15:25:04.654741Z", - "shell.execute_reply": "2023-11-02T15:25:04.653807Z" + "iopub.execute_input": "2023-11-04T09:26:18.721272Z", + "iopub.status.busy": "2023-11-04T09:26:18.720753Z", + "iopub.status.idle": "2023-11-04T09:26:18.734689Z", + "shell.execute_reply": "2023-11-04T09:26:18.734045Z" } }, "outputs": [ @@ -770,10 +770,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:04.661075Z", - "iopub.status.busy": "2023-11-02T15:25:04.659079Z", - "iopub.status.idle": "2023-11-02T15:25:04.772591Z", - "shell.execute_reply": "2023-11-02T15:25:04.770770Z" + "iopub.execute_input": "2023-11-04T09:26:18.737248Z", + "iopub.status.busy": "2023-11-04T09:26:18.736805Z", + "iopub.status.idle": "2023-11-04T09:26:18.805845Z", + "shell.execute_reply": "2023-11-04T09:26:18.805210Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/text.html b/master/tutorials/text.html index bdd3ca7e9..9bf94ace6 100644 --- a/master/tutorials/text.html +++ b/master/tutorials/text.html @@ -964,7 +964,7 @@

2. Load and format the text dataset 
 This dataset has 10 classes.
-Classes: {'visa_or_mastercard', 'lost_or_stolen_phone', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'change_pin'}
+Classes: {'card_payment_fee_charged', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_about_to_expire'}

Let’s print the first example in the train set.

@@ -1108,35 +1108,35 @@

3. Define a classification model and use cleanlab to find potential label er 0 False - 0.857900 + 0.858050 6 6 1 False - 0.545836 + 0.545854 3 3 2 False - 0.826185 + 0.826194 7 7 3 False - 0.965809 + 0.965814 8 8 4 False - 0.792077 + 0.791923 4 4 @@ -1312,7 +1312,7 @@

4. Train a more robust model from noisy labels 
-Test accuracy of cleanlab's model: 0.9
+Test accuracy of cleanlab's model: 0.91

We can see that the test set accuracy slightly improved as a result of the data cleaning. Note that this will not always be the case, especially when we are evaluating on test data that are themselves noisy. The best practice is to run cleanlab to identify potential label issues and then manually review them, before blindly trusting any accuracy metrics. In particular, the most effort should be made to ensure high-quality test data, which is supposed to reflect the expected performance of our diff --git a/master/tutorials/text.ipynb b/master/tutorials/text.ipynb index b60eecfa6..54533810f 100644 --- a/master/tutorials/text.ipynb +++ b/master/tutorials/text.ipynb @@ -114,10 +114,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:10.122653Z", - "iopub.status.busy": "2023-11-02T15:25:10.122329Z", - "iopub.status.idle": "2023-11-02T15:25:14.212505Z", - "shell.execute_reply": "2023-11-02T15:25:14.211471Z" + "iopub.execute_input": "2023-11-04T09:26:23.366362Z", + "iopub.status.busy": "2023-11-04T09:26:23.366167Z", + "iopub.status.idle": "2023-11-04T09:26:25.371985Z", + "shell.execute_reply": "2023-11-04T09:26:25.371363Z" }, "nbsphinx": "hidden" }, @@ -134,7 +134,7 @@ "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -159,10 +159,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.217035Z", - "iopub.status.busy": "2023-11-02T15:25:14.216558Z", - "iopub.status.idle": "2023-11-02T15:25:14.223246Z", - "shell.execute_reply": "2023-11-02T15:25:14.222307Z" + "iopub.execute_input": "2023-11-04T09:26:25.374977Z", + "iopub.status.busy": "2023-11-04T09:26:25.374461Z", + "iopub.status.idle": "2023-11-04T09:26:25.378040Z", + "shell.execute_reply": "2023-11-04T09:26:25.377464Z" } }, "outputs": [], @@ -184,10 +184,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.226863Z", - "iopub.status.busy": "2023-11-02T15:25:14.226423Z", - "iopub.status.idle": "2023-11-02T15:25:14.231963Z", - "shell.execute_reply": "2023-11-02T15:25:14.230944Z" + "iopub.execute_input": "2023-11-04T09:26:25.380304Z", + "iopub.status.busy": "2023-11-04T09:26:25.379999Z", + "iopub.status.idle": "2023-11-04T09:26:25.383278Z", + "shell.execute_reply": "2023-11-04T09:26:25.382764Z" }, "nbsphinx": "hidden" }, @@ -218,10 +218,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.235928Z", - "iopub.status.busy": "2023-11-02T15:25:14.235211Z", - "iopub.status.idle": "2023-11-02T15:25:14.367541Z", - "shell.execute_reply": "2023-11-02T15:25:14.366488Z" + "iopub.execute_input": "2023-11-04T09:26:25.385578Z", + "iopub.status.busy": "2023-11-04T09:26:25.385225Z", + "iopub.status.idle": "2023-11-04T09:26:25.434736Z", + "shell.execute_reply": "2023-11-04T09:26:25.434198Z" } }, "outputs": [ @@ -311,10 +311,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.373440Z", - "iopub.status.busy": "2023-11-02T15:25:14.372430Z", - "iopub.status.idle": "2023-11-02T15:25:14.380670Z", - "shell.execute_reply": "2023-11-02T15:25:14.379719Z" + "iopub.execute_input": "2023-11-04T09:26:25.437036Z", + "iopub.status.busy": "2023-11-04T09:26:25.436740Z", + "iopub.status.idle": "2023-11-04T09:26:25.440303Z", + "shell.execute_reply": "2023-11-04T09:26:25.439763Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.384636Z", - "iopub.status.busy": "2023-11-02T15:25:14.384285Z", - "iopub.status.idle": "2023-11-02T15:25:14.390442Z", - "shell.execute_reply": "2023-11-02T15:25:14.389415Z" + "iopub.execute_input": "2023-11-04T09:26:25.442561Z", + "iopub.status.busy": "2023-11-04T09:26:25.442201Z", + "iopub.status.idle": "2023-11-04T09:26:25.445812Z", + "shell.execute_reply": "2023-11-04T09:26:25.445190Z" } }, "outputs": [ @@ -341,7 +341,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'visa_or_mastercard', 'lost_or_stolen_phone', 'cancel_transfer', 'card_payment_fee_charged', 'getting_spare_card', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'change_pin'}\n" + "Classes: {'card_payment_fee_charged', 'lost_or_stolen_phone', 'getting_spare_card', 'visa_or_mastercard', 'change_pin', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'cancel_transfer', 'card_about_to_expire'}\n" ] } ], @@ -364,10 +364,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.395218Z", - "iopub.status.busy": "2023-11-02T15:25:14.394920Z", - "iopub.status.idle": "2023-11-02T15:25:14.401331Z", - "shell.execute_reply": "2023-11-02T15:25:14.400418Z" + "iopub.execute_input": "2023-11-04T09:26:25.448243Z", + "iopub.status.busy": "2023-11-04T09:26:25.447884Z", + "iopub.status.idle": "2023-11-04T09:26:25.451250Z", + "shell.execute_reply": "2023-11-04T09:26:25.450634Z" } }, "outputs": [ @@ -408,10 +408,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.405772Z", - "iopub.status.busy": "2023-11-02T15:25:14.405475Z", - "iopub.status.idle": "2023-11-02T15:25:14.410857Z", - "shell.execute_reply": "2023-11-02T15:25:14.409911Z" + "iopub.execute_input": "2023-11-04T09:26:25.453673Z", + "iopub.status.busy": "2023-11-04T09:26:25.453305Z", + "iopub.status.idle": "2023-11-04T09:26:25.456638Z", + "shell.execute_reply": "2023-11-04T09:26:25.456093Z" } }, "outputs": [], @@ -452,10 +452,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:14.415091Z", - "iopub.status.busy": "2023-11-02T15:25:14.414778Z", - "iopub.status.idle": "2023-11-02T15:25:20.963319Z", - "shell.execute_reply": "2023-11-02T15:25:20.962309Z" + "iopub.execute_input": "2023-11-04T09:26:25.459171Z", + "iopub.status.busy": "2023-11-04T09:26:25.458778Z", + "iopub.status.idle": "2023-11-04T09:26:34.217993Z", + "shell.execute_reply": "2023-11-04T09:26:34.217281Z" } }, "outputs": [ @@ -502,10 +502,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.968574Z", - "iopub.status.busy": "2023-11-02T15:25:20.967937Z", - "iopub.status.idle": "2023-11-02T15:25:20.972144Z", - "shell.execute_reply": "2023-11-02T15:25:20.971221Z" + "iopub.execute_input": "2023-11-04T09:26:34.221388Z", + "iopub.status.busy": "2023-11-04T09:26:34.221154Z", + "iopub.status.idle": "2023-11-04T09:26:34.224277Z", + "shell.execute_reply": "2023-11-04T09:26:34.223638Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.976555Z", - "iopub.status.busy": "2023-11-02T15:25:20.975881Z", - "iopub.status.idle": "2023-11-02T15:25:20.980203Z", - "shell.execute_reply": "2023-11-02T15:25:20.979150Z" + "iopub.execute_input": "2023-11-04T09:26:34.226480Z", + "iopub.status.busy": "2023-11-04T09:26:34.226275Z", + "iopub.status.idle": "2023-11-04T09:26:34.229085Z", + "shell.execute_reply": "2023-11-04T09:26:34.228534Z" } }, "outputs": [], @@ -545,10 +545,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:20.984525Z", - "iopub.status.busy": "2023-11-02T15:25:20.983587Z", - "iopub.status.idle": "2023-11-02T15:25:24.801367Z", - "shell.execute_reply": "2023-11-02T15:25:24.799760Z" + "iopub.execute_input": "2023-11-04T09:26:34.231350Z", + "iopub.status.busy": "2023-11-04T09:26:34.231149Z", + "iopub.status.idle": "2023-11-04T09:26:36.428283Z", + "shell.execute_reply": "2023-11-04T09:26:36.427568Z" }, "scrolled": true }, @@ -571,10 +571,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.808489Z", - "iopub.status.busy": "2023-11-02T15:25:24.806642Z", - "iopub.status.idle": "2023-11-02T15:25:24.821246Z", - "shell.execute_reply": "2023-11-02T15:25:24.819869Z" + "iopub.execute_input": "2023-11-04T09:26:36.432204Z", + "iopub.status.busy": "2023-11-04T09:26:36.431208Z", + "iopub.status.idle": "2023-11-04T09:26:36.439636Z", + "shell.execute_reply": "2023-11-04T09:26:36.439129Z" } }, "outputs": [ @@ -609,35 +609,35 @@ " \n", " 0\n", " False\n", - " 0.857900\n", + " 0.858050\n", " 6\n", " 6\n", " \n", " \n", " 1\n", " False\n", - " 0.545836\n", + " 0.545854\n", " 3\n", " 3\n", " \n", " \n", " 2\n", " False\n", - " 0.826185\n", + " 0.826194\n", " 7\n", " 7\n", " \n", " \n", " 3\n", " False\n", - " 0.965809\n", + " 0.965814\n", " 8\n", " 8\n", " \n", " \n", " 4\n", " False\n", - " 0.792077\n", + " 0.791923\n", " 4\n", " 4\n", " \n", @@ -647,11 +647,11 @@ ], "text/plain": [ " is_label_issue label_quality given_label predicted_label\n", - "0 False 0.857900 6 6\n", - "1 False 0.545836 3 3\n", - "2 False 0.826185 7 7\n", - "3 False 0.965809 8 8\n", - "4 False 0.792077 4 4" + "0 False 0.858050 6 6\n", + "1 False 0.545854 3 3\n", + "2 False 0.826194 7 7\n", + "3 False 0.965814 8 8\n", + "4 False 0.791923 4 4" ] }, "execution_count": 13, @@ -675,10 +675,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.825858Z", - "iopub.status.busy": "2023-11-02T15:25:24.825237Z", - "iopub.status.idle": "2023-11-02T15:25:24.833419Z", - "shell.execute_reply": "2023-11-02T15:25:24.832299Z" + "iopub.execute_input": "2023-11-04T09:26:36.442055Z", + "iopub.status.busy": "2023-11-04T09:26:36.441746Z", + "iopub.status.idle": "2023-11-04T09:26:36.446028Z", + "shell.execute_reply": "2023-11-04T09:26:36.445374Z" } }, "outputs": [], @@ -692,10 +692,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.837715Z", - "iopub.status.busy": "2023-11-02T15:25:24.837120Z", - "iopub.status.idle": "2023-11-02T15:25:24.842301Z", - "shell.execute_reply": "2023-11-02T15:25:24.841421Z" + "iopub.execute_input": "2023-11-04T09:26:36.448403Z", + "iopub.status.busy": "2023-11-04T09:26:36.447922Z", + "iopub.status.idle": "2023-11-04T09:26:36.451565Z", + "shell.execute_reply": "2023-11-04T09:26:36.450960Z" } }, "outputs": [ @@ -730,10 +730,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.846365Z", - "iopub.status.busy": "2023-11-02T15:25:24.845780Z", - "iopub.status.idle": "2023-11-02T15:25:24.850942Z", - "shell.execute_reply": "2023-11-02T15:25:24.849598Z" + "iopub.execute_input": "2023-11-04T09:26:36.454005Z", + "iopub.status.busy": "2023-11-04T09:26:36.453511Z", + "iopub.status.idle": "2023-11-04T09:26:36.456848Z", + "shell.execute_reply": "2023-11-04T09:26:36.456229Z" } }, "outputs": [], @@ -753,10 +753,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.855071Z", - "iopub.status.busy": "2023-11-02T15:25:24.854741Z", - "iopub.status.idle": "2023-11-02T15:25:24.867911Z", - "shell.execute_reply": "2023-11-02T15:25:24.866749Z" + "iopub.execute_input": "2023-11-04T09:26:36.459464Z", + "iopub.status.busy": "2023-11-04T09:26:36.459016Z", + "iopub.status.idle": "2023-11-04T09:26:36.466508Z", + "shell.execute_reply": "2023-11-04T09:26:36.465973Z" } }, "outputs": [ @@ -881,10 +881,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:24.873797Z", - "iopub.status.busy": "2023-11-02T15:25:24.873186Z", - "iopub.status.idle": "2023-11-02T15:25:25.261875Z", - "shell.execute_reply": "2023-11-02T15:25:25.260990Z" + "iopub.execute_input": "2023-11-04T09:26:36.469002Z", + "iopub.status.busy": "2023-11-04T09:26:36.468626Z", + "iopub.status.idle": "2023-11-04T09:26:36.709208Z", + "shell.execute_reply": "2023-11-04T09:26:36.708493Z" }, "scrolled": true }, @@ -923,10 +923,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:25.268461Z", - "iopub.status.busy": "2023-11-02T15:25:25.266538Z", - "iopub.status.idle": "2023-11-02T15:25:25.695806Z", - "shell.execute_reply": "2023-11-02T15:25:25.694867Z" + "iopub.execute_input": "2023-11-04T09:26:36.712450Z", + "iopub.status.busy": "2023-11-04T09:26:36.712004Z", + "iopub.status.idle": "2023-11-04T09:26:37.006255Z", + "shell.execute_reply": "2023-11-04T09:26:37.005617Z" }, "scrolled": true }, @@ -935,7 +935,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Test accuracy of cleanlab's model: 0.9\n" + "Test accuracy of cleanlab's model: 0.91\n" ] } ], @@ -959,10 +959,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:25.700871Z", - "iopub.status.busy": "2023-11-02T15:25:25.700305Z", - "iopub.status.idle": "2023-11-02T15:25:25.708850Z", - "shell.execute_reply": "2023-11-02T15:25:25.707940Z" + "iopub.execute_input": "2023-11-04T09:26:37.009494Z", + "iopub.status.busy": "2023-11-04T09:26:37.009061Z", + "iopub.status.idle": "2023-11-04T09:26:37.013220Z", + "shell.execute_reply": "2023-11-04T09:26:37.012649Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html index a2e47534c..2d604deeb 100644 --- a/master/tutorials/token_classification.html +++ b/master/tutorials/token_classification.html @@ -857,16 +857,16 @@

1. Install required dependencies and download data 
---2023-11-02 15:25:31--  https://data.deepai.org/conll2003.zip
-Resolving data.deepai.org (data.deepai.org)... 143.244.50.90, 2400:52e0:1a01::1001:1
-Connecting to data.deepai.org (data.deepai.org)|143.244.50.90|:443... connected.
+--2023-11-04 09:26:42--  https://data.deepai.org/conll2003.zip
+Resolving data.deepai.org (data.deepai.org)... 169.150.236.99, 2400:52e0:1a00::941:1
+Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
 
-conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s
+conll2003.zip       100%[===================>] 959.94K  5.38MB/s    in 0.2s
 
-2023-11-02 15:25:31 (6.50 MB/s) - ‘conll2003.zip’ saved [982975/982975]
+2023-11-04 09:26:42 (5.38 MB/s) - ‘conll2003.zip’ saved [982975/982975]
 
 mkdir: cannot create directory ‘data’: File exists
 Archive:  conll2003.zip
@@ -874,16 +874,16 @@ 
1. Install required dependencies and download data
diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb index 6e3a1dadb..47ef32c52 100644 --- a/master/tutorials/token_classification.ipynb +++ b/master/tutorials/token_classification.ipynb @@ -75,10 +75,10 @@ "id": "ae8a08e0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:31.547394Z", - "iopub.status.busy": "2023-11-02T15:25:31.546506Z", - "iopub.status.idle": "2023-11-02T15:25:33.874027Z", - "shell.execute_reply": "2023-11-02T15:25:33.872542Z" + "iopub.execute_input": "2023-11-04T09:26:42.213668Z", + "iopub.status.busy": "2023-11-04T09:26:42.213136Z", + "iopub.status.idle": "2023-11-04T09:26:43.527461Z", + "shell.execute_reply": "2023-11-04T09:26:43.526752Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-11-02 15:25:31-- https://data.deepai.org/conll2003.zip\r\n", + "--2023-11-04 09:26:42-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,16 +94,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "143.244.50.90, 2400:52e0:1a01::1001:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|143.244.50.90|:443... connected.\r\n", - "HTTP request sent, awaiting response... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "200 OK\r\n", + "169.150.236.99, 2400:52e0:1a00::941:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|169.150.236.99|:443... connected.\r\n", + "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -116,9 +109,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", + "conll2003.zip 100%[===================>] 959.94K 5.38MB/s in 0.2s \r\n", "\r\n", - "2023-11-02 15:25:31 (6.50 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2023-11-04 09:26:42 (5.38 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -138,22 +131,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-11-02 15:25:32-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.204.17, 54.231.160.57, 52.217.231.65, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.204.17|:443... " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "connected.\r\n" + "--2023-11-04 09:26:42-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.168.17, 16.182.68.129, 54.231.166.249, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.168.17|:443... " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "connected.\r\n", "HTTP request sent, awaiting response... " ] }, @@ -174,23 +161,7 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 0%[ ] 118.90K 521KB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 6%[> ] 1.11M 2.43MB/s " - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\r", - "pred_probs.npz 45%[========> ] 7.39M 10.7MB/s " + "pred_probs.npz 38%[======> ] 6.33M 31.6MB/s " ] }, { @@ -198,10 +169,9 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 98%[==================> ] 16.05M 17.4MB/s \r", - "pred_probs.npz 100%[===================>] 16.26M 17.6MB/s in 0.9s \r\n", + "pred_probs.npz 100%[===================>] 16.26M 58.7MB/s in 0.3s \r\n", "\r\n", - "2023-11-02 15:25:33 (17.6 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2023-11-04 09:26:43 (58.7 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -218,10 +188,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:33.879577Z", - "iopub.status.busy": "2023-11-02T15:25:33.879227Z", - "iopub.status.idle": "2023-11-02T15:25:35.563876Z", - "shell.execute_reply": "2023-11-02T15:25:35.562737Z" + "iopub.execute_input": "2023-11-04T09:26:43.530634Z", + "iopub.status.busy": "2023-11-04T09:26:43.530385Z", + "iopub.status.idle": "2023-11-04T09:26:44.518033Z", + "shell.execute_reply": "2023-11-04T09:26:44.517397Z" }, "nbsphinx": "hidden" }, @@ -232,7 +202,7 @@ "dependencies = [\"cleanlab\"]\n", "\n", "if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n", - " %pip install git+https://github.com/cleanlab/cleanlab.git@afafe4e9f59240c0d7d1dafbd1dde3532e2a41df\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@19efa9ab0bd65981fc4e9e1966bbb4564081966d\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -258,10 +228,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.568365Z", - "iopub.status.busy": "2023-11-02T15:25:35.567762Z", - "iopub.status.idle": "2023-11-02T15:25:35.574662Z", - "shell.execute_reply": "2023-11-02T15:25:35.573725Z" + "iopub.execute_input": "2023-11-04T09:26:44.520951Z", + "iopub.status.busy": "2023-11-04T09:26:44.520445Z", + "iopub.status.idle": "2023-11-04T09:26:44.524139Z", + "shell.execute_reply": "2023-11-04T09:26:44.523623Z" } }, "outputs": [], @@ -311,10 +281,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.578785Z", - "iopub.status.busy": "2023-11-02T15:25:35.578117Z", - "iopub.status.idle": "2023-11-02T15:25:35.583153Z", - "shell.execute_reply": "2023-11-02T15:25:35.582212Z" + "iopub.execute_input": "2023-11-04T09:26:44.526666Z", + "iopub.status.busy": "2023-11-04T09:26:44.526180Z", + "iopub.status.idle": "2023-11-04T09:26:44.529385Z", + "shell.execute_reply": "2023-11-04T09:26:44.528883Z" }, "nbsphinx": "hidden" }, @@ -332,10 +302,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:35.586699Z", - "iopub.status.busy": "2023-11-02T15:25:35.586408Z", - "iopub.status.idle": "2023-11-02T15:25:49.528234Z", - "shell.execute_reply": "2023-11-02T15:25:49.527067Z" + "iopub.execute_input": "2023-11-04T09:26:44.531824Z", + "iopub.status.busy": "2023-11-04T09:26:44.531385Z", + "iopub.status.idle": "2023-11-04T09:26:52.439981Z", + "shell.execute_reply": "2023-11-04T09:26:52.439303Z" } }, "outputs": [], @@ -409,10 +379,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:49.532817Z", - "iopub.status.busy": "2023-11-02T15:25:49.532446Z", - "iopub.status.idle": "2023-11-02T15:25:49.543261Z", - "shell.execute_reply": "2023-11-02T15:25:49.542272Z" + "iopub.execute_input": "2023-11-04T09:26:52.442879Z", + "iopub.status.busy": "2023-11-04T09:26:52.442629Z", + "iopub.status.idle": "2023-11-04T09:26:52.448555Z", + "shell.execute_reply": "2023-11-04T09:26:52.447929Z" }, "nbsphinx": "hidden" }, @@ -452,10 +422,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:49.547607Z", - "iopub.status.busy": "2023-11-02T15:25:49.547258Z", - "iopub.status.idle": "2023-11-02T15:25:50.330234Z", - "shell.execute_reply": "2023-11-02T15:25:50.329066Z" + "iopub.execute_input": "2023-11-04T09:26:52.450897Z", + "iopub.status.busy": "2023-11-04T09:26:52.450468Z", + "iopub.status.idle": "2023-11-04T09:26:52.843977Z", + "shell.execute_reply": "2023-11-04T09:26:52.843256Z" } }, "outputs": [], @@ -492,10 +462,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:50.334792Z", - "iopub.status.busy": "2023-11-02T15:25:50.334444Z", - "iopub.status.idle": "2023-11-02T15:25:50.344687Z", - "shell.execute_reply": "2023-11-02T15:25:50.343690Z" + "iopub.execute_input": "2023-11-04T09:26:52.847083Z", + "iopub.status.busy": "2023-11-04T09:26:52.846696Z", + "iopub.status.idle": "2023-11-04T09:26:52.851927Z", + "shell.execute_reply": "2023-11-04T09:26:52.851397Z" } }, "outputs": [ @@ -567,10 +537,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:50.349163Z", - "iopub.status.busy": "2023-11-02T15:25:50.348798Z", - "iopub.status.idle": "2023-11-02T15:25:53.878811Z", - "shell.execute_reply": "2023-11-02T15:25:53.877194Z" + "iopub.execute_input": "2023-11-04T09:26:52.854342Z", + "iopub.status.busy": "2023-11-04T09:26:52.853981Z", + "iopub.status.idle": "2023-11-04T09:26:54.749676Z", + "shell.execute_reply": "2023-11-04T09:26:54.748895Z" } }, "outputs": [], @@ -592,10 +562,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.884326Z", - "iopub.status.busy": "2023-11-02T15:25:53.883304Z", - "iopub.status.idle": "2023-11-02T15:25:53.897999Z", - "shell.execute_reply": "2023-11-02T15:25:53.896964Z" + "iopub.execute_input": "2023-11-04T09:26:54.753157Z", + "iopub.status.busy": "2023-11-04T09:26:54.752394Z", + "iopub.status.idle": "2023-11-04T09:26:54.759451Z", + "shell.execute_reply": "2023-11-04T09:26:54.758872Z" } }, "outputs": [ @@ -631,10 +601,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.902373Z", - "iopub.status.busy": "2023-11-02T15:25:53.902039Z", - "iopub.status.idle": "2023-11-02T15:25:53.934615Z", - "shell.execute_reply": "2023-11-02T15:25:53.933424Z" + "iopub.execute_input": "2023-11-04T09:26:54.762088Z", + "iopub.status.busy": "2023-11-04T09:26:54.761717Z", + "iopub.status.idle": "2023-11-04T09:26:54.779102Z", + "shell.execute_reply": "2023-11-04T09:26:54.778598Z" } }, "outputs": [ @@ -812,10 +782,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:53.939676Z", - "iopub.status.busy": "2023-11-02T15:25:53.939086Z", - "iopub.status.idle": "2023-11-02T15:25:54.001248Z", - "shell.execute_reply": "2023-11-02T15:25:54.000165Z" + "iopub.execute_input": "2023-11-04T09:26:54.781675Z", + "iopub.status.busy": "2023-11-04T09:26:54.781294Z", + "iopub.status.idle": "2023-11-04T09:26:54.812221Z", + "shell.execute_reply": "2023-11-04T09:26:54.811719Z" } }, "outputs": [ @@ -917,10 +887,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:54.005615Z", - "iopub.status.busy": "2023-11-02T15:25:54.005259Z", - "iopub.status.idle": "2023-11-02T15:25:54.019524Z", - "shell.execute_reply": "2023-11-02T15:25:54.018511Z" + "iopub.execute_input": "2023-11-04T09:26:54.814796Z", + "iopub.status.busy": "2023-11-04T09:26:54.814442Z", + "iopub.status.idle": "2023-11-04T09:26:54.822845Z", + "shell.execute_reply": "2023-11-04T09:26:54.822342Z" } }, "outputs": [ @@ -994,10 +964,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:54.024085Z", - "iopub.status.busy": "2023-11-02T15:25:54.023715Z", - "iopub.status.idle": "2023-11-02T15:25:57.422363Z", - "shell.execute_reply": "2023-11-02T15:25:57.421225Z" + "iopub.execute_input": "2023-11-04T09:26:54.825181Z", + "iopub.status.busy": "2023-11-04T09:26:54.824816Z", + "iopub.status.idle": "2023-11-04T09:26:56.592022Z", + "shell.execute_reply": "2023-11-04T09:26:56.591412Z" } }, "outputs": [ @@ -1169,10 +1139,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2023-11-02T15:25:57.426694Z", - "iopub.status.busy": "2023-11-02T15:25:57.426334Z", - "iopub.status.idle": "2023-11-02T15:25:57.433970Z", - "shell.execute_reply": "2023-11-02T15:25:57.432833Z" + "iopub.execute_input": "2023-11-04T09:26:56.594750Z", + "iopub.status.busy": "2023-11-04T09:26:56.594322Z", + "iopub.status.idle": "2023-11-04T09:26:56.598656Z", + "shell.execute_reply": "2023-11-04T09:26:56.598107Z" }, "nbsphinx": "hidden" }, diff --git a/versioning.js b/versioning.js index 46d5b3baa..f418f1df5 100644 --- a/versioning.js +++ b/versioning.js @@ -1,4 +1,4 @@ var Version = { version_number: "v2.5.0", - commit_hash: "afafe4e9f59240c0d7d1dafbd1dde3532e2a41df", + commit_hash: "19efa9ab0bd65981fc4e9e1966bbb4564081966d", }; \ No newline at end of file