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zYw=KaQEQdsVIiD^Kk!uoz?@mxWh^eMt%w#~G(fvs-MRlYJ(NFg_nN9^-~M$_8@iX! z1!us0r%@FTrp>|zI%%Vn`tLx=IK2I92TxJcKy8kwY2DqB^tmy$-|J@7QS!20)8zj} z)@ypgznb;hqfs_iYTz1~O9D_i%!rsd&>{jbFanXaowH$_%s9#|g>Gv&5m Xb}Xb$mu*sxQhLH3-l%eNCb#=P1Cg2z diff --git a/master/.doctrees/index.doctree b/master/.doctrees/index.doctree index bf72187c9c1120542ebfa5b762bb1484599f1f01..d7f780a715c5e14221756d1800b34d80c4e3bd25 100644 GIT binary patch delta 64 zcmX?jhUwrLrVTBOhB=lQMdm40srr`YsTN5V#^%Y!sRowjCW*\n", " \n", " \n", - " is_dark_issue\n", " dark_score\n", + " is_dark_issue\n", " \n", " \n", " \n", " \n", " 34848\n", - " True\n", " 0.203922\n", + " True\n", " \n", " \n", " 50270\n", - " True\n", " 0.204588\n", + " True\n", " \n", " \n", " 3936\n", - " True\n", " 0.213098\n", + " True\n", " \n", " \n", " 733\n", - " True\n", " 0.217686\n", + " True\n", " \n", " \n", " 8094\n", - " True\n", " 0.230118\n", + " True\n", " \n", " \n", "\n", "" ], "text/plain": [ - " is_dark_issue dark_score\n", - "34848 True 0.203922\n", - "50270 True 0.204588\n", - "3936 True 0.213098\n", - "733 True 0.217686\n", - "8094 True 0.230118" + " dark_score is_dark_issue\n", + "34848 0.203922 True\n", + "50270 0.204588 True\n", + "3936 0.213098 True\n", + "733 0.217686 True\n", + "8094 0.230118 True" ] }, "execution_count": 26, @@ -2596,10 +2620,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:28.266967Z", - "iopub.status.busy": "2024-02-08T04:29:28.266794Z", - "iopub.status.idle": "2024-02-08T04:29:28.272101Z", - "shell.execute_reply": "2024-02-08T04:29:28.271528Z" + "iopub.execute_input": "2024-02-08T05:16:18.254337Z", + "iopub.status.busy": "2024-02-08T05:16:18.254007Z", + "iopub.status.idle": "2024-02-08T05:16:18.259914Z", + "shell.execute_reply": "2024-02-08T05:16:18.259362Z" }, "nbsphinx": "hidden" }, @@ -2636,10 +2660,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:28.274106Z", - "iopub.status.busy": "2024-02-08T04:29:28.273933Z", - "iopub.status.idle": "2024-02-08T04:29:28.448369Z", - "shell.execute_reply": "2024-02-08T04:29:28.447945Z" + "iopub.execute_input": "2024-02-08T05:16:18.262797Z", + "iopub.status.busy": "2024-02-08T05:16:18.261859Z", + "iopub.status.idle": "2024-02-08T05:16:18.467078Z", + "shell.execute_reply": "2024-02-08T05:16:18.466624Z" } }, "outputs": [ @@ -2681,10 +2705,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:28.450416Z", - "iopub.status.busy": "2024-02-08T04:29:28.450253Z", - "iopub.status.idle": "2024-02-08T04:29:28.457374Z", - "shell.execute_reply": "2024-02-08T04:29:28.456949Z" + "iopub.execute_input": "2024-02-08T05:16:18.469453Z", + "iopub.status.busy": "2024-02-08T05:16:18.469266Z", + "iopub.status.idle": "2024-02-08T05:16:18.477401Z", + "shell.execute_reply": "2024-02-08T05:16:18.476936Z" } }, "outputs": [ @@ -2709,47 +2733,47 @@ " \n", " \n", " \n", - " low_information_score\n", " is_low_information_issue\n", + " low_information_score\n", " \n", " \n", " \n", " \n", " 53050\n", - " 0.067975\n", " True\n", + " 0.067975\n", " \n", " \n", " 40875\n", - " 0.089929\n", " True\n", + " 0.089929\n", " \n", " \n", " 9594\n", - " 0.092601\n", " True\n", + " 0.092601\n", " \n", " \n", " 34825\n", - " 0.107744\n", " True\n", + " 0.107744\n", " \n", " \n", " 37530\n", - " 0.108516\n", " True\n", + " 0.108516\n", " \n", " \n", "\n", "" ], "text/plain": [ - " 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" + " 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" ] }, "execution_count": 29, @@ -2770,10 +2794,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:28.459371Z", 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"IPY_MODEL_76145457ff634734ab36f88825eb03f4", - "tabbable": null, - "tooltip": null, - "value": 60000.0 + "background": null, + "description_width": "", + "font_size": null, + "text_color": null } }, - "e589d0c9f4074d929f567d526d1382cd": { + "e7800f2f49ce4746b2842751e0616d59": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", @@ -4963,16 +5006,16 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - "IPY_MODEL_b3c252ad82284cfebb7d60516a02a5c8", - "IPY_MODEL_c0e317ca2efa410b9b4b1b686da287f3", - "IPY_MODEL_a2342367645f4628a390dd1f293fe17a" + "IPY_MODEL_7e37a4f7322147979cf7891faa98ee14", + "IPY_MODEL_dfd15be73a8148cdb1ab8b91c3f276a7", + "IPY_MODEL_1ec724c611f14ab38760c5b566b9582f" ], - "layout": "IPY_MODEL_cf33f9566dfc4d708dcbfd58fe688462", + "layout": "IPY_MODEL_4418d7b6a1184fb2a4103b6e70f569aa", "tabbable": null, "tooltip": null } }, - "e6777fbed25941949ac8a3d865aed819": { + "ee8b1d7e105c4d54aeff1bbda21c46cf": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5025,31 +5068,48 @@ "width": null } }, - "ea33752ef0e44cc7a07b481740f0d64f": { + "effe32e5f0a941f080bbc9527408df9b": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HBoxModel", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "f69d38dc83a4401bb43f2a3672cfcb79": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_200fde7945ec4df980b83907c2e129ef", - "IPY_MODEL_48334b3517aa4ba7832a21e78f093fdd", - "IPY_MODEL_884ffee63a00480ea5edbb59b662c16f" - ], - "layout": "IPY_MODEL_ffae2d4faf394024b9fa81123e38597b", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_2c0f9fff6e4c405fa1bfc4e835f67e87", + "placeholder": "​", + "style": "IPY_MODEL_2aa613cbd16f441d9edaca57135cb071", "tabbable": null, - "tooltip": null + "tooltip": null, + "value": "Downloading data: 100%" } }, - "edfeed6b7cf649fda36e013a4fdaa7ff": { + "f7a0422ab0104b88942f6e13074466fd": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5102,7 +5162,30 @@ "width": null } }, - "ef735a55d4af44f0ae295a9724d55bf7": { + "f98496a8928c4621ac3e712295d0f550": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_7562623f07f54b5cbff436c2d9c3b869", + "placeholder": "​", + "style": "IPY_MODEL_810dd6ae071b4bc39252b1d0c0529379", + "tabbable": null, + "tooltip": null, + "value": " 60000/60000 [00:11<00:00, 6473.19 examples/s]" + } + }, + "fbc31c35b38e4af899f96c14b9989fb1": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5155,7 +5238,7 @@ "width": null } }, - "f0347dfa685c498e90e22335f0838175": { + "fc77e2b0e4414a47ae304a5cf6344637": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5208,25 +5291,7 @@ "width": null } }, - "f30bada11cdc4aa5a3be563b379969f3": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null - } - }, - "f62babe0a6794ddfb0512fdd7ec0d2e6": { + "fddb77a232504422a0b397d40d2ebc1e": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -5276,51 +5341,10 @@ "right": null, "top": null, "visibility": null, - "width": "20px" - } - }, - "f905fd537338456d835ebeb8895ccb67": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_564801b11acd4cf59ad85465e6a2a44d", - "placeholder": "​", - "style": "IPY_MODEL_22793e0bfd4445869a5eb18544b4933c", - "tabbable": null, - "tooltip": null, - "value": "Generating test split: " - } - }, - "fa36e53aaef54fd689bfb9d08854a360": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "background": null, - "description_width": "", - "font_size": null, - "text_color": null + "width": null } }, - "ffae2d4faf394024b9fa81123e38597b": { + "ffd7dcc7b14a4ef798b2746aa3b3c7f0": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb index 87da21dc3..0df9de925 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": "2024-02-08T04:29:32.645032Z", - "iopub.status.busy": "2024-02-08T04:29:32.644695Z", - "iopub.status.idle": "2024-02-08T04:29:33.720265Z", - "shell.execute_reply": "2024-02-08T04:29:33.719714Z" + "iopub.execute_input": "2024-02-08T05:16:23.904483Z", + "iopub.status.busy": "2024-02-08T05:16:23.904288Z", + "iopub.status.idle": "2024-02-08T05:16:25.064878Z", + "shell.execute_reply": "2024-02-08T05:16:25.064318Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:29:33.722754Z", - "iopub.status.busy": "2024-02-08T04:29:33.722495Z", - "iopub.status.idle": "2024-02-08T04:29:33.896878Z", - "shell.execute_reply": "2024-02-08T04:29:33.896375Z" + "iopub.execute_input": "2024-02-08T05:16:25.067486Z", + "iopub.status.busy": "2024-02-08T05:16:25.067046Z", + "iopub.status.idle": "2024-02-08T05:16:25.249068Z", + "shell.execute_reply": "2024-02-08T05:16:25.248446Z" }, "id": "avXlHJcXjruP" }, @@ -234,10 +234,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:33.899042Z", - "iopub.status.busy": "2024-02-08T04:29:33.898858Z", - "iopub.status.idle": "2024-02-08T04:29:33.910302Z", - "shell.execute_reply": "2024-02-08T04:29:33.909891Z" + "iopub.execute_input": "2024-02-08T05:16:25.251515Z", + "iopub.status.busy": "2024-02-08T05:16:25.251316Z", + "iopub.status.idle": "2024-02-08T05:16:25.263540Z", + "shell.execute_reply": "2024-02-08T05:16:25.263084Z" }, "nbsphinx": "hidden" }, @@ -340,10 +340,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:33.912102Z", - "iopub.status.busy": "2024-02-08T04:29:33.911929Z", - "iopub.status.idle": "2024-02-08T04:29:34.143692Z", - "shell.execute_reply": "2024-02-08T04:29:34.143115Z" + "iopub.execute_input": "2024-02-08T05:16:25.265557Z", + "iopub.status.busy": "2024-02-08T05:16:25.265345Z", + "iopub.status.idle": "2024-02-08T05:16:25.502662Z", + "shell.execute_reply": "2024-02-08T05:16:25.502081Z" } }, "outputs": [ @@ -393,10 +393,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:34.146119Z", - "iopub.status.busy": "2024-02-08T04:29:34.145722Z", - "iopub.status.idle": "2024-02-08T04:29:34.171831Z", - "shell.execute_reply": "2024-02-08T04:29:34.171416Z" + "iopub.execute_input": "2024-02-08T05:16:25.504829Z", + "iopub.status.busy": "2024-02-08T05:16:25.504610Z", + "iopub.status.idle": "2024-02-08T05:16:25.531768Z", + "shell.execute_reply": "2024-02-08T05:16:25.531124Z" } }, "outputs": [], @@ -427,10 +427,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:34.173843Z", - "iopub.status.busy": "2024-02-08T04:29:34.173536Z", - "iopub.status.idle": "2024-02-08T04:29:35.807810Z", - "shell.execute_reply": "2024-02-08T04:29:35.807175Z" + "iopub.execute_input": "2024-02-08T05:16:25.534300Z", + "iopub.status.busy": "2024-02-08T05:16:25.534072Z", + "iopub.status.idle": "2024-02-08T05:16:27.324472Z", + "shell.execute_reply": "2024-02-08T05:16:27.323774Z" } }, "outputs": [ @@ -473,10 +473,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:35.810545Z", - "iopub.status.busy": "2024-02-08T04:29:35.809961Z", - "iopub.status.idle": "2024-02-08T04:29:35.825604Z", - "shell.execute_reply": "2024-02-08T04:29:35.825067Z" + "iopub.execute_input": "2024-02-08T05:16:27.327517Z", + "iopub.status.busy": "2024-02-08T05:16:27.326712Z", + "iopub.status.idle": "2024-02-08T05:16:27.344016Z", + "shell.execute_reply": "2024-02-08T05:16:27.343410Z" }, "scrolled": true }, @@ -603,10 +603,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:35.827648Z", - "iopub.status.busy": "2024-02-08T04:29:35.827315Z", - "iopub.status.idle": "2024-02-08T04:29:37.188484Z", - "shell.execute_reply": "2024-02-08T04:29:37.187888Z" + "iopub.execute_input": "2024-02-08T05:16:27.346267Z", + "iopub.status.busy": "2024-02-08T05:16:27.345912Z", + "iopub.status.idle": "2024-02-08T05:16:28.805475Z", + "shell.execute_reply": "2024-02-08T05:16:28.804859Z" }, "id": "AaHC5MRKjruT" }, @@ -725,10 +725,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.191219Z", - "iopub.status.busy": "2024-02-08T04:29:37.190509Z", - "iopub.status.idle": "2024-02-08T04:29:37.203596Z", - "shell.execute_reply": "2024-02-08T04:29:37.203132Z" + "iopub.execute_input": "2024-02-08T05:16:28.808277Z", + "iopub.status.busy": "2024-02-08T05:16:28.807550Z", + "iopub.status.idle": "2024-02-08T05:16:28.822035Z", + "shell.execute_reply": "2024-02-08T05:16:28.821504Z" }, "id": "Wy27rvyhjruU" }, @@ -777,10 +777,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.205575Z", - "iopub.status.busy": "2024-02-08T04:29:37.205257Z", - "iopub.status.idle": "2024-02-08T04:29:37.276055Z", - "shell.execute_reply": "2024-02-08T04:29:37.275466Z" + "iopub.execute_input": "2024-02-08T05:16:28.824303Z", + "iopub.status.busy": "2024-02-08T05:16:28.823967Z", + "iopub.status.idle": "2024-02-08T05:16:28.906213Z", + "shell.execute_reply": "2024-02-08T05:16:28.905616Z" }, "id": "Db8YHnyVjruU" }, @@ -887,10 +887,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.278425Z", - "iopub.status.busy": "2024-02-08T04:29:37.277958Z", - "iopub.status.idle": "2024-02-08T04:29:37.484301Z", - "shell.execute_reply": "2024-02-08T04:29:37.483767Z" + "iopub.execute_input": "2024-02-08T05:16:28.908687Z", + "iopub.status.busy": "2024-02-08T05:16:28.908315Z", + "iopub.status.idle": "2024-02-08T05:16:29.122035Z", + "shell.execute_reply": "2024-02-08T05:16:29.121452Z" }, "id": "iJqAHuS2jruV" }, @@ -927,10 +927,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.486294Z", - "iopub.status.busy": "2024-02-08T04:29:37.486111Z", - "iopub.status.idle": "2024-02-08T04:29:37.502750Z", - "shell.execute_reply": "2024-02-08T04:29:37.502299Z" + "iopub.execute_input": "2024-02-08T05:16:29.124454Z", + "iopub.status.busy": "2024-02-08T05:16:29.124090Z", + "iopub.status.idle": "2024-02-08T05:16:29.141232Z", + "shell.execute_reply": "2024-02-08T05:16:29.140709Z" }, "id": "PcPTZ_JJG3Cx" }, @@ -1396,10 +1396,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.504575Z", - "iopub.status.busy": "2024-02-08T04:29:37.504403Z", - "iopub.status.idle": "2024-02-08T04:29:37.514117Z", - "shell.execute_reply": "2024-02-08T04:29:37.513675Z" + "iopub.execute_input": "2024-02-08T05:16:29.143296Z", + "iopub.status.busy": "2024-02-08T05:16:29.143026Z", + "iopub.status.idle": "2024-02-08T05:16:29.153368Z", + "shell.execute_reply": "2024-02-08T05:16:29.152882Z" }, "id": "0lonvOYvjruV" }, @@ -1546,10 +1546,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.516079Z", - "iopub.status.busy": "2024-02-08T04:29:37.515743Z", - "iopub.status.idle": "2024-02-08T04:29:37.601813Z", - "shell.execute_reply": "2024-02-08T04:29:37.601272Z" + "iopub.execute_input": "2024-02-08T05:16:29.155357Z", + "iopub.status.busy": "2024-02-08T05:16:29.155177Z", + "iopub.status.idle": "2024-02-08T05:16:29.246946Z", + "shell.execute_reply": "2024-02-08T05:16:29.246397Z" }, "id": "MfqTCa3kjruV" }, @@ -1630,10 +1630,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.604001Z", - "iopub.status.busy": "2024-02-08T04:29:37.603757Z", - "iopub.status.idle": "2024-02-08T04:29:37.719348Z", - "shell.execute_reply": "2024-02-08T04:29:37.718745Z" + "iopub.execute_input": "2024-02-08T05:16:29.249443Z", + "iopub.status.busy": "2024-02-08T05:16:29.249083Z", + "iopub.status.idle": "2024-02-08T05:16:29.393372Z", + "shell.execute_reply": "2024-02-08T05:16:29.392737Z" }, "id": "9ZtWAYXqMAPL" }, @@ -1693,10 +1693,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.721930Z", - "iopub.status.busy": "2024-02-08T04:29:37.721478Z", - "iopub.status.idle": "2024-02-08T04:29:37.725255Z", - "shell.execute_reply": "2024-02-08T04:29:37.724725Z" + "iopub.execute_input": "2024-02-08T05:16:29.395694Z", + "iopub.status.busy": "2024-02-08T05:16:29.395428Z", + "iopub.status.idle": "2024-02-08T05:16:29.399352Z", + "shell.execute_reply": "2024-02-08T05:16:29.398811Z" }, "id": "0rXP3ZPWjruW" }, @@ -1734,10 +1734,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.727192Z", - "iopub.status.busy": "2024-02-08T04:29:37.726886Z", - "iopub.status.idle": "2024-02-08T04:29:37.730475Z", - "shell.execute_reply": "2024-02-08T04:29:37.729957Z" + "iopub.execute_input": "2024-02-08T05:16:29.401424Z", + "iopub.status.busy": "2024-02-08T05:16:29.401231Z", + "iopub.status.idle": "2024-02-08T05:16:29.404974Z", + "shell.execute_reply": "2024-02-08T05:16:29.404417Z" }, "id": "-iRPe8KXjruW" }, @@ -1792,10 +1792,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.732457Z", - "iopub.status.busy": "2024-02-08T04:29:37.732160Z", - "iopub.status.idle": "2024-02-08T04:29:37.769591Z", - "shell.execute_reply": "2024-02-08T04:29:37.769152Z" + "iopub.execute_input": "2024-02-08T05:16:29.406936Z", + "iopub.status.busy": "2024-02-08T05:16:29.406750Z", + "iopub.status.idle": "2024-02-08T05:16:29.445136Z", + "shell.execute_reply": "2024-02-08T05:16:29.444538Z" }, "id": "ZpipUliyjruW" }, @@ -1846,10 +1846,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.771657Z", - "iopub.status.busy": "2024-02-08T04:29:37.771341Z", - "iopub.status.idle": "2024-02-08T04:29:37.814037Z", - "shell.execute_reply": "2024-02-08T04:29:37.813596Z" + "iopub.execute_input": "2024-02-08T05:16:29.447272Z", + "iopub.status.busy": "2024-02-08T05:16:29.447037Z", + "iopub.status.idle": "2024-02-08T05:16:29.493067Z", + "shell.execute_reply": "2024-02-08T05:16:29.492437Z" }, "id": "SLq-3q4xjruX" }, @@ -1918,10 +1918,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.815990Z", - "iopub.status.busy": "2024-02-08T04:29:37.815690Z", - "iopub.status.idle": "2024-02-08T04:29:37.905459Z", - "shell.execute_reply": "2024-02-08T04:29:37.904784Z" + "iopub.execute_input": "2024-02-08T05:16:29.495258Z", + "iopub.status.busy": "2024-02-08T05:16:29.495057Z", + "iopub.status.idle": "2024-02-08T05:16:29.598321Z", + "shell.execute_reply": "2024-02-08T05:16:29.597712Z" }, "id": "g5LHhhuqFbXK" }, @@ -1953,10 +1953,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.907986Z", - "iopub.status.busy": "2024-02-08T04:29:37.907545Z", - "iopub.status.idle": "2024-02-08T04:29:37.987051Z", - "shell.execute_reply": "2024-02-08T04:29:37.986492Z" + "iopub.execute_input": "2024-02-08T05:16:29.601066Z", + "iopub.status.busy": "2024-02-08T05:16:29.600752Z", + "iopub.status.idle": "2024-02-08T05:16:29.709010Z", + "shell.execute_reply": "2024-02-08T05:16:29.708373Z" }, "id": "p7w8F8ezBcet" }, @@ -2013,10 +2013,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:37.989407Z", - "iopub.status.busy": "2024-02-08T04:29:37.989045Z", - "iopub.status.idle": "2024-02-08T04:29:38.193150Z", - "shell.execute_reply": "2024-02-08T04:29:38.192637Z" + "iopub.execute_input": "2024-02-08T05:16:29.711482Z", + "iopub.status.busy": "2024-02-08T05:16:29.711110Z", + "iopub.status.idle": "2024-02-08T05:16:29.921984Z", + "shell.execute_reply": "2024-02-08T05:16:29.921374Z" }, "id": "WETRL74tE_sU" }, @@ -2051,10 +2051,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:38.195237Z", - "iopub.status.busy": "2024-02-08T04:29:38.194911Z", - "iopub.status.idle": "2024-02-08T04:29:38.360571Z", - "shell.execute_reply": "2024-02-08T04:29:38.359936Z" + "iopub.execute_input": "2024-02-08T05:16:29.924291Z", + "iopub.status.busy": "2024-02-08T05:16:29.923945Z", + "iopub.status.idle": "2024-02-08T05:16:30.137676Z", + "shell.execute_reply": "2024-02-08T05:16:30.137058Z" }, "id": "kCfdx2gOLmXS" }, @@ -2216,10 +2216,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:38.363019Z", - "iopub.status.busy": "2024-02-08T04:29:38.362538Z", - "iopub.status.idle": "2024-02-08T04:29:38.368605Z", - "shell.execute_reply": "2024-02-08T04:29:38.368062Z" + "iopub.execute_input": "2024-02-08T05:16:30.140295Z", + "iopub.status.busy": "2024-02-08T05:16:30.139915Z", + "iopub.status.idle": "2024-02-08T05:16:30.146272Z", + "shell.execute_reply": "2024-02-08T05:16:30.145735Z" }, "id": "-uogYRWFYnuu" }, @@ -2273,10 +2273,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:38.370392Z", - "iopub.status.busy": "2024-02-08T04:29:38.370219Z", - "iopub.status.idle": "2024-02-08T04:29:38.582389Z", - "shell.execute_reply": "2024-02-08T04:29:38.581969Z" + "iopub.execute_input": "2024-02-08T05:16:30.148427Z", + "iopub.status.busy": "2024-02-08T05:16:30.148086Z", + "iopub.status.idle": "2024-02-08T05:16:30.366341Z", + "shell.execute_reply": "2024-02-08T05:16:30.365773Z" }, "id": "pG-ljrmcYp9Q" }, @@ -2323,10 +2323,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:38.584400Z", - "iopub.status.busy": "2024-02-08T04:29:38.584220Z", - "iopub.status.idle": "2024-02-08T04:29:39.639347Z", - "shell.execute_reply": "2024-02-08T04:29:39.638773Z" + "iopub.execute_input": "2024-02-08T05:16:30.369080Z", + "iopub.status.busy": "2024-02-08T05:16:30.368616Z", + "iopub.status.idle": "2024-02-08T05:16:31.451674Z", + "shell.execute_reply": "2024-02-08T05:16:31.451027Z" }, "id": "wL3ngCnuLEWd" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb index dfa012bd1..3c2d16d5f 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": "2024-02-08T04:29:42.889519Z", - "iopub.status.busy": "2024-02-08T04:29:42.889351Z", - "iopub.status.idle": "2024-02-08T04:29:43.915960Z", - "shell.execute_reply": "2024-02-08T04:29:43.915405Z" + "iopub.execute_input": "2024-02-08T05:16:34.936998Z", + "iopub.status.busy": "2024-02-08T05:16:34.936817Z", + "iopub.status.idle": "2024-02-08T05:16:36.033944Z", + "shell.execute_reply": "2024-02-08T05:16:36.033316Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:29:43.918566Z", - "iopub.status.busy": "2024-02-08T04:29:43.918062Z", - "iopub.status.idle": "2024-02-08T04:29:43.921217Z", - "shell.execute_reply": "2024-02-08T04:29:43.920677Z" + "iopub.execute_input": "2024-02-08T05:16:36.036779Z", + "iopub.status.busy": "2024-02-08T05:16:36.036213Z", + "iopub.status.idle": "2024-02-08T05:16:36.039446Z", + "shell.execute_reply": "2024-02-08T05:16:36.038895Z" } }, "outputs": [], @@ -264,10 +264,10 @@ "id": "c37c0a69", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:43.923276Z", - "iopub.status.busy": "2024-02-08T04:29:43.922951Z", - "iopub.status.idle": "2024-02-08T04:29:43.930415Z", - "shell.execute_reply": "2024-02-08T04:29:43.929991Z" + "iopub.execute_input": "2024-02-08T05:16:36.041728Z", + "iopub.status.busy": "2024-02-08T05:16:36.041326Z", + "iopub.status.idle": "2024-02-08T05:16:36.049301Z", + "shell.execute_reply": "2024-02-08T05:16:36.048798Z" }, "nbsphinx": "hidden" }, @@ -351,10 +351,10 @@ "id": "99f69523", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:43.932385Z", - "iopub.status.busy": "2024-02-08T04:29:43.932070Z", - "iopub.status.idle": "2024-02-08T04:29:43.978343Z", - "shell.execute_reply": "2024-02-08T04:29:43.977921Z" + "iopub.execute_input": "2024-02-08T05:16:36.051266Z", + "iopub.status.busy": "2024-02-08T05:16:36.051078Z", + "iopub.status.idle": "2024-02-08T05:16:36.098632Z", + "shell.execute_reply": "2024-02-08T05:16:36.098136Z" } }, "outputs": [], @@ -380,10 +380,10 @@ "id": "8f241c16", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:43.980378Z", - "iopub.status.busy": "2024-02-08T04:29:43.980064Z", - "iopub.status.idle": "2024-02-08T04:29:43.996196Z", - "shell.execute_reply": "2024-02-08T04:29:43.995736Z" + "iopub.execute_input": "2024-02-08T05:16:36.101112Z", + "iopub.status.busy": "2024-02-08T05:16:36.100774Z", + "iopub.status.idle": "2024-02-08T05:16:36.118463Z", + "shell.execute_reply": "2024-02-08T05:16:36.117914Z" } }, "outputs": [ @@ -598,10 +598,10 @@ "id": "4f0819ba", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:43.998249Z", - "iopub.status.busy": "2024-02-08T04:29:43.997939Z", - "iopub.status.idle": "2024-02-08T04:29:44.001493Z", - "shell.execute_reply": "2024-02-08T04:29:44.001025Z" + "iopub.execute_input": "2024-02-08T05:16:36.120776Z", + "iopub.status.busy": "2024-02-08T05:16:36.120434Z", + "iopub.status.idle": "2024-02-08T05:16:36.124402Z", + "shell.execute_reply": "2024-02-08T05:16:36.123935Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "d009f347", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:44.003462Z", - "iopub.status.busy": "2024-02-08T04:29:44.003206Z", - "iopub.status.idle": "2024-02-08T04:29:44.032086Z", - "shell.execute_reply": "2024-02-08T04:29:44.031667Z" + "iopub.execute_input": "2024-02-08T05:16:36.126729Z", + "iopub.status.busy": "2024-02-08T05:16:36.126390Z", + "iopub.status.idle": "2024-02-08T05:16:36.154633Z", + "shell.execute_reply": "2024-02-08T05:16:36.154141Z" } }, "outputs": [], @@ -699,10 +699,10 @@ "id": "cbd1e415", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:44.033896Z", - "iopub.status.busy": "2024-02-08T04:29:44.033722Z", - "iopub.status.idle": "2024-02-08T04:29:44.059752Z", - "shell.execute_reply": "2024-02-08T04:29:44.059305Z" + "iopub.execute_input": "2024-02-08T05:16:36.157128Z", + "iopub.status.busy": "2024-02-08T05:16:36.156770Z", + "iopub.status.idle": "2024-02-08T05:16:36.183420Z", + "shell.execute_reply": "2024-02-08T05:16:36.182914Z" } }, "outputs": [], @@ -739,10 +739,10 @@ "id": "6ca92617", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:44.061575Z", - "iopub.status.busy": "2024-02-08T04:29:44.061407Z", - "iopub.status.idle": "2024-02-08T04:29:45.734046Z", - "shell.execute_reply": "2024-02-08T04:29:45.733523Z" + "iopub.execute_input": "2024-02-08T05:16:36.185904Z", + "iopub.status.busy": "2024-02-08T05:16:36.185669Z", + "iopub.status.idle": "2024-02-08T05:16:38.003463Z", + "shell.execute_reply": "2024-02-08T05:16:38.002793Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "id": "bf945113", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.736683Z", - "iopub.status.busy": "2024-02-08T04:29:45.736217Z", - "iopub.status.idle": "2024-02-08T04:29:45.742703Z", - "shell.execute_reply": "2024-02-08T04:29:45.742248Z" + "iopub.execute_input": "2024-02-08T05:16:38.006228Z", + "iopub.status.busy": "2024-02-08T05:16:38.005857Z", + "iopub.status.idle": "2024-02-08T05:16:38.012858Z", + "shell.execute_reply": "2024-02-08T05:16:38.012286Z" }, "scrolled": true }, @@ -886,10 +886,10 @@ "id": "14251ee0", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.744717Z", - "iopub.status.busy": "2024-02-08T04:29:45.744395Z", - "iopub.status.idle": "2024-02-08T04:29:45.756449Z", - "shell.execute_reply": "2024-02-08T04:29:45.756029Z" + "iopub.execute_input": "2024-02-08T05:16:38.015175Z", + "iopub.status.busy": "2024-02-08T05:16:38.014963Z", + "iopub.status.idle": "2024-02-08T05:16:38.028000Z", + "shell.execute_reply": "2024-02-08T05:16:38.027502Z" } }, "outputs": [ @@ -1139,10 +1139,10 @@ "id": "efe16638", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.758369Z", - "iopub.status.busy": "2024-02-08T04:29:45.757999Z", - "iopub.status.idle": "2024-02-08T04:29:45.764109Z", - "shell.execute_reply": "2024-02-08T04:29:45.763637Z" + "iopub.execute_input": "2024-02-08T05:16:38.030095Z", + "iopub.status.busy": "2024-02-08T05:16:38.029746Z", + "iopub.status.idle": "2024-02-08T05:16:38.036269Z", + "shell.execute_reply": "2024-02-08T05:16:38.035718Z" }, "scrolled": true }, @@ -1316,10 +1316,10 @@ "id": "abd0fb0b", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.766108Z", - "iopub.status.busy": "2024-02-08T04:29:45.765938Z", - "iopub.status.idle": "2024-02-08T04:29:45.768411Z", - "shell.execute_reply": "2024-02-08T04:29:45.767997Z" + "iopub.execute_input": "2024-02-08T05:16:38.038467Z", + "iopub.status.busy": "2024-02-08T05:16:38.038157Z", + "iopub.status.idle": "2024-02-08T05:16:38.040886Z", + "shell.execute_reply": "2024-02-08T05:16:38.040428Z" } }, "outputs": [], @@ -1341,10 +1341,10 @@ "id": "cdf061df", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.770202Z", - "iopub.status.busy": "2024-02-08T04:29:45.770034Z", - "iopub.status.idle": "2024-02-08T04:29:45.773298Z", - "shell.execute_reply": "2024-02-08T04:29:45.772779Z" + "iopub.execute_input": "2024-02-08T05:16:38.042877Z", + "iopub.status.busy": "2024-02-08T05:16:38.042548Z", + "iopub.status.idle": "2024-02-08T05:16:38.046125Z", + "shell.execute_reply": "2024-02-08T05:16:38.045579Z" }, "scrolled": true }, @@ -1396,10 +1396,10 @@ "id": "08949890", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.775318Z", - "iopub.status.busy": "2024-02-08T04:29:45.775018Z", - "iopub.status.idle": "2024-02-08T04:29:45.777581Z", - "shell.execute_reply": "2024-02-08T04:29:45.777139Z" + "iopub.execute_input": "2024-02-08T05:16:38.048464Z", + "iopub.status.busy": "2024-02-08T05:16:38.048004Z", + "iopub.status.idle": "2024-02-08T05:16:38.050984Z", + "shell.execute_reply": "2024-02-08T05:16:38.050453Z" } }, "outputs": [], @@ -1423,10 +1423,10 @@ "id": "6948b073", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.779440Z", - "iopub.status.busy": "2024-02-08T04:29:45.779263Z", - "iopub.status.idle": "2024-02-08T04:29:45.783182Z", - "shell.execute_reply": "2024-02-08T04:29:45.782669Z" + "iopub.execute_input": "2024-02-08T05:16:38.052798Z", + "iopub.status.busy": "2024-02-08T05:16:38.052624Z", + "iopub.status.idle": "2024-02-08T05:16:38.056584Z", + "shell.execute_reply": "2024-02-08T05:16:38.056047Z" } }, "outputs": [ @@ -1481,10 +1481,10 @@ "id": "6f8e6914", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.785161Z", - "iopub.status.busy": "2024-02-08T04:29:45.784866Z", - "iopub.status.idle": "2024-02-08T04:29:45.813727Z", - "shell.execute_reply": "2024-02-08T04:29:45.813180Z" + "iopub.execute_input": "2024-02-08T05:16:38.058708Z", + "iopub.status.busy": "2024-02-08T05:16:38.058392Z", + "iopub.status.idle": "2024-02-08T05:16:38.088017Z", + "shell.execute_reply": "2024-02-08T05:16:38.087505Z" } }, "outputs": [], @@ -1527,10 +1527,10 @@ "id": "b806d2ea", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:45.816053Z", - "iopub.status.busy": "2024-02-08T04:29:45.815717Z", - "iopub.status.idle": "2024-02-08T04:29:45.820279Z", - "shell.execute_reply": "2024-02-08T04:29:45.819724Z" + "iopub.execute_input": "2024-02-08T05:16:38.090547Z", + "iopub.status.busy": "2024-02-08T05:16:38.090159Z", + "iopub.status.idle": "2024-02-08T05:16:38.095177Z", + "shell.execute_reply": "2024-02-08T05:16:38.094708Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb index b4eaced1c..321e2cd0f 100644 --- a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb +++ b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb @@ -64,10 +64,10 @@ "id": "7383d024-8273-4039-bccd-aab3020d331f", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:48.353289Z", - "iopub.status.busy": "2024-02-08T04:29:48.353111Z", - "iopub.status.idle": "2024-02-08T04:29:49.444617Z", - "shell.execute_reply": "2024-02-08T04:29:49.444025Z" + "iopub.execute_input": "2024-02-08T05:16:40.856017Z", + "iopub.status.busy": "2024-02-08T05:16:40.855833Z", + "iopub.status.idle": "2024-02-08T05:16:42.014133Z", + "shell.execute_reply": "2024-02-08T05:16:42.013543Z" }, "nbsphinx": "hidden" }, @@ -79,7 +79,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -105,10 +105,10 @@ "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:49.447013Z", - "iopub.status.busy": "2024-02-08T04:29:49.446776Z", - "iopub.status.idle": "2024-02-08T04:29:49.635510Z", - "shell.execute_reply": "2024-02-08T04:29:49.635070Z" + "iopub.execute_input": "2024-02-08T05:16:42.016876Z", + "iopub.status.busy": "2024-02-08T05:16:42.016360Z", + "iopub.status.idle": "2024-02-08T05:16:42.218815Z", + "shell.execute_reply": "2024-02-08T05:16:42.218247Z" } }, "outputs": [], @@ -268,10 +268,10 @@ "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:49.638063Z", - "iopub.status.busy": "2024-02-08T04:29:49.637575Z", - "iopub.status.idle": "2024-02-08T04:29:49.650235Z", - "shell.execute_reply": "2024-02-08T04:29:49.649787Z" + "iopub.execute_input": "2024-02-08T05:16:42.221496Z", + "iopub.status.busy": "2024-02-08T05:16:42.221090Z", + "iopub.status.idle": "2024-02-08T05:16:42.234145Z", + "shell.execute_reply": "2024-02-08T05:16:42.233583Z" }, "nbsphinx": "hidden" }, @@ -407,10 +407,10 @@ "id": "dac65d3b-51e8-4682-b829-beab610b56d6", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:49.652052Z", - "iopub.status.busy": "2024-02-08T04:29:49.651879Z", - "iopub.status.idle": "2024-02-08T04:29:52.291472Z", - "shell.execute_reply": "2024-02-08T04:29:52.290880Z" + "iopub.execute_input": "2024-02-08T05:16:42.236297Z", + "iopub.status.busy": "2024-02-08T05:16:42.235977Z", + "iopub.status.idle": "2024-02-08T05:16:44.901042Z", + "shell.execute_reply": "2024-02-08T05:16:44.900491Z" } }, "outputs": [ @@ -452,10 +452,10 @@ "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:52.293864Z", - "iopub.status.busy": "2024-02-08T04:29:52.293436Z", - "iopub.status.idle": "2024-02-08T04:29:53.631829Z", - "shell.execute_reply": "2024-02-08T04:29:53.631305Z" + "iopub.execute_input": "2024-02-08T05:16:44.903080Z", + "iopub.status.busy": "2024-02-08T05:16:44.902895Z", + "iopub.status.idle": "2024-02-08T05:16:46.267342Z", + "shell.execute_reply": "2024-02-08T05:16:46.266780Z" } }, "outputs": [], @@ -497,10 +497,10 @@ "id": "ac1a60df", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:53.634214Z", - "iopub.status.busy": "2024-02-08T04:29:53.633866Z", - "iopub.status.idle": "2024-02-08T04:29:53.637796Z", - "shell.execute_reply": "2024-02-08T04:29:53.637329Z" + "iopub.execute_input": "2024-02-08T05:16:46.269717Z", + "iopub.status.busy": "2024-02-08T05:16:46.269521Z", + "iopub.status.idle": "2024-02-08T05:16:46.273330Z", + "shell.execute_reply": "2024-02-08T05:16:46.272768Z" } }, "outputs": [ @@ -542,10 +542,10 @@ "id": "d09115b6-ad44-474f-9c8a-85a459586439", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:53.639682Z", - "iopub.status.busy": "2024-02-08T04:29:53.639363Z", - "iopub.status.idle": "2024-02-08T04:29:55.324199Z", - "shell.execute_reply": "2024-02-08T04:29:55.323510Z" + "iopub.execute_input": "2024-02-08T05:16:46.275279Z", + "iopub.status.busy": "2024-02-08T05:16:46.275095Z", + "iopub.status.idle": "2024-02-08T05:16:48.035444Z", + "shell.execute_reply": "2024-02-08T05:16:48.034751Z" } }, "outputs": [ @@ -592,10 +592,10 @@ "id": "c18dd83b", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:55.327072Z", - "iopub.status.busy": "2024-02-08T04:29:55.326288Z", - "iopub.status.idle": "2024-02-08T04:29:55.333737Z", - "shell.execute_reply": "2024-02-08T04:29:55.333247Z" + "iopub.execute_input": "2024-02-08T05:16:48.038270Z", + "iopub.status.busy": "2024-02-08T05:16:48.037668Z", + "iopub.status.idle": "2024-02-08T05:16:48.047299Z", + "shell.execute_reply": "2024-02-08T05:16:48.046721Z" } }, "outputs": [ @@ -631,10 +631,10 @@ "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:55.335798Z", - "iopub.status.busy": "2024-02-08T04:29:55.335474Z", - "iopub.status.idle": "2024-02-08T04:29:57.891579Z", - "shell.execute_reply": "2024-02-08T04:29:57.891036Z" + "iopub.execute_input": "2024-02-08T05:16:48.049551Z", + "iopub.status.busy": "2024-02-08T05:16:48.049235Z", + "iopub.status.idle": "2024-02-08T05:16:50.851686Z", + "shell.execute_reply": "2024-02-08T05:16:50.851097Z" } }, "outputs": [ @@ -669,10 +669,10 @@ "id": "c1198575", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:57.893710Z", - "iopub.status.busy": "2024-02-08T04:29:57.893400Z", - "iopub.status.idle": "2024-02-08T04:29:57.896999Z", - "shell.execute_reply": "2024-02-08T04:29:57.896544Z" + "iopub.execute_input": "2024-02-08T05:16:50.853883Z", + "iopub.status.busy": "2024-02-08T05:16:50.853693Z", + "iopub.status.idle": "2024-02-08T05:16:50.857552Z", + "shell.execute_reply": "2024-02-08T05:16:50.857089Z" } }, "outputs": [ @@ -717,10 +717,10 @@ "id": "49161b19-7625-4fb7-add9-607d91a7eca1", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:57.899030Z", - "iopub.status.busy": "2024-02-08T04:29:57.898717Z", - "iopub.status.idle": "2024-02-08T04:29:57.903151Z", - "shell.execute_reply": "2024-02-08T04:29:57.902749Z" + "iopub.execute_input": "2024-02-08T05:16:50.859787Z", + "iopub.status.busy": "2024-02-08T05:16:50.859387Z", + "iopub.status.idle": "2024-02-08T05:16:50.863737Z", + "shell.execute_reply": "2024-02-08T05:16:50.863177Z" } }, "outputs": [], @@ -743,10 +743,10 @@ "id": "d1a2c008", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:29:57.905054Z", - "iopub.status.busy": "2024-02-08T04:29:57.904735Z", - "iopub.status.idle": "2024-02-08T04:29:57.907794Z", - "shell.execute_reply": "2024-02-08T04:29:57.907351Z" + "iopub.execute_input": "2024-02-08T05:16:50.865877Z", + "iopub.status.busy": "2024-02-08T05:16:50.865570Z", + "iopub.status.idle": "2024-02-08T05:16:50.868733Z", + "shell.execute_reply": "2024-02-08T05:16:50.868285Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb index a7d95ad7d..55126c31d 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": "2024-02-08T04:30:00.072576Z", - "iopub.status.busy": "2024-02-08T04:30:00.072400Z", - "iopub.status.idle": "2024-02-08T04:30:01.151131Z", - "shell.execute_reply": "2024-02-08T04:30:01.150594Z" + "iopub.execute_input": "2024-02-08T05:16:53.515571Z", + "iopub.status.busy": "2024-02-08T05:16:53.515376Z", + "iopub.status.idle": "2024-02-08T05:16:54.692984Z", + "shell.execute_reply": "2024-02-08T05:16:54.692402Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:30:01.153731Z", - "iopub.status.busy": "2024-02-08T04:30:01.153297Z", - "iopub.status.idle": "2024-02-08T04:30:02.565179Z", - "shell.execute_reply": "2024-02-08T04:30:02.564498Z" + "iopub.execute_input": "2024-02-08T05:16:54.695708Z", + "iopub.status.busy": "2024-02-08T05:16:54.695183Z", + "iopub.status.idle": "2024-02-08T05:16:56.971954Z", + "shell.execute_reply": "2024-02-08T05:16:56.971232Z" } }, "outputs": [], @@ -130,10 +130,10 @@ "id": "df8be4c6", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:02.567869Z", - "iopub.status.busy": "2024-02-08T04:30:02.567469Z", - "iopub.status.idle": "2024-02-08T04:30:02.570763Z", - "shell.execute_reply": "2024-02-08T04:30:02.570298Z" + "iopub.execute_input": "2024-02-08T05:16:56.974618Z", + "iopub.status.busy": "2024-02-08T05:16:56.974215Z", + "iopub.status.idle": "2024-02-08T05:16:56.977451Z", + "shell.execute_reply": "2024-02-08T05:16:56.976971Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "id": "2e9ffd6f", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:02.572807Z", - "iopub.status.busy": "2024-02-08T04:30:02.572487Z", - "iopub.status.idle": "2024-02-08T04:30:02.578556Z", - "shell.execute_reply": "2024-02-08T04:30:02.578057Z" + "iopub.execute_input": "2024-02-08T05:16:56.979612Z", + "iopub.status.busy": "2024-02-08T05:16:56.979284Z", + "iopub.status.idle": "2024-02-08T05:16:56.985472Z", + "shell.execute_reply": "2024-02-08T05:16:56.984924Z" } }, "outputs": [], @@ -198,10 +198,10 @@ "id": "56705562", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:02.580776Z", - "iopub.status.busy": "2024-02-08T04:30:02.580450Z", - "iopub.status.idle": "2024-02-08T04:30:03.070565Z", - "shell.execute_reply": "2024-02-08T04:30:03.069979Z" + "iopub.execute_input": "2024-02-08T05:16:56.987779Z", + "iopub.status.busy": "2024-02-08T05:16:56.987416Z", + "iopub.status.idle": "2024-02-08T05:16:57.488799Z", + "shell.execute_reply": "2024-02-08T05:16:57.488201Z" }, "scrolled": true }, @@ -242,10 +242,10 @@ "id": "b08144d7", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:03.073533Z", - "iopub.status.busy": "2024-02-08T04:30:03.073160Z", - "iopub.status.idle": "2024-02-08T04:30:03.078436Z", - "shell.execute_reply": "2024-02-08T04:30:03.077957Z" + "iopub.execute_input": "2024-02-08T05:16:57.491360Z", + "iopub.status.busy": "2024-02-08T05:16:57.491015Z", + "iopub.status.idle": "2024-02-08T05:16:57.496482Z", + "shell.execute_reply": "2024-02-08T05:16:57.495900Z" } }, "outputs": [ @@ -497,10 +497,10 @@ "id": "3d70bec6", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:03.080496Z", - "iopub.status.busy": "2024-02-08T04:30:03.080241Z", - "iopub.status.idle": "2024-02-08T04:30:03.083913Z", - "shell.execute_reply": "2024-02-08T04:30:03.083409Z" + "iopub.execute_input": "2024-02-08T05:16:57.498525Z", + "iopub.status.busy": "2024-02-08T05:16:57.498273Z", + "iopub.status.idle": "2024-02-08T05:16:57.502766Z", + "shell.execute_reply": "2024-02-08T05:16:57.502239Z" } }, "outputs": [ @@ -557,10 +557,10 @@ "id": "4caa635d", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:03.085945Z", - "iopub.status.busy": "2024-02-08T04:30:03.085650Z", - "iopub.status.idle": "2024-02-08T04:30:03.803366Z", - "shell.execute_reply": "2024-02-08T04:30:03.802737Z" + "iopub.execute_input": "2024-02-08T05:16:57.505115Z", + "iopub.status.busy": "2024-02-08T05:16:57.504739Z", + "iopub.status.idle": "2024-02-08T05:16:58.169542Z", + "shell.execute_reply": "2024-02-08T05:16:58.168969Z" } }, "outputs": [ @@ -616,10 +616,10 @@ "id": "a9b4c590", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:03.805530Z", - "iopub.status.busy": "2024-02-08T04:30:03.805328Z", - "iopub.status.idle": "2024-02-08T04:30:03.997894Z", - "shell.execute_reply": "2024-02-08T04:30:03.997434Z" + "iopub.execute_input": "2024-02-08T05:16:58.171773Z", + "iopub.status.busy": "2024-02-08T05:16:58.171556Z", + "iopub.status.idle": "2024-02-08T05:16:58.345846Z", + "shell.execute_reply": "2024-02-08T05:16:58.345282Z" } }, "outputs": [ @@ -660,10 +660,10 @@ "id": "ffd9ebcc", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:04.000019Z", - "iopub.status.busy": "2024-02-08T04:30:03.999818Z", - "iopub.status.idle": "2024-02-08T04:30:04.004151Z", - "shell.execute_reply": "2024-02-08T04:30:04.003695Z" + "iopub.execute_input": "2024-02-08T05:16:58.348393Z", + "iopub.status.busy": "2024-02-08T05:16:58.347973Z", + "iopub.status.idle": "2024-02-08T05:16:58.352484Z", + "shell.execute_reply": "2024-02-08T05:16:58.351962Z" } }, "outputs": [ @@ -700,10 +700,10 @@ "id": "4dd46d67", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:04.006153Z", - "iopub.status.busy": "2024-02-08T04:30:04.005847Z", - "iopub.status.idle": "2024-02-08T04:30:04.453260Z", - "shell.execute_reply": "2024-02-08T04:30:04.452625Z" + "iopub.execute_input": "2024-02-08T05:16:58.354696Z", + "iopub.status.busy": "2024-02-08T05:16:58.354301Z", + "iopub.status.idle": "2024-02-08T05:16:58.825617Z", + "shell.execute_reply": "2024-02-08T05:16:58.824990Z" } }, "outputs": [ @@ -762,10 +762,10 @@ "id": "ceec2394", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:04.455432Z", - "iopub.status.busy": "2024-02-08T04:30:04.455094Z", - "iopub.status.idle": "2024-02-08T04:30:04.785572Z", - "shell.execute_reply": "2024-02-08T04:30:04.785061Z" + "iopub.execute_input": "2024-02-08T05:16:58.828381Z", + "iopub.status.busy": "2024-02-08T05:16:58.828004Z", + "iopub.status.idle": "2024-02-08T05:16:59.167061Z", + "shell.execute_reply": "2024-02-08T05:16:59.166481Z" } }, "outputs": [ @@ -812,10 +812,10 @@ "id": "94f82b0d", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:04.787885Z", - "iopub.status.busy": "2024-02-08T04:30:04.787540Z", - "iopub.status.idle": "2024-02-08T04:30:05.150648Z", - "shell.execute_reply": "2024-02-08T04:30:05.150060Z" + "iopub.execute_input": "2024-02-08T05:16:59.169884Z", + "iopub.status.busy": "2024-02-08T05:16:59.169506Z", + "iopub.status.idle": "2024-02-08T05:16:59.539761Z", + "shell.execute_reply": "2024-02-08T05:16:59.539127Z" } }, "outputs": [ @@ -862,10 +862,10 @@ "id": "1ea18c5d", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:05.153992Z", - "iopub.status.busy": "2024-02-08T04:30:05.153625Z", - "iopub.status.idle": "2024-02-08T04:30:05.568258Z", - "shell.execute_reply": "2024-02-08T04:30:05.567723Z" + "iopub.execute_input": "2024-02-08T05:16:59.542851Z", + "iopub.status.busy": "2024-02-08T05:16:59.542457Z", + "iopub.status.idle": "2024-02-08T05:16:59.990032Z", + "shell.execute_reply": "2024-02-08T05:16:59.989412Z" } }, "outputs": [ @@ -925,10 +925,10 @@ "id": "7e770d23", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:05.572539Z", - "iopub.status.busy": "2024-02-08T04:30:05.572099Z", - "iopub.status.idle": "2024-02-08T04:30:06.017524Z", - "shell.execute_reply": "2024-02-08T04:30:06.016975Z" + "iopub.execute_input": "2024-02-08T05:16:59.994566Z", + "iopub.status.busy": "2024-02-08T05:16:59.994002Z", + "iopub.status.idle": "2024-02-08T05:17:00.455591Z", + "shell.execute_reply": "2024-02-08T05:17:00.454958Z" } }, "outputs": [ @@ -971,10 +971,10 @@ "id": "57e84a27", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:06.020497Z", - "iopub.status.busy": "2024-02-08T04:30:06.020166Z", - "iopub.status.idle": "2024-02-08T04:30:06.234814Z", - "shell.execute_reply": "2024-02-08T04:30:06.234375Z" + "iopub.execute_input": "2024-02-08T05:17:00.458928Z", + "iopub.status.busy": "2024-02-08T05:17:00.458572Z", + "iopub.status.idle": "2024-02-08T05:17:00.677651Z", + "shell.execute_reply": "2024-02-08T05:17:00.677072Z" } }, "outputs": [ @@ -1017,10 +1017,10 @@ "id": "0302818a", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:06.237004Z", - "iopub.status.busy": "2024-02-08T04:30:06.236672Z", - "iopub.status.idle": "2024-02-08T04:30:06.434144Z", - "shell.execute_reply": "2024-02-08T04:30:06.433613Z" + "iopub.execute_input": "2024-02-08T05:17:00.680076Z", + "iopub.status.busy": "2024-02-08T05:17:00.679705Z", + "iopub.status.idle": "2024-02-08T05:17:00.882051Z", + "shell.execute_reply": "2024-02-08T05:17:00.881407Z" } }, "outputs": [ @@ -1067,10 +1067,10 @@ "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:06.436337Z", - "iopub.status.busy": "2024-02-08T04:30:06.436003Z", - "iopub.status.idle": "2024-02-08T04:30:06.438847Z", - "shell.execute_reply": "2024-02-08T04:30:06.438407Z" + "iopub.execute_input": "2024-02-08T05:17:00.885010Z", + "iopub.status.busy": "2024-02-08T05:17:00.884519Z", + "iopub.status.idle": "2024-02-08T05:17:00.887731Z", + "shell.execute_reply": "2024-02-08T05:17:00.887166Z" } }, "outputs": [], @@ -1090,10 +1090,10 @@ "id": "3335b8a3-d0b4-415a-a97d-c203088a124e", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:06.440735Z", - "iopub.status.busy": "2024-02-08T04:30:06.440417Z", - "iopub.status.idle": "2024-02-08T04:30:07.319773Z", - "shell.execute_reply": "2024-02-08T04:30:07.319187Z" + "iopub.execute_input": "2024-02-08T05:17:00.889952Z", + "iopub.status.busy": "2024-02-08T05:17:00.889687Z", + "iopub.status.idle": "2024-02-08T05:17:01.918413Z", + "shell.execute_reply": "2024-02-08T05:17:01.917826Z" } }, "outputs": [ @@ -1172,10 +1172,10 @@ "id": "9d4b7677-6ebd-447d-b0a1-76e094686628", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:07.322027Z", - "iopub.status.busy": "2024-02-08T04:30:07.321586Z", - "iopub.status.idle": "2024-02-08T04:30:07.426875Z", - "shell.execute_reply": "2024-02-08T04:30:07.426398Z" + "iopub.execute_input": "2024-02-08T05:17:01.921475Z", + "iopub.status.busy": "2024-02-08T05:17:01.921090Z", + "iopub.status.idle": "2024-02-08T05:17:02.038832Z", + "shell.execute_reply": "2024-02-08T05:17:02.038270Z" } }, "outputs": [ @@ -1214,10 +1214,10 @@ "id": "59d7ee39-3785-434b-8680-9133014851cd", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:07.429007Z", - "iopub.status.busy": "2024-02-08T04:30:07.428667Z", - "iopub.status.idle": "2024-02-08T04:30:07.537965Z", - "shell.execute_reply": "2024-02-08T04:30:07.537475Z" + "iopub.execute_input": "2024-02-08T05:17:02.041133Z", + "iopub.status.busy": "2024-02-08T05:17:02.040771Z", + "iopub.status.idle": "2024-02-08T05:17:02.182078Z", + "shell.execute_reply": "2024-02-08T05:17:02.181503Z" } }, "outputs": [], @@ -1266,10 +1266,10 @@ "id": "47b6a8ff-7a58-4a1f-baee-e6cfe7a85a6d", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:07.540187Z", - "iopub.status.busy": "2024-02-08T04:30:07.539991Z", - "iopub.status.idle": "2024-02-08T04:30:08.230961Z", - "shell.execute_reply": "2024-02-08T04:30:08.230413Z" + "iopub.execute_input": "2024-02-08T05:17:02.184372Z", + "iopub.status.busy": "2024-02-08T05:17:02.184010Z", + "iopub.status.idle": "2024-02-08T05:17:02.969079Z", + "shell.execute_reply": "2024-02-08T05:17:02.968512Z" } }, "outputs": [ @@ -1351,10 +1351,10 @@ "id": "8ce74938", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:08.233141Z", - "iopub.status.busy": "2024-02-08T04:30:08.232960Z", - "iopub.status.idle": "2024-02-08T04:30:08.236653Z", - "shell.execute_reply": "2024-02-08T04:30:08.236116Z" + "iopub.execute_input": "2024-02-08T05:17:02.971374Z", + "iopub.status.busy": "2024-02-08T05:17:02.971169Z", + "iopub.status.idle": "2024-02-08T05:17:02.974933Z", + "shell.execute_reply": "2024-02-08T05:17:02.974480Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb index 65c66de70..d3b8139b6 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": "2024-02-08T04:30:10.403237Z", - "iopub.status.busy": "2024-02-08T04:30:10.403065Z", - "iopub.status.idle": "2024-02-08T04:30:13.024182Z", - "shell.execute_reply": "2024-02-08T04:30:13.023553Z" + "iopub.execute_input": "2024-02-08T05:17:05.426264Z", + "iopub.status.busy": "2024-02-08T05:17:05.425848Z", + "iopub.status.idle": "2024-02-08T05:17:08.282874Z", + "shell.execute_reply": "2024-02-08T05:17:08.282291Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:30:13.026721Z", - "iopub.status.busy": "2024-02-08T04:30:13.026419Z", - "iopub.status.idle": "2024-02-08T04:30:13.342311Z", - "shell.execute_reply": "2024-02-08T04:30:13.341724Z" + "iopub.execute_input": "2024-02-08T05:17:08.285746Z", + "iopub.status.busy": "2024-02-08T05:17:08.285258Z", + "iopub.status.idle": "2024-02-08T05:17:08.637966Z", + "shell.execute_reply": "2024-02-08T05:17:08.637382Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "3792f82e", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:13.344795Z", - "iopub.status.busy": "2024-02-08T04:30:13.344495Z", - "iopub.status.idle": "2024-02-08T04:30:13.348857Z", - "shell.execute_reply": "2024-02-08T04:30:13.348325Z" + "iopub.execute_input": "2024-02-08T05:17:08.640554Z", + "iopub.status.busy": "2024-02-08T05:17:08.640185Z", + "iopub.status.idle": "2024-02-08T05:17:08.644567Z", + "shell.execute_reply": "2024-02-08T05:17:08.644001Z" }, "nbsphinx": "hidden" }, @@ -225,10 +225,10 @@ "id": "fd853a54", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:13.351075Z", - "iopub.status.busy": "2024-02-08T04:30:13.350701Z", - "iopub.status.idle": "2024-02-08T04:30:17.722194Z", - "shell.execute_reply": "2024-02-08T04:30:17.721653Z" + "iopub.execute_input": "2024-02-08T05:17:08.646865Z", + "iopub.status.busy": "2024-02-08T05:17:08.646554Z", + "iopub.status.idle": "2024-02-08T05:17:15.879028Z", + "shell.execute_reply": "2024-02-08T05:17:15.878437Z" } }, "outputs": [ @@ -252,7 +252,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 1966080/170498071 [00:00<00:08, 19659740.68it/s]" + " 0%| | 32768/170498071 [00:00<11:11, 253804.05it/s]" ] }, { @@ -260,7 +260,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 13729792/170498071 [00:00<00:02, 77179148.66it/s]" + " 0%| | 229376/170498071 [00:00<02:51, 993776.00it/s]" ] }, { @@ -268,7 +268,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 25460736/170498071 [00:00<00:01, 95453009.47it/s]" + " 1%| | 884736/170498071 [00:00<00:59, 2843619.98it/s]" ] }, { @@ -276,7 +276,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 37191680/170498071 [00:00<00:01, 104050694.82it/s]" + " 2%|▏ | 3604480/170498071 [00:00<00:16, 9937863.72it/s]" ] }, { @@ -284,7 +284,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 48922624/170498071 [00:00<00:01, 108754354.22it/s]" + " 6%|▌ | 9568256/170498071 [00:00<00:07, 22733434.66it/s]" ] }, { @@ -292,7 +292,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 60653568/170498071 [00:00<00:00, 111599175.08it/s]" + " 9%|▉ | 15532032/170498071 [00:00<00:04, 33124010.85it/s]" ] }, { @@ -300,7 +300,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 72417280/170498071 [00:00<00:00, 113485568.58it/s]" + " 11%|█ | 19070976/170498071 [00:00<00:04, 33331594.97it/s]" ] }, { @@ -308,7 +308,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 84148224/170498071 [00:00<00:00, 114683185.40it/s]" + " 15%|█▍ | 25001984/170498071 [00:00<00:03, 38542476.09it/s]" ] }, { @@ -316,7 +316,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 95879168/170498071 [00:00<00:00, 115452930.26it/s]" + " 17%|█▋ | 29491200/170498071 [00:01<00:03, 40313666.10it/s]" ] }, { @@ -324,7 +324,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 107610112/170498071 [00:01<00:00, 116001177.88it/s]" + " 20%|██ | 34439168/170498071 [00:01<00:03, 42784554.31it/s]" ] }, { @@ -332,7 +332,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|██████▉ | 119341056/170498071 [00:01<00:00, 116178766.29it/s]" + " 23%|██▎ | 38797312/170498071 [00:01<00:03, 42575855.01it/s]" ] }, { @@ -340,7 +340,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 131137536/170498071 [00:01<00:00, 116661736.90it/s]" + " 26%|██▌ | 43909120/170498071 [00:01<00:02, 44133340.46it/s]" ] }, { @@ -348,7 +348,7 @@ "output_type": "stream", "text": [ "\r", - " 84%|████████▍ | 142868480/170498071 [00:01<00:00, 116808215.89it/s]" + " 28%|██▊ | 48365568/170498071 [00:01<00:02, 44213290.62it/s]" ] }, { @@ -356,7 +356,7 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████ 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-490,10 +674,10 @@ "id": "9b64e0aa", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:17.724373Z", - "iopub.status.busy": "2024-02-08T04:30:17.724096Z", - "iopub.status.idle": "2024-02-08T04:30:17.728698Z", - "shell.execute_reply": "2024-02-08T04:30:17.728278Z" + "iopub.execute_input": "2024-02-08T05:17:15.881245Z", + "iopub.status.busy": "2024-02-08T05:17:15.881053Z", + "iopub.status.idle": "2024-02-08T05:17:15.886298Z", + "shell.execute_reply": "2024-02-08T05:17:15.885876Z" }, "nbsphinx": "hidden" }, @@ -544,10 +728,10 @@ "id": "a00aa3ed", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:17.730711Z", - "iopub.status.busy": "2024-02-08T04:30:17.730452Z", - "iopub.status.idle": "2024-02-08T04:30:18.284987Z", - "shell.execute_reply": "2024-02-08T04:30:18.284485Z" + "iopub.execute_input": "2024-02-08T05:17:15.888349Z", + "iopub.status.busy": "2024-02-08T05:17:15.888018Z", + "iopub.status.idle": "2024-02-08T05:17:16.439381Z", + "shell.execute_reply": "2024-02-08T05:17:16.438746Z" } }, "outputs": [ @@ -580,10 +764,10 @@ "id": "41e5cb6b", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:18.287052Z", - "iopub.status.busy": "2024-02-08T04:30:18.286769Z", - "iopub.status.idle": "2024-02-08T04:30:18.804685Z", - "shell.execute_reply": "2024-02-08T04:30:18.804072Z" + "iopub.execute_input": "2024-02-08T05:17:16.441539Z", + "iopub.status.busy": "2024-02-08T05:17:16.441332Z", + "iopub.status.idle": "2024-02-08T05:17:16.983160Z", + "shell.execute_reply": "2024-02-08T05:17:16.982529Z" } }, "outputs": [ @@ -621,10 +805,10 @@ "id": "1cf25354", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:18.806777Z", - "iopub.status.busy": "2024-02-08T04:30:18.806483Z", - "iopub.status.idle": "2024-02-08T04:30:18.809916Z", - "shell.execute_reply": "2024-02-08T04:30:18.809486Z" + "iopub.execute_input": "2024-02-08T05:17:16.985466Z", + "iopub.status.busy": "2024-02-08T05:17:16.985047Z", + "iopub.status.idle": "2024-02-08T05:17:16.988712Z", + "shell.execute_reply": "2024-02-08T05:17:16.988153Z" } }, "outputs": [], @@ -647,17 +831,17 @@ "id": "85a58d41", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:18.811865Z", - "iopub.status.busy": "2024-02-08T04:30:18.811527Z", - "iopub.status.idle": "2024-02-08T04:30:31.364282Z", - "shell.execute_reply": "2024-02-08T04:30:31.363667Z" + "iopub.execute_input": "2024-02-08T05:17:16.990864Z", + "iopub.status.busy": "2024-02-08T05:17:16.990531Z", + "iopub.status.idle": "2024-02-08T05:17:30.384574Z", + "shell.execute_reply": "2024-02-08T05:17:30.383954Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "8ec90718ebe14457846ef833a3f69479", + "model_id": "825668b38db748b986e9bda15e51e13b", "version_major": 2, "version_minor": 0 }, @@ -716,10 +900,10 @@ "id": "feb0f519", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:31.366608Z", - "iopub.status.busy": 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"metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:34.257730Z", - "iopub.status.busy": "2024-02-08T04:30:34.257550Z", - "iopub.status.idle": "2024-02-08T04:30:34.485252Z", - "shell.execute_reply": "2024-02-08T04:30:34.484849Z" + "iopub.execute_input": "2024-02-08T05:17:33.503176Z", + "iopub.status.busy": "2024-02-08T05:17:33.502822Z", + "iopub.status.idle": "2024-02-08T05:17:33.757736Z", + "shell.execute_reply": "2024-02-08T05:17:33.757170Z" } }, "outputs": [ @@ -965,10 +1149,10 @@ "id": "40fed4ef", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:34.487726Z", - "iopub.status.busy": "2024-02-08T04:30:34.487222Z", - "iopub.status.idle": "2024-02-08T04:30:34.562718Z", - "shell.execute_reply": "2024-02-08T04:30:34.562255Z" + "iopub.execute_input": "2024-02-08T05:17:33.763168Z", + "iopub.status.busy": "2024-02-08T05:17:33.762933Z", + "iopub.status.idle": "2024-02-08T05:17:33.854185Z", + "shell.execute_reply": "2024-02-08T05:17:33.853691Z" } }, "outputs": [], @@ -989,10 +1173,10 @@ "id": "89f9db72", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:34.565151Z", - "iopub.status.busy": "2024-02-08T04:30:34.564820Z", - "iopub.status.idle": "2024-02-08T04:30:44.672053Z", - "shell.execute_reply": "2024-02-08T04:30:44.671463Z" + "iopub.execute_input": "2024-02-08T05:17:33.856930Z", + "iopub.status.busy": "2024-02-08T05:17:33.856640Z", + "iopub.status.idle": "2024-02-08T05:17:44.539894Z", + "shell.execute_reply": "2024-02-08T05:17:44.539169Z" } }, "outputs": [ @@ -1029,10 +1213,10 @@ "id": "874c885a", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:44.674407Z", - "iopub.status.busy": "2024-02-08T04:30:44.674085Z", - "iopub.status.idle": "2024-02-08T04:30:46.341098Z", - "shell.execute_reply": "2024-02-08T04:30:46.340559Z" + "iopub.execute_input": "2024-02-08T05:17:44.542602Z", + "iopub.status.busy": "2024-02-08T05:17:44.542199Z", + "iopub.status.idle": "2024-02-08T05:17:46.479367Z", + 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+ "iopub.status.idle": "2024-02-08T05:17:46.694886Z", + "shell.execute_reply": "2024-02-08T05:17:46.694321Z" } }, "outputs": [], @@ -1105,10 +1289,10 @@ "id": "17f96fa6", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:46.556571Z", - "iopub.status.busy": "2024-02-08T04:30:46.556256Z", - "iopub.status.idle": "2024-02-08T04:30:46.564143Z", - "shell.execute_reply": "2024-02-08T04:30:46.563713Z" + "iopub.execute_input": "2024-02-08T05:17:46.697187Z", + "iopub.status.busy": "2024-02-08T05:17:46.696860Z", + "iopub.status.idle": "2024-02-08T05:17:46.705406Z", + "shell.execute_reply": "2024-02-08T05:17:46.704905Z" }, "nbsphinx": "hidden" }, @@ -1153,30 +1337,33 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "55278c78cbd94215b2c837195ceeb854": { + "038ec4553cd7485f8bc6b775cc1ac431": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - "model_name": "HTMLModel", + "model_name": "FloatProgressModel", "state": { "_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", + "_model_name": "FloatProgressModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HTMLView", + "_view_name": "ProgressView", + "bar_style": "success", "description": "", "description_allow_html": false, - "layout": "IPY_MODEL_8291224fafb44311a21cd1a944c03a26", - "placeholder": "​", - "style": "IPY_MODEL_7c0f27427fd7458e803f7842e3c2b7b0", + "layout": "IPY_MODEL_c1c41233fe614d279ca59c66cbba997a", + "max": 102469840.0, + "min": 0.0, + "orientation": "horizontal", + "style": "IPY_MODEL_143179c01bf94cc88f3717bb18023e8a", "tabbable": null, "tooltip": null, - "value": "model.safetensors: 100%" + "value": 102469840.0 } }, - "7c0f27427fd7458e803f7842e3c2b7b0": { + "03d4c196de6b49fabaae303aaa5e1201": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1194,7 +1381,23 @@ "text_color": null } }, - "8291224fafb44311a21cd1a944c03a26": { + "143179c01bf94cc88f3717bb18023e8a": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "ProgressStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "ProgressStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "bar_color": null, + "description_width": "" + } + }, + "5a00804c5fce4ec18bb7db14fd32b417": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1247,54 +1450,7 @@ "width": null } }, - "8a2fc69f5c3f4e30bde00e979493715a": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HTMLModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HTMLModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_a1d3abd8ccac4d8ca172e65b1644272f", - "placeholder": "​", - "style": "IPY_MODEL_e94269c930c348fc97e754247d9595ed", - "tabbable": null, - "tooltip": null, - "value": " 102M/102M [00:00<00:00, 220MB/s]" - } - }, - "8ec90718ebe14457846ef833a3f69479": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "HBoxModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_55278c78cbd94215b2c837195ceeb854", - "IPY_MODEL_e8cf996d0fe94c3cb5e2785fee2bf584", - "IPY_MODEL_8a2fc69f5c3f4e30bde00e979493715a" - ], - "layout": "IPY_MODEL_a02d42e775b44528a4ec1f675c156ebe", - "tabbable": null, - "tooltip": null - } - }, - "a02d42e775b44528a4ec1f675c156ebe": { + "70630cd3b71546b196c328130764cfd7": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1347,7 +1503,54 @@ "width": null } }, - "a1d3abd8ccac4d8ca172e65b1644272f": { + "7638661cf1ea4bdf9057cf8fb2ed8155": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_5a00804c5fce4ec18bb7db14fd32b417", + "placeholder": "​", + "style": "IPY_MODEL_03d4c196de6b49fabaae303aaa5e1201", + "tabbable": null, + "tooltip": null, + "value": " 102M/102M [00:00<00:00, 126MB/s]" + } + }, + "825668b38db748b986e9bda15e51e13b": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HBoxModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HBoxModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HBoxView", + "box_style": "", + "children": [ + "IPY_MODEL_c60e04d7447e4f17a454ef9c1b22babd", + "IPY_MODEL_038ec4553cd7485f8bc6b775cc1ac431", + "IPY_MODEL_7638661cf1ea4bdf9057cf8fb2ed8155" + ], + "layout": "IPY_MODEL_70630cd3b71546b196c328130764cfd7", + "tabbable": null, + "tooltip": null + } + }, + "845005c35b004bdb8957033ab5ca8657": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1400,49 +1603,7 @@ "width": null } }, - "b4faa0e3178b4731a79084ed65896fc6": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "ProgressStyleModel", - "state": { - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "ProgressStyleModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/base", - "_view_module_version": "2.0.0", - "_view_name": "StyleView", - "bar_color": null, - "description_width": "" - } - }, - "e8cf996d0fe94c3cb5e2785fee2bf584": { - "model_module": "@jupyter-widgets/controls", - "model_module_version": "2.0.0", - "model_name": "FloatProgressModel", - "state": { - "_dom_classes": [], - "_model_module": "@jupyter-widgets/controls", - "_model_module_version": "2.0.0", - "_model_name": "FloatProgressModel", - "_view_count": null, - "_view_module": "@jupyter-widgets/controls", - "_view_module_version": "2.0.0", - "_view_name": "ProgressView", - "bar_style": "success", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_ee3ee555896b49de84d08c251eed995d", - "max": 102469840.0, - "min": 0.0, - "orientation": "horizontal", - "style": "IPY_MODEL_b4faa0e3178b4731a79084ed65896fc6", - "tabbable": null, - "tooltip": null, - "value": 102469840.0 - } - }, - "e94269c930c348fc97e754247d9595ed": { + "95c4ac1a954348fa9148c8ee12f7fb4e": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HTMLStyleModel", @@ -1460,7 +1621,7 @@ "text_color": null } }, - "ee3ee555896b49de84d08c251eed995d": { + "c1c41233fe614d279ca59c66cbba997a": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", @@ -1512,6 +1673,29 @@ "visibility": null, "width": null } + }, + "c60e04d7447e4f17a454ef9c1b22babd": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLModel", + "state": { + "_dom_classes": [], + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/controls", + "_view_module_version": "2.0.0", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_845005c35b004bdb8957033ab5ca8657", + "placeholder": "​", + "style": "IPY_MODEL_95c4ac1a954348fa9148c8ee12f7fb4e", + "tabbable": null, + "tooltip": null, + "value": "model.safetensors: 100%" + } } }, "version_major": 2, diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb index ff8035f20..c13537792 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": "2024-02-08T04:30:50.751304Z", - "iopub.status.busy": "2024-02-08T04:30:50.751133Z", - "iopub.status.idle": "2024-02-08T04:30:51.823240Z", - "shell.execute_reply": "2024-02-08T04:30:51.822703Z" + "iopub.execute_input": "2024-02-08T05:17:51.413127Z", + "iopub.status.busy": "2024-02-08T05:17:51.412706Z", + "iopub.status.idle": "2024-02-08T05:17:52.611238Z", + "shell.execute_reply": "2024-02-08T05:17:52.610680Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:30:51.825744Z", - "iopub.status.busy": "2024-02-08T04:30:51.825364Z", - "iopub.status.idle": "2024-02-08T04:30:51.842820Z", - "shell.execute_reply": "2024-02-08T04:30:51.842387Z" + "iopub.execute_input": "2024-02-08T05:17:52.614217Z", + "iopub.status.busy": "2024-02-08T05:17:52.613717Z", + "iopub.status.idle": "2024-02-08T05:17:52.633243Z", + "shell.execute_reply": "2024-02-08T05:17:52.632743Z" } }, "outputs": [], @@ -157,10 +157,10 @@ "id": "284dc264", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:51.844983Z", - "iopub.status.busy": "2024-02-08T04:30:51.844515Z", - "iopub.status.idle": "2024-02-08T04:30:51.847432Z", - "shell.execute_reply": "2024-02-08T04:30:51.846998Z" + "iopub.execute_input": "2024-02-08T05:17:52.635825Z", + "iopub.status.busy": "2024-02-08T05:17:52.635484Z", + "iopub.status.idle": "2024-02-08T05:17:52.638626Z", + "shell.execute_reply": "2024-02-08T05:17:52.638180Z" }, "nbsphinx": "hidden" }, @@ -191,10 +191,10 @@ "id": "0f7450db", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:51.849404Z", - "iopub.status.busy": "2024-02-08T04:30:51.849113Z", - "iopub.status.idle": "2024-02-08T04:30:52.062082Z", - "shell.execute_reply": "2024-02-08T04:30:52.061561Z" + "iopub.execute_input": "2024-02-08T05:17:52.640735Z", + "iopub.status.busy": "2024-02-08T05:17:52.640434Z", + "iopub.status.idle": "2024-02-08T05:17:52.920965Z", + "shell.execute_reply": "2024-02-08T05:17:52.920349Z" } }, "outputs": [ @@ -367,10 +367,10 @@ "id": "55513fed", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.064034Z", - "iopub.status.busy": "2024-02-08T04:30:52.063840Z", - "iopub.status.idle": "2024-02-08T04:30:52.239826Z", - "shell.execute_reply": "2024-02-08T04:30:52.239268Z" + "iopub.execute_input": "2024-02-08T05:17:52.923467Z", + "iopub.status.busy": "2024-02-08T05:17:52.923019Z", + "iopub.status.idle": "2024-02-08T05:17:53.115689Z", + "shell.execute_reply": "2024-02-08T05:17:53.115011Z" }, "nbsphinx": "hidden" }, @@ -410,10 +410,10 @@ "id": "df5a0f59", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.242089Z", - "iopub.status.busy": "2024-02-08T04:30:52.241901Z", - "iopub.status.idle": "2024-02-08T04:30:52.445021Z", - "shell.execute_reply": "2024-02-08T04:30:52.444475Z" + "iopub.execute_input": "2024-02-08T05:17:53.118435Z", + "iopub.status.busy": "2024-02-08T05:17:53.118062Z", + "iopub.status.idle": "2024-02-08T05:17:53.371491Z", + "shell.execute_reply": "2024-02-08T05:17:53.370876Z" } }, "outputs": [ @@ -449,10 +449,10 @@ "id": "7af78a8a", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.446996Z", - "iopub.status.busy": "2024-02-08T04:30:52.446821Z", - "iopub.status.idle": "2024-02-08T04:30:52.450930Z", - "shell.execute_reply": "2024-02-08T04:30:52.450482Z" + "iopub.execute_input": "2024-02-08T05:17:53.373865Z", + "iopub.status.busy": "2024-02-08T05:17:53.373626Z", + "iopub.status.idle": "2024-02-08T05:17:53.378358Z", + "shell.execute_reply": "2024-02-08T05:17:53.377808Z" } }, "outputs": [], @@ -470,10 +470,10 @@ "id": "9556c624", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.452716Z", - "iopub.status.busy": "2024-02-08T04:30:52.452542Z", - "iopub.status.idle": "2024-02-08T04:30:52.458401Z", - "shell.execute_reply": "2024-02-08T04:30:52.457979Z" + "iopub.execute_input": "2024-02-08T05:17:53.380695Z", + "iopub.status.busy": "2024-02-08T05:17:53.380265Z", + "iopub.status.idle": "2024-02-08T05:17:53.387022Z", + "shell.execute_reply": "2024-02-08T05:17:53.386397Z" } }, "outputs": [], @@ -520,10 +520,10 @@ "id": "3c2f1ccc", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.460493Z", - "iopub.status.busy": "2024-02-08T04:30:52.460074Z", - "iopub.status.idle": "2024-02-08T04:30:52.462570Z", - "shell.execute_reply": "2024-02-08T04:30:52.462147Z" + "iopub.execute_input": "2024-02-08T05:17:53.389333Z", + "iopub.status.busy": "2024-02-08T05:17:53.389109Z", + "iopub.status.idle": "2024-02-08T05:17:53.392037Z", + "shell.execute_reply": "2024-02-08T05:17:53.391331Z" } }, "outputs": [], @@ -538,10 +538,10 @@ "id": "7e1b7860", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:30:52.464422Z", - "iopub.status.busy": "2024-02-08T04:30:52.464251Z", - "iopub.status.idle": "2024-02-08T04:31:00.593329Z", - "shell.execute_reply": "2024-02-08T04:31:00.592695Z" + "iopub.execute_input": "2024-02-08T05:17:53.394330Z", + "iopub.status.busy": "2024-02-08T05:17:53.394004Z", + "iopub.status.idle": "2024-02-08T05:18:01.926806Z", + "shell.execute_reply": "2024-02-08T05:18:01.926205Z" } }, "outputs": [], @@ -565,10 +565,10 @@ "id": "f407bd69", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.596169Z", - "iopub.status.busy": "2024-02-08T04:31:00.595573Z", - "iopub.status.idle": "2024-02-08T04:31:00.602431Z", - "shell.execute_reply": "2024-02-08T04:31:00.601900Z" + "iopub.execute_input": "2024-02-08T05:18:01.930017Z", + "iopub.status.busy": "2024-02-08T05:18:01.929420Z", + "iopub.status.idle": "2024-02-08T05:18:01.937267Z", + "shell.execute_reply": "2024-02-08T05:18:01.936715Z" } }, "outputs": [ @@ -671,10 +671,10 @@ "id": "f7385336", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.604583Z", - "iopub.status.busy": "2024-02-08T04:31:00.604256Z", - "iopub.status.idle": "2024-02-08T04:31:00.607660Z", - "shell.execute_reply": "2024-02-08T04:31:00.607238Z" + "iopub.execute_input": "2024-02-08T05:18:01.939696Z", + "iopub.status.busy": "2024-02-08T05:18:01.939307Z", + "iopub.status.idle": "2024-02-08T05:18:01.943488Z", + "shell.execute_reply": "2024-02-08T05:18:01.942900Z" } }, "outputs": [], @@ -689,10 +689,10 @@ "id": "59fc3091", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.609663Z", - "iopub.status.busy": "2024-02-08T04:31:00.609347Z", - "iopub.status.idle": "2024-02-08T04:31:00.612323Z", - "shell.execute_reply": "2024-02-08T04:31:00.611787Z" + "iopub.execute_input": "2024-02-08T05:18:01.945734Z", + "iopub.status.busy": "2024-02-08T05:18:01.945405Z", + "iopub.status.idle": "2024-02-08T05:18:01.948895Z", + "shell.execute_reply": "2024-02-08T05:18:01.948338Z" } }, "outputs": [ @@ -727,10 +727,10 @@ "id": "00949977", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.614282Z", - "iopub.status.busy": "2024-02-08T04:31:00.613967Z", - "iopub.status.idle": "2024-02-08T04:31:00.616872Z", - "shell.execute_reply": "2024-02-08T04:31:00.616427Z" + "iopub.execute_input": "2024-02-08T05:18:01.951160Z", + "iopub.status.busy": "2024-02-08T05:18:01.950717Z", + "iopub.status.idle": "2024-02-08T05:18:01.953844Z", + "shell.execute_reply": "2024-02-08T05:18:01.953404Z" } }, "outputs": [], @@ -749,10 +749,10 @@ "id": "b6c1ae3a", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.618846Z", - "iopub.status.busy": "2024-02-08T04:31:00.618530Z", - "iopub.status.idle": "2024-02-08T04:31:00.626345Z", - "shell.execute_reply": "2024-02-08T04:31:00.625821Z" + "iopub.execute_input": "2024-02-08T05:18:01.956220Z", + "iopub.status.busy": "2024-02-08T05:18:01.955844Z", + "iopub.status.idle": "2024-02-08T05:18:01.964834Z", + "shell.execute_reply": "2024-02-08T05:18:01.964236Z" } }, "outputs": [ @@ -894,10 +894,10 @@ "id": "31c704e7", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.628449Z", - "iopub.status.busy": "2024-02-08T04:31:00.628141Z", - "iopub.status.idle": "2024-02-08T04:31:00.747556Z", - "shell.execute_reply": "2024-02-08T04:31:00.747054Z" + "iopub.execute_input": "2024-02-08T05:18:01.967310Z", + "iopub.status.busy": "2024-02-08T05:18:01.966842Z", + "iopub.status.idle": "2024-02-08T05:18:02.090316Z", + "shell.execute_reply": "2024-02-08T05:18:02.089645Z" } }, "outputs": [ @@ -936,10 +936,10 @@ "id": "0bcc43db", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.749632Z", - "iopub.status.busy": "2024-02-08T04:31:00.749285Z", - "iopub.status.idle": "2024-02-08T04:31:00.867709Z", - "shell.execute_reply": "2024-02-08T04:31:00.867227Z" + "iopub.execute_input": "2024-02-08T05:18:02.092988Z", + "iopub.status.busy": "2024-02-08T05:18:02.092569Z", + "iopub.status.idle": "2024-02-08T05:18:02.204658Z", + "shell.execute_reply": "2024-02-08T05:18:02.203939Z" } }, "outputs": [ @@ -995,10 +995,10 @@ "id": "7021bd68", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:00.869752Z", - "iopub.status.busy": "2024-02-08T04:31:00.869575Z", - "iopub.status.idle": "2024-02-08T04:31:01.355217Z", - "shell.execute_reply": "2024-02-08T04:31:01.354754Z" + "iopub.execute_input": "2024-02-08T05:18:02.207487Z", + "iopub.status.busy": "2024-02-08T05:18:02.207236Z", + "iopub.status.idle": "2024-02-08T05:18:02.771856Z", + "shell.execute_reply": "2024-02-08T05:18:02.771183Z" } }, "outputs": [], @@ -1014,10 +1014,10 @@ "id": "d49c990b", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:01.357253Z", - "iopub.status.busy": "2024-02-08T04:31:01.357080Z", - "iopub.status.idle": "2024-02-08T04:31:01.434382Z", - "shell.execute_reply": "2024-02-08T04:31:01.433913Z" + "iopub.execute_input": "2024-02-08T05:18:02.774657Z", + "iopub.status.busy": "2024-02-08T05:18:02.774189Z", + "iopub.status.idle": "2024-02-08T05:18:02.854230Z", + "shell.execute_reply": "2024-02-08T05:18:02.853626Z" } }, "outputs": [ @@ -1055,10 +1055,10 @@ "id": "95531cda", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:01.436548Z", - "iopub.status.busy": "2024-02-08T04:31:01.436195Z", - "iopub.status.idle": "2024-02-08T04:31:01.445937Z", - "shell.execute_reply": "2024-02-08T04:31:01.445389Z" + "iopub.execute_input": "2024-02-08T05:18:02.856474Z", + "iopub.status.busy": "2024-02-08T05:18:02.856273Z", + "iopub.status.idle": "2024-02-08T05:18:02.866501Z", + "shell.execute_reply": "2024-02-08T05:18:02.865955Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb index 282a261ca..50fa2ea52 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": "2024-02-08T04:31:04.090778Z", - "iopub.status.busy": "2024-02-08T04:31:04.090311Z", - "iopub.status.idle": "2024-02-08T04:31:06.685136Z", - "shell.execute_reply": "2024-02-08T04:31:06.684460Z" + "iopub.execute_input": "2024-02-08T05:18:06.194836Z", + "iopub.status.busy": "2024-02-08T05:18:06.194464Z", + "iopub.status.idle": "2024-02-08T05:18:11.509123Z", + "shell.execute_reply": "2024-02-08T05:18:11.508442Z" } }, "outputs": [], @@ -79,10 +79,10 @@ "id": "58fd4c55", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:31:06.687749Z", - "iopub.status.busy": "2024-02-08T04:31:06.687374Z", - "iopub.status.idle": "2024-02-08T04:32:33.192723Z", - "shell.execute_reply": "2024-02-08T04:32:33.192050Z" + "iopub.execute_input": "2024-02-08T05:18:11.511765Z", + "iopub.status.busy": "2024-02-08T05:18:11.511386Z", + "iopub.status.idle": "2024-02-08T05:19:01.334173Z", + "shell.execute_reply": "2024-02-08T05:19:01.333418Z" } }, "outputs": [], @@ -97,10 +97,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:32:33.195218Z", - "iopub.status.busy": "2024-02-08T04:32:33.194983Z", - "iopub.status.idle": "2024-02-08T04:32:34.284442Z", - "shell.execute_reply": "2024-02-08T04:32:34.283882Z" + "iopub.execute_input": "2024-02-08T05:19:01.337024Z", + "iopub.status.busy": "2024-02-08T05:19:01.336645Z", + "iopub.status.idle": "2024-02-08T05:19:02.446829Z", + "shell.execute_reply": "2024-02-08T05:19:02.446265Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:32:34.287010Z", - "iopub.status.busy": "2024-02-08T04:32:34.286715Z", - "iopub.status.idle": "2024-02-08T04:32:34.289859Z", - "shell.execute_reply": "2024-02-08T04:32:34.289423Z" + "iopub.execute_input": "2024-02-08T05:19:02.449563Z", + "iopub.status.busy": "2024-02-08T05:19:02.449077Z", + "iopub.status.idle": "2024-02-08T05:19:02.452514Z", + "shell.execute_reply": "2024-02-08T05:19:02.451942Z" } }, "outputs": [], @@ -203,10 +203,10 @@ "id": "07dc5678", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:32:34.291762Z", - "iopub.status.busy": "2024-02-08T04:32:34.291582Z", - "iopub.status.idle": "2024-02-08T04:32:34.295486Z", - "shell.execute_reply": "2024-02-08T04:32:34.295037Z" + "iopub.execute_input": "2024-02-08T05:19:02.454973Z", + "iopub.status.busy": "2024-02-08T05:19:02.454564Z", + "iopub.status.idle": "2024-02-08T05:19:02.458751Z", + "shell.execute_reply": "2024-02-08T05:19:02.458289Z" } }, "outputs": [ @@ -247,10 +247,10 @@ "id": "25ebe22a", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:32:34.297355Z", - "iopub.status.busy": "2024-02-08T04:32:34.297179Z", - "iopub.status.idle": "2024-02-08T04:32:34.300716Z", - "shell.execute_reply": "2024-02-08T04:32:34.300269Z" + "iopub.execute_input": "2024-02-08T05:19:02.461004Z", + "iopub.status.busy": "2024-02-08T05:19:02.460655Z", + "iopub.status.idle": "2024-02-08T05:19:02.464367Z", + "shell.execute_reply": "2024-02-08T05:19:02.463921Z" } }, "outputs": [ @@ -290,10 +290,10 @@ "id": "3faedea9", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:32:34.302700Z", - "iopub.status.busy": "2024-02-08T04:32:34.302414Z", - "iopub.status.idle": "2024-02-08T04:32:34.305247Z", - "shell.execute_reply": "2024-02-08T04:32:34.304818Z" + "iopub.execute_input": "2024-02-08T05:19:02.466454Z", + "iopub.status.busy": "2024-02-08T05:19:02.466133Z", + "iopub.status.idle": "2024-02-08T05:19:02.468853Z", + "shell.execute_reply": "2024-02-08T05:19:02.468435Z" } }, "outputs": [], @@ -333,17 +333,17 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:32:34.307210Z", - "iopub.status.busy": "2024-02-08T04:32:34.306903Z", - "iopub.status.idle": "2024-02-08T04:33:50.468781Z", - "shell.execute_reply": "2024-02-08T04:33:50.468192Z" + "iopub.execute_input": "2024-02-08T05:19:02.470767Z", + "iopub.status.busy": "2024-02-08T05:19:02.470482Z", + "iopub.status.idle": "2024-02-08T05:20:19.455463Z", + "shell.execute_reply": "2024-02-08T05:20:19.454724Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "633c79ed95ab41e0aabbd57dbd3ecb08", + "model_id": "c8c2e28ad93b4bdd9fc175ec25c69050", "version_major": 2, "version_minor": 0 }, @@ -357,7 +357,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7cc6878891b34dc6b9eee074c27b9942", + "model_id": "ea58fb54e03a45d5b2072a4db0195034", "version_major": 2, "version_minor": 0 }, @@ -400,10 +400,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:33:50.471202Z", - "iopub.status.busy": "2024-02-08T04:33:50.471016Z", - "iopub.status.idle": "2024-02-08T04:33:51.129982Z", - "shell.execute_reply": "2024-02-08T04:33:51.129389Z" + "iopub.execute_input": "2024-02-08T05:20:19.458139Z", + "iopub.status.busy": "2024-02-08T05:20:19.457915Z", + "iopub.status.idle": "2024-02-08T05:20:20.138783Z", + "shell.execute_reply": "2024-02-08T05:20:20.138296Z" } }, "outputs": [ @@ -446,10 +446,10 @@ "id": "57fed473", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:33:51.132369Z", - "iopub.status.busy": "2024-02-08T04:33:51.131864Z", - "iopub.status.idle": "2024-02-08T04:33:53.739824Z", - "shell.execute_reply": "2024-02-08T04:33:53.739233Z" + "iopub.execute_input": "2024-02-08T05:20:20.141021Z", + "iopub.status.busy": "2024-02-08T05:20:20.140710Z", + "iopub.status.idle": "2024-02-08T05:20:22.899351Z", + "shell.execute_reply": "2024-02-08T05:20:22.898717Z" } }, "outputs": [ @@ -519,10 +519,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:33:53.741963Z", - "iopub.status.busy": "2024-02-08T04:33:53.741658Z", - "iopub.status.idle": "2024-02-08T04:34:26.078889Z", - "shell.execute_reply": "2024-02-08T04:34:26.078349Z" + "iopub.execute_input": "2024-02-08T05:20:22.901657Z", + "iopub.status.busy": "2024-02-08T05:20:22.901306Z", + "iopub.status.idle": "2024-02-08T05:20:55.974341Z", + "shell.execute_reply": "2024-02-08T05:20:55.973829Z" } }, "outputs": [ @@ -539,7 +539,7 @@ "output_type": "stream", "text": [ "\r", - " 0%| | 15263/4997817 [00:00<00:32, 152620.32it/s]" + " 0%| | 15219/4997817 [00:00<00:32, 152175.63it/s]" ] }, { @@ -547,7 +547,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 30666/4997817 [00:00<00:32, 153444.23it/s]" + " 1%| | 30515/4997817 [00:00<00:32, 152628.96it/s]" ] }, { @@ -555,7 +555,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 46403/4997817 [00:00<00:31, 155233.62it/s]" + " 1%| | 45778/4997817 [00:00<00:32, 152070.29it/s]" ] }, { @@ -563,7 +563,7 @@ "output_type": "stream", "text": [ "\r", - " 1%| | 62088/4997817 [00:00<00:31, 155869.58it/s]" + " 1%| | 60986/4997817 [00:00<00:32, 151671.35it/s]" ] }, { @@ -571,7 +571,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 77755/4997817 [00:00<00:31, 156156.65it/s]" + " 2%|▏ | 76154/4997817 [00:00<00:32, 151334.04it/s]" ] }, { @@ -579,7 +579,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 93461/4997817 [00:00<00:31, 156459.90it/s]" + " 2%|▏ | 91408/4997817 [00:00<00:32, 151739.35it/s]" ] }, { @@ -587,7 +587,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 109145/4997817 [00:00<00:31, 156582.99it/s]" + " 2%|▏ | 106583/4997817 [00:00<00:32, 151262.88it/s]" ] }, { @@ -595,7 +595,7 @@ "output_type": "stream", "text": [ "\r", - " 2%|▏ | 124865/4997817 [00:00<00:31, 156775.77it/s]" + " 2%|▏ | 121799/4997817 [00:00<00:32, 151497.04it/s]" ] }, { @@ -603,7 +603,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 140561/4997817 [00:00<00:30, 156832.47it/s]" + " 3%|▎ | 136950/4997817 [00:00<00:32, 151116.12it/s]" ] }, { @@ -611,7 +611,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 156296/4997817 [00:01<00:30, 156990.78it/s]" + " 3%|▎ | 152062/4997817 [00:01<00:32, 150719.47it/s]" ] }, { @@ -619,7 +619,7 @@ "output_type": "stream", "text": [ "\r", - " 3%|▎ | 171996/4997817 [00:01<00:30, 156816.52it/s]" + " 3%|▎ | 167152/4997817 [00:01<00:32, 150772.00it/s]" ] }, { @@ -627,7 +627,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 187678/4997817 [00:01<00:30, 156789.10it/s]" + " 4%|▎ | 182311/4997817 [00:01<00:31, 151017.94it/s]" ] }, { @@ -635,7 +635,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 203449/4997817 [00:01<00:30, 157064.19it/s]" + " 4%|▍ | 197414/4997817 [00:01<00:32, 149004.91it/s]" ] }, { @@ -643,7 +643,7 @@ "output_type": "stream", "text": [ "\r", - " 4%|▍ | 219271/4997817 [00:01<00:30, 157411.47it/s]" + " 4%|▍ | 212321/4997817 [00:01<00:32, 148494.46it/s]" ] }, { @@ -651,7 +651,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▍ | 235039/4997817 [00:01<00:30, 157491.41it/s]" + " 5%|▍ | 227688/4997817 [00:01<00:31, 150033.39it/s]" ] }, { @@ -659,7 +659,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 250894/4997817 [00:01<00:30, 157807.98it/s]" + " 5%|▍ | 242927/4997817 [00:01<00:31, 150733.98it/s]" ] }, { @@ -667,7 +667,7 @@ "output_type": "stream", "text": [ "\r", - " 5%|▌ | 266675/4997817 [00:01<00:29, 157776.96it/s]" + " 5%|▌ | 258207/4997817 [00:01<00:31, 151349.15it/s]" ] }, { @@ -675,7 +675,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 282453/4997817 [00:01<00:29, 157761.99it/s]" + " 5%|▌ | 273519/4997817 [00:01<00:31, 151877.06it/s]" ] }, { @@ -683,7 +683,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▌ | 298230/4997817 [00:01<00:29, 157339.46it/s]" + " 6%|▌ | 288818/4997817 [00:01<00:30, 152206.19it/s]" ] }, { @@ -691,7 +691,7 @@ "output_type": "stream", "text": [ "\r", - " 6%|▋ | 313965/4997817 [00:02<00:29, 157107.54it/s]" + " 6%|▌ | 304086/4997817 [00:02<00:30, 152346.07it/s]" ] }, { @@ -699,7 +699,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 329811/4997817 [00:02<00:29, 157509.28it/s]" + " 6%|▋ | 319322/4997817 [00:02<00:30, 152226.57it/s]" ] }, { @@ -707,7 +707,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 345563/4997817 [00:02<00:30, 153954.15it/s]" + " 7%|▋ | 334625/4997817 [00:02<00:30, 152465.32it/s]" ] }, { @@ -715,7 +715,7 @@ "output_type": "stream", "text": [ "\r", - " 7%|▋ | 361251/4997817 [00:02<00:29, 154814.53it/s]" + " 7%|▋ | 349873/4997817 [00:02<00:30, 152288.21it/s]" ] }, { @@ -723,7 +723,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 376940/4997817 [00:02<00:29, 155427.51it/s]" + " 7%|▋ | 365103/4997817 [00:02<00:31, 149042.74it/s]" ] }, { @@ -731,7 +731,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 392762/4997817 [00:02<00:29, 156257.19it/s]" + " 8%|▊ | 380408/4997817 [00:02<00:30, 150221.43it/s]" ] }, { @@ -739,7 +739,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 408619/4997817 [00:02<00:29, 156944.77it/s]" + " 8%|▊ | 395607/4997817 [00:02<00:30, 150742.66it/s]" ] }, { @@ -747,7 +747,7 @@ "output_type": "stream", "text": [ "\r", - " 8%|▊ | 424451/4997817 [00:02<00:29, 157351.99it/s]" + " 8%|▊ | 410867/4997817 [00:02<00:30, 151292.06it/s]" ] }, { @@ -755,7 +755,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 440219/4997817 [00:02<00:28, 157448.13it/s]" + " 9%|▊ | 426153/4997817 [00:02<00:30, 151755.55it/s]" ] }, { @@ -763,7 +763,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 456014/4997817 [00:02<00:28, 157594.94it/s]" + " 9%|▉ | 441466/4997817 [00:02<00:29, 152163.81it/s]" ] }, { @@ -771,7 +771,7 @@ "output_type": "stream", "text": [ "\r", - " 9%|▉ | 471810/4997817 [00:03<00:28, 157702.43it/s]" + " 9%|▉ | 456687/4997817 [00:03<00:29, 152154.88it/s]" ] }, { @@ -779,7 +779,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|▉ | 487647/4997817 [00:03<00:28, 157900.06it/s]" + " 9%|▉ | 472009/4997817 [00:03<00:29, 152471.31it/s]" ] }, { @@ -787,7 +787,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 503447/4997817 [00:03<00:28, 157926.90it/s]" + " 10%|▉ | 487319/4997817 [00:03<00:29, 152657.18it/s]" ] }, { @@ -795,7 +795,7 @@ "output_type": "stream", "text": [ "\r", - " 10%|█ | 519243/4997817 [00:03<00:28, 157933.03it/s]" + " 10%|█ | 502587/4997817 [00:03<00:29, 152587.42it/s]" ] }, { @@ -803,7 +803,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 535046/4997817 [00:03<00:28, 157960.35it/s]" + " 10%|█ | 517878/4997817 [00:03<00:29, 152680.31it/s]" ] }, { @@ -811,7 +811,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█ | 550843/4997817 [00:03<00:28, 157126.81it/s]" + " 11%|█ | 533228/4997817 [00:03<00:29, 152922.25it/s]" ] }, { @@ -819,7 +819,7 @@ "output_type": "stream", "text": [ "\r", - " 11%|█▏ | 566561/4997817 [00:03<00:28, 157141.74it/s]" + " 11%|█ | 548521/4997817 [00:03<00:29, 152579.62it/s]" ] }, { @@ -827,7 +827,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 582279/4997817 [00:03<00:28, 157149.98it/s]" + " 11%|█▏ | 563780/4997817 [00:03<00:29, 152366.87it/s]" ] }, { @@ -835,7 +835,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 597995/4997817 [00:03<00:28, 157124.65it/s]" + " 12%|█▏ | 579068/4997817 [00:03<00:28, 152516.68it/s]" ] }, { @@ -843,7 +843,7 @@ "output_type": "stream", "text": [ "\r", - " 12%|█▏ | 613708/4997817 [00:03<00:27, 156897.25it/s]" + " 12%|█▏ | 594320/4997817 [00:03<00:28, 152104.13it/s]" ] }, { @@ -851,7 +851,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 629508/4997817 [00:04<00:27, 157224.86it/s]" + " 12%|█▏ | 609531/4997817 [00:04<00:28, 152101.48it/s]" ] }, { @@ -859,7 +859,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 645231/4997817 [00:04<00:27, 157177.39it/s]" + " 13%|█▎ | 624752/4997817 [00:04<00:28, 152131.73it/s]" ] }, { @@ -867,7 +867,7 @@ "output_type": "stream", "text": [ "\r", - " 13%|█▎ | 660949/4997817 [00:04<00:27, 156978.60it/s]" + " 13%|█▎ | 639966/4997817 [00:04<00:28, 151079.04it/s]" ] }, { @@ -875,7 +875,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▎ | 676648/4997817 [00:04<00:27, 156760.78it/s]" + " 13%|█▎ | 655076/4997817 [00:04<00:28, 151049.89it/s]" ] }, { @@ -883,7 +883,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 692325/4997817 [00:04<00:27, 156208.63it/s]" + " 13%|█▎ | 670183/4997817 [00:04<00:30, 143565.20it/s]" ] }, { @@ -891,7 +891,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 707947/4997817 [00:04<00:27, 156090.54it/s]" + " 14%|█▎ | 685377/4997817 [00:04<00:29, 145979.48it/s]" ] }, { @@ -899,7 +899,7 @@ "output_type": "stream", "text": [ "\r", - " 14%|█▍ | 723563/4997817 [00:04<00:27, 156108.57it/s]" + " 14%|█▍ | 700538/4997817 [00:04<00:29, 147618.75it/s]" ] }, { @@ -907,7 +907,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▍ | 739191/4997817 [00:04<00:27, 156158.25it/s]" + " 14%|█▍ | 715680/4997817 [00:04<00:28, 148734.34it/s]" ] }, { @@ -915,7 +915,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 754807/4997817 [00:04<00:27, 156048.28it/s]" + " 15%|█▍ | 730868/4997817 [00:04<00:28, 149661.46it/s]" ] }, { @@ -923,7 +923,7 @@ "output_type": "stream", "text": [ "\r", - " 15%|█▌ | 770497/4997817 [00:04<00:27, 156302.41it/s]" + " 15%|█▍ | 746099/4997817 [00:04<00:28, 150444.15it/s]" ] }, { @@ -931,7 +931,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 786317/4997817 [00:05<00:26, 156868.27it/s]" + " 15%|█▌ | 761372/4997817 [00:05<00:28, 151122.68it/s]" ] }, { @@ -939,7 +939,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▌ | 802017/4997817 [00:05<00:26, 156904.88it/s]" + " 16%|█▌ | 776857/4997817 [00:05<00:27, 152232.63it/s]" ] }, { @@ -947,7 +947,7 @@ "output_type": "stream", "text": [ "\r", - " 16%|█▋ | 817708/4997817 [00:05<00:27, 153225.26it/s]" + " 16%|█▌ | 792347/4997817 [00:05<00:27, 153026.64it/s]" ] }, { @@ -955,7 +955,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 833392/4997817 [00:05<00:26, 154288.53it/s]" + " 16%|█▌ | 807768/4997817 [00:05<00:27, 153377.03it/s]" ] }, { @@ -963,7 +963,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 849328/4997817 [00:05<00:26, 155788.65it/s]" + " 16%|█▋ | 823303/4997817 [00:05<00:27, 153966.34it/s]" ] }, { @@ -971,7 +971,7 @@ "output_type": "stream", "text": [ "\r", - " 17%|█▋ | 865122/4997817 [00:05<00:26, 156427.57it/s]" + " 17%|█▋ | 838868/4997817 [00:05<00:26, 154469.02it/s]" ] }, { @@ -979,7 +979,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 880887/4997817 [00:05<00:26, 156788.95it/s]" + " 17%|█▋ | 854393/4997817 [00:05<00:26, 154699.52it/s]" ] }, { @@ -987,7 +987,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 896614/4997817 [00:05<00:26, 156931.70it/s]" + " 17%|█▋ | 869879/4997817 [00:05<00:26, 154744.14it/s]" ] }, { @@ -995,7 +995,7 @@ "output_type": "stream", "text": [ "\r", - " 18%|█▊ | 912312/4997817 [00:05<00:26, 156914.97it/s]" + " 18%|█▊ | 885355/4997817 [00:05<00:26, 154662.03it/s]" ] }, { @@ -1003,7 +1003,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▊ | 928025/4997817 [00:05<00:25, 156976.92it/s]" + " 18%|█▊ | 900823/4997817 [00:05<00:26, 154618.28it/s]" ] }, { @@ -1011,7 +1011,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 943726/4997817 [00:06<00:25, 156932.85it/s]" + " 18%|█▊ | 916286/4997817 [00:06<00:26, 154561.85it/s]" ] }, { @@ -1019,7 +1019,7 @@ "output_type": "stream", "text": [ "\r", - " 19%|█▉ | 959463/4997817 [00:06<00:25, 157062.64it/s]" + " 19%|█▊ | 931866/4997817 [00:06<00:26, 154930.84it/s]" ] }, { @@ -1027,7 +1027,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 975171/4997817 [00:06<00:25, 156949.11it/s]" + " 19%|█▉ | 947360/4997817 [00:06<00:26, 154896.54it/s]" ] }, { @@ -1035,7 +1035,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|█▉ | 990867/4997817 [00:06<00:25, 156556.37it/s]" + " 19%|█▉ | 962850/4997817 [00:06<00:26, 154866.84it/s]" ] }, { @@ -1043,7 +1043,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1006550/4997817 [00:06<00:25, 156635.05it/s]" + " 20%|█▉ | 978337/4997817 [00:06<00:25, 154782.30it/s]" ] }, { @@ -1051,7 +1051,7 @@ "output_type": "stream", "text": [ "\r", - " 20%|██ | 1022215/4997817 [00:06<00:25, 156528.27it/s]" + " 20%|█▉ | 993816/4997817 [00:06<00:25, 154378.72it/s]" ] }, { @@ -1059,7 +1059,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1037881/4997817 [00:06<00:25, 156565.86it/s]" + " 20%|██ | 1009295/4997817 [00:06<00:25, 154498.77it/s]" ] }, { @@ -1067,7 +1067,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██ | 1053699/4997817 [00:06<00:25, 157047.75it/s]" + " 21%|██ | 1024770/4997817 [00:06<00:25, 154570.08it/s]" ] }, { @@ -1075,7 +1075,7 @@ "output_type": "stream", "text": [ "\r", - " 21%|██▏ | 1069405/4997817 [00:06<00:25, 157030.48it/s]" + " 21%|██ | 1040292/4997817 [00:06<00:25, 154762.00it/s]" ] }, { @@ -1083,7 +1083,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1085109/4997817 [00:06<00:24, 157023.73it/s]" + " 21%|██ | 1055833/4997817 [00:06<00:25, 154953.40it/s]" ] }, { @@ -1091,7 +1091,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1100812/4997817 [00:07<00:24, 157017.91it/s]" + " 21%|██▏ | 1071368/4997817 [00:07<00:25, 155068.69it/s]" ] }, { @@ -1099,7 +1099,7 @@ "output_type": "stream", "text": [ "\r", - " 22%|██▏ | 1116514/4997817 [00:07<00:24, 156868.74it/s]" + " 22%|██▏ | 1086875/4997817 [00:07<00:25, 154910.98it/s]" ] }, { @@ -1107,7 +1107,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1132201/4997817 [00:07<00:24, 156856.61it/s]" + " 22%|██▏ | 1102367/4997817 [00:07<00:25, 154771.95it/s]" ] }, { @@ -1115,7 +1115,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1147887/4997817 [00:07<00:24, 156805.11it/s]" + " 22%|██▏ | 1117845/4997817 [00:07<00:25, 154473.84it/s]" ] }, { @@ -1123,7 +1123,7 @@ "output_type": "stream", "text": [ "\r", - " 23%|██▎ | 1163580/4997817 [00:07<00:24, 156840.13it/s]" + " 23%|██▎ | 1133293/4997817 [00:07<00:25, 153830.15it/s]" ] }, { @@ -1131,7 +1131,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▎ | 1179265/4997817 [00:07<00:24, 156735.23it/s]" + " 23%|██▎ | 1148677/4997817 [00:07<00:25, 152795.48it/s]" ] }, { @@ -1139,7 +1139,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1194966/4997817 [00:07<00:24, 156815.51it/s]" + " 23%|██▎ | 1164033/4997817 [00:07<00:25, 153020.57it/s]" ] }, { @@ -1147,7 +1147,7 @@ "output_type": "stream", "text": [ "\r", - " 24%|██▍ | 1210648/4997817 [00:07<00:24, 156722.01it/s]" + " 24%|██▎ | 1179445/4997817 [00:07<00:24, 153346.10it/s]" ] }, { @@ -1155,7 +1155,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1226321/4997817 [00:07<00:24, 156153.98it/s]" + " 24%|██▍ | 1194827/4997817 [00:07<00:24, 153485.79it/s]" ] }, { @@ -1163,7 +1163,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▍ | 1241937/4997817 [00:07<00:24, 156124.87it/s]" + " 24%|██▍ | 1210177/4997817 [00:07<00:24, 153406.60it/s]" ] }, { @@ -1171,7 +1171,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1257558/4997817 [00:08<00:23, 156148.50it/s]" + " 25%|██▍ | 1225519/4997817 [00:08<00:24, 153329.14it/s]" ] }, { @@ -1179,7 +1179,7 @@ "output_type": "stream", "text": [ "\r", - " 25%|██▌ | 1273179/4997817 [00:08<00:23, 156164.18it/s]" + " 25%|██▍ | 1240853/4997817 [00:08<00:24, 152990.60it/s]" ] }, { @@ -1187,7 +1187,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1288823/4997817 [00:08<00:23, 156245.31it/s]" + " 25%|██▌ | 1256153/4997817 [00:08<00:24, 152916.47it/s]" ] }, { @@ -1195,7 +1195,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▌ | 1304448/4997817 [00:08<00:24, 149122.57it/s]" + " 25%|██▌ | 1271445/4997817 [00:08<00:24, 152236.93it/s]" ] }, { @@ -1203,7 +1203,7 @@ "output_type": "stream", "text": [ "\r", - " 26%|██▋ | 1320201/4997817 [00:08<00:24, 151560.64it/s]" + " 26%|██▌ | 1286713/4997817 [00:08<00:24, 152365.67it/s]" ] }, { @@ -1211,7 +1211,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1335784/4997817 [00:08<00:23, 152810.29it/s]" + " 26%|██▌ | 1302067/4997817 [00:08<00:24, 152714.43it/s]" ] }, { @@ -1219,7 +1219,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1351437/4997817 [00:08<00:23, 153905.86it/s]" + " 26%|██▋ | 1317531/4997817 [00:08<00:24, 153287.37it/s]" ] }, { @@ -1227,7 +1227,7 @@ "output_type": "stream", "text": [ "\r", - " 27%|██▋ | 1367067/4997817 [00:08<00:23, 154615.30it/s]" + " 27%|██▋ | 1332993/4997817 [00:08<00:23, 153682.36it/s]" ] }, { @@ -1235,7 +1235,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1382626/4997817 [00:08<00:23, 154902.96it/s]" + " 27%|██▋ | 1348485/4997817 [00:08<00:23, 154049.29it/s]" ] }, { @@ -1243,7 +1243,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1398347/4997817 [00:08<00:23, 155589.95it/s]" + " 27%|██▋ | 1363898/4997817 [00:08<00:23, 154071.65it/s]" ] }, { @@ -1251,7 +1251,7 @@ "output_type": "stream", "text": [ "\r", - " 28%|██▊ | 1414047/4997817 [00:09<00:22, 156009.20it/s]" + " 28%|██▊ | 1379399/4997817 [00:09<00:23, 154351.60it/s]" ] }, { @@ -1259,7 +1259,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▊ | 1429657/4997817 [00:09<00:22, 155598.60it/s]" + " 28%|██▊ | 1394835/4997817 [00:09<00:23, 154191.34it/s]" ] }, { @@ -1267,7 +1267,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1445223/4997817 [00:09<00:22, 155576.53it/s]" + " 28%|██▊ | 1410321/4997817 [00:09<00:23, 154389.90it/s]" ] }, { @@ -1275,7 +1275,7 @@ "output_type": "stream", "text": [ "\r", - " 29%|██▉ | 1460785/4997817 [00:09<00:23, 151230.69it/s]" + " 29%|██▊ | 1425761/4997817 [00:09<00:23, 154373.66it/s]" ] }, { @@ -1283,7 +1283,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1476499/4997817 [00:09<00:23, 152962.50it/s]" + " 29%|██▉ | 1441199/4997817 [00:09<00:23, 154033.50it/s]" ] }, { @@ -1291,7 +1291,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|██▉ | 1492193/4997817 [00:09<00:22, 154135.92it/s]" + " 29%|██▉ | 1456681/4997817 [00:09<00:22, 154241.61it/s]" ] }, { @@ -1299,7 +1299,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1507910/4997817 [00:09<00:22, 155034.80it/s]" + " 29%|██▉ | 1472106/4997817 [00:09<00:23, 149708.68it/s]" ] }, { @@ -1307,7 +1307,7 @@ "output_type": "stream", "text": [ "\r", - " 30%|███ | 1523500/4997817 [00:09<00:22, 155291.00it/s]" + " 30%|██▉ | 1487442/4997817 [00:09<00:23, 150778.12it/s]" ] }, { @@ -1315,7 +1315,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1539068/4997817 [00:09<00:22, 155405.46it/s]" + " 30%|███ | 1502934/4997817 [00:09<00:22, 151998.09it/s]" ] }, { @@ -1323,7 +1323,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███ | 1554740/4997817 [00:09<00:22, 155797.39it/s]" + " 30%|███ | 1518481/4997817 [00:09<00:22, 153026.59it/s]" ] }, { @@ -1331,7 +1331,7 @@ "output_type": "stream", "text": [ "\r", - " 31%|███▏ | 1570325/4997817 [00:10<00:22, 155632.09it/s]" + " 31%|███ | 1533971/4997817 [00:10<00:22, 153580.89it/s]" ] }, { @@ -1339,7 +1339,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1585935/4997817 [00:10<00:21, 155771.47it/s]" + " 31%|███ | 1549477/4997817 [00:10<00:22, 154018.67it/s]" ] }, { @@ -1347,7 +1347,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1601515/4997817 [00:10<00:21, 155577.69it/s]" + " 31%|███▏ | 1564939/4997817 [00:10<00:22, 154195.91it/s]" ] }, { @@ -1355,7 +1355,7 @@ "output_type": "stream", "text": [ "\r", - " 32%|███▏ | 1617101/4997817 [00:10<00:21, 155645.58it/s]" + " 32%|███▏ | 1580364/4997817 [00:10<00:22, 153889.50it/s]" ] }, { @@ -1363,7 +1363,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1632667/4997817 [00:10<00:22, 148235.31it/s]" + " 32%|███▏ | 1595792/4997817 [00:10<00:22, 154004.33it/s]" ] }, { @@ -1371,7 +1371,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1648018/4997817 [00:10<00:22, 149759.46it/s]" + " 32%|███▏ | 1611227/4997817 [00:10<00:21, 154106.29it/s]" ] }, { @@ -1379,7 +1379,7 @@ "output_type": "stream", "text": [ "\r", - " 33%|███▎ | 1663496/4997817 [00:10<00:22, 151227.25it/s]" + " 33%|███▎ | 1626640/4997817 [00:10<00:21, 153914.83it/s]" ] }, { @@ -1387,7 +1387,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▎ | 1679092/4997817 [00:10<00:21, 152620.63it/s]" + " 33%|███▎ | 1642067/4997817 [00:10<00:21, 154017.91it/s]" ] }, { @@ -1395,7 +1395,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1694624/4997817 [00:10<00:21, 153418.04it/s]" + " 33%|███▎ | 1657470/4997817 [00:10<00:21, 153883.75it/s]" ] }, { @@ -1403,7 +1403,7 @@ "output_type": "stream", "text": [ "\r", - " 34%|███▍ | 1710114/4997817 [00:10<00:21, 153856.65it/s]" + " 33%|███▎ | 1672885/4997817 [00:10<00:21, 153960.13it/s]" ] }, { @@ -1411,7 +1411,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1725618/4997817 [00:11<00:21, 154206.80it/s]" + " 34%|███▍ | 1688410/4997817 [00:11<00:21, 154345.25it/s]" ] }, { @@ -1419,7 +1419,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▍ | 1741184/4997817 [00:11<00:21, 154637.42it/s]" + " 34%|███▍ | 1703989/4997817 [00:11<00:21, 154777.26it/s]" ] }, { @@ -1427,7 +1427,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1756809/4997817 [00:11<00:20, 155118.45it/s]" + " 34%|███▍ | 1719468/4997817 [00:11<00:21, 154729.80it/s]" ] }, { @@ -1435,7 +1435,7 @@ "output_type": "stream", "text": [ "\r", - " 35%|███▌ | 1772353/4997817 [00:11<00:20, 155210.55it/s]" + " 35%|███▍ | 1734942/4997817 [00:11<00:21, 154566.62it/s]" ] }, { @@ -1443,7 +1443,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1787879/4997817 [00:11<00:20, 155071.46it/s]" + " 35%|███▌ | 1750507/4997817 [00:11<00:20, 154890.07it/s]" ] }, { @@ -1451,7 +1451,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▌ | 1803441/4997817 [00:11<00:20, 155232.57it/s]" + " 35%|███▌ | 1766005/4997817 [00:11<00:20, 154914.31it/s]" ] }, { @@ -1459,7 +1459,7 @@ "output_type": "stream", "text": [ "\r", - " 36%|███▋ | 1818967/4997817 [00:11<00:20, 155131.89it/s]" + " 36%|███▌ | 1781497/4997817 [00:11<00:21, 147546.06it/s]" ] }, { @@ -1467,7 +1467,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1834552/4997817 [00:11<00:20, 155345.75it/s]" + " 36%|███▌ | 1796958/4997817 [00:11<00:21, 149591.06it/s]" ] }, { @@ -1475,7 +1475,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1850088/4997817 [00:11<00:20, 155196.47it/s]" + " 36%|███▋ | 1812454/4997817 [00:11<00:21, 151160.60it/s]" ] }, { @@ -1483,7 +1483,7 @@ "output_type": "stream", "text": [ "\r", - " 37%|███▋ | 1865620/4997817 [00:11<00:20, 155230.31it/s]" + " 37%|███▋ | 1827877/4997817 [00:11<00:20, 152061.89it/s]" ] }, { @@ -1491,7 +1491,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1881152/4997817 [00:12<00:20, 155254.90it/s]" + " 37%|███▋ | 1843464/4997817 [00:12<00:20, 153189.44it/s]" ] }, { @@ -1499,7 +1499,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1896678/4997817 [00:12<00:19, 155248.93it/s]" + " 37%|███▋ | 1858984/4997817 [00:12<00:20, 153786.46it/s]" ] }, { @@ -1507,7 +1507,7 @@ "output_type": "stream", "text": [ "\r", - " 38%|███▊ | 1912204/4997817 [00:12<00:19, 155052.44it/s]" + " 38%|███▊ | 1874464/4997817 [00:12<00:20, 154084.92it/s]" ] }, { @@ -1515,7 +1515,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▊ | 1927782/4997817 [00:12<00:19, 155267.04it/s]" + " 38%|███▊ | 1889886/4997817 [00:12<00:20, 154001.26it/s]" ] }, { @@ -1523,7 +1523,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1943309/4997817 [00:12<00:20, 147382.65it/s]" + " 38%|███▊ | 1905352/4997817 [00:12<00:20, 154197.03it/s]" ] }, { @@ -1531,7 +1531,7 @@ "output_type": "stream", "text": [ "\r", - " 39%|███▉ | 1958900/4997817 [00:12<00:20, 149845.53it/s]" + " 38%|███▊ | 1920784/4997817 [00:12<00:19, 154230.24it/s]" ] }, { @@ -1539,7 +1539,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1974144/4997817 [00:12<00:20, 150601.16it/s]" + " 39%|███▊ | 1936212/4997817 [00:12<00:20, 148546.66it/s]" ] }, { @@ -1547,7 +1547,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|███▉ | 1989777/4997817 [00:12<00:19, 152285.11it/s]" + " 39%|███▉ | 1951414/4997817 [00:12<00:20, 149557.92it/s]" ] }, { @@ -1555,7 +1555,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2005339/4997817 [00:12<00:19, 153271.17it/s]" + " 39%|███▉ | 1966912/4997817 [00:12<00:20, 151149.78it/s]" ] }, { @@ -1563,7 +1563,7 @@ "output_type": "stream", "text": [ "\r", - " 40%|████ | 2020923/4997817 [00:12<00:19, 154032.12it/s]" + " 40%|███▉ | 1982262/4997817 [00:12<00:19, 151843.47it/s]" ] }, { @@ -1571,7 +1571,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2036556/4997817 [00:13<00:19, 154716.13it/s]" + " 40%|███▉ | 1997680/4997817 [00:13<00:19, 152533.87it/s]" ] }, { @@ -1579,7 +1579,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████ | 2052197/4997817 [00:13<00:18, 155218.30it/s]" + " 40%|████ | 2012949/4997817 [00:13<00:19, 152506.11it/s]" ] }, { @@ -1587,7 +1587,7 @@ "output_type": "stream", "text": [ "\r", - " 41%|████▏ | 2067791/4997817 [00:13<00:18, 155431.62it/s]" + " 41%|████ | 2028211/4997817 [00:13<00:19, 152396.45it/s]" ] }, { @@ -1595,7 +1595,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2083480/4997817 [00:13<00:18, 155866.53it/s]" + " 41%|████ | 2043459/4997817 [00:13<00:19, 152411.03it/s]" ] }, { @@ -1603,7 +1603,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2099072/4997817 [00:13<00:18, 153960.26it/s]" + " 41%|████ | 2058765/4997817 [00:13<00:19, 152604.20it/s]" ] }, { @@ -1611,7 +1611,7 @@ "output_type": "stream", "text": [ "\r", - " 42%|████▏ | 2114477/4997817 [00:13<00:19, 149462.47it/s]" + " 41%|████▏ | 2074030/4997817 [00:13<00:19, 152499.64it/s]" ] }, { @@ -1619,7 +1619,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2129964/4997817 [00:13<00:18, 151036.87it/s]" + " 42%|████▏ | 2089285/4997817 [00:13<00:19, 152513.02it/s]" ] }, { @@ -1627,7 +1627,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2145511/4997817 [00:13<00:18, 152339.93it/s]" + " 42%|████▏ | 2104539/4997817 [00:13<00:19, 151666.67it/s]" ] }, { @@ -1635,7 +1635,7 @@ "output_type": "stream", "text": [ "\r", - " 43%|████▎ | 2161091/4997817 [00:13<00:18, 153360.76it/s]" + " 42%|████▏ | 2119708/4997817 [00:13<00:19, 151082.79it/s]" ] }, { @@ -1643,7 +1643,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▎ | 2176618/4997817 [00:14<00:18, 153926.20it/s]" + " 43%|████▎ | 2134819/4997817 [00:13<00:18, 150954.13it/s]" ] }, { @@ -1651,7 +1651,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2192023/4997817 [00:14<00:18, 153927.27it/s]" + " 43%|████▎ | 2149966/4997817 [00:14<00:18, 151105.70it/s]" ] }, { @@ -1659,7 +1659,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2207487/4997817 [00:14<00:18, 154138.21it/s]" + " 43%|████▎ | 2165078/4997817 [00:14<00:18, 150864.63it/s]" ] }, { @@ -1667,7 +1667,7 @@ "output_type": "stream", "text": [ "\r", - " 44%|████▍ | 2222907/4997817 [00:14<00:18, 154133.22it/s]" + " 44%|████▎ | 2180212/4997817 [00:14<00:18, 151004.51it/s]" ] }, { @@ -1675,7 +1675,7 @@ "output_type": "stream", "text": [ "\r", - " 45%|████▍ | 2238462/4997817 [00:14<00:17, 154555.13it/s]" + " 44%|████▍ | 2195377/4997817 [00:14<00:18, 151195.99it/s]" ] }, { @@ -1683,7 +1683,7 @@ "output_type": "stream", "text": [ "\r", - " 45%|████▌ | 2254046/4997817 [00:14<00:17, 154936.96it/s]" + " 44%|████▍ | 2210676/4997817 [00:14<00:18, 151731.76it/s]" ] }, { @@ -1691,7 +1691,7 @@ "output_type": "stream", "text": [ "\r", - " 45%|████▌ | 2269542/4997817 [00:14<00:17, 154628.66it/s]" + " 45%|████▍ | 2225850/4997817 [00:14<00:18, 151531.53it/s]" ] }, { @@ -1699,7 +1699,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▌ | 2285034/4997817 [00:14<00:17, 154712.81it/s]" + " 45%|████▍ | 2241004/4997817 [00:14<00:18, 151333.79it/s]" ] }, { @@ -1707,7 +1707,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▌ | 2300521/4997817 [00:14<00:17, 154756.29it/s]" + " 45%|████▌ | 2256138/4997817 [00:14<00:18, 150729.51it/s]" ] }, { @@ -1715,7 +1715,7 @@ "output_type": "stream", "text": [ "\r", - " 46%|████▋ | 2316076/4997817 [00:14<00:17, 154990.85it/s]" + " 45%|████▌ | 2271212/4997817 [00:14<00:18, 150197.98it/s]" ] }, { @@ -1723,7 +1723,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2331731/4997817 [00:15<00:17, 155457.59it/s]" + " 46%|████▌ | 2286233/4997817 [00:15<00:18, 150187.72it/s]" ] }, { @@ -1731,7 +1731,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2347419/4997817 [00:15<00:17, 155882.10it/s]" + " 46%|████▌ | 2301330/4997817 [00:15<00:17, 150418.31it/s]" ] }, { @@ -1739,7 +1739,7 @@ "output_type": "stream", "text": [ "\r", - " 47%|████▋ | 2363116/4997817 [00:15<00:16, 156205.14it/s]" + " 46%|████▋ | 2316399/4997817 [00:15<00:17, 150498.24it/s]" ] }, { @@ -1747,7 +1747,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2378808/4997817 [00:15<00:16, 156417.45it/s]" + " 47%|████▋ | 2331548/4997817 [00:15<00:17, 150793.94it/s]" ] }, { @@ -1755,7 +1755,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2394450/4997817 [00:15<00:16, 156396.45it/s]" + " 47%|████▋ | 2346781/4997817 [00:15<00:17, 151253.19it/s]" ] }, { @@ -1763,7 +1763,7 @@ "output_type": "stream", "text": [ "\r", - " 48%|████▊ | 2410090/4997817 [00:15<00:16, 156233.00it/s]" + " 47%|████▋ | 2362004/4997817 [00:15<00:17, 151542.75it/s]" ] }, { @@ -1771,7 +1771,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▊ | 2425714/4997817 [00:15<00:16, 153347.97it/s]" + " 48%|████▊ | 2377162/4997817 [00:15<00:17, 151551.14it/s]" ] }, { @@ -1779,7 +1779,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 2441355/4997817 [00:15<00:16, 154251.91it/s]" + " 48%|████▊ | 2392436/4997817 [00:15<00:17, 151906.04it/s]" ] }, { @@ -1787,7 +1787,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 2456999/4997817 [00:15<00:16, 154899.45it/s]" + " 48%|████▊ | 2407643/4997817 [00:15<00:17, 151953.19it/s]" ] }, { @@ -1795,7 +1795,7 @@ "output_type": "stream", "text": [ "\r", - " 49%|████▉ | 2472573/4997817 [00:15<00:16, 155147.20it/s]" + " 48%|████▊ | 2423011/4997817 [00:15<00:16, 152469.29it/s]" ] }, { @@ -1803,7 +1803,7 @@ "output_type": "stream", "text": [ "\r", - " 50%|████▉ | 2488269/4997817 [00:16<00:16, 155687.39it/s]" + " 49%|████▉ | 2438258/4997817 [00:16<00:16, 152457.99it/s]" ] }, { @@ -1811,7 +1811,7 @@ "output_type": "stream", "text": [ "\r", - " 50%|█████ | 2503888/4997817 [00:16<00:16, 155834.72it/s]" + " 49%|████▉ | 2453589/4997817 [00:16<00:16, 152711.08it/s]" ] }, { @@ -1819,7 +1819,7 @@ "output_type": "stream", "text": [ "\r", - " 50%|█████ | 2519475/4997817 [00:16<00:15, 155805.85it/s]" + " 49%|████▉ | 2468861/4997817 [00:16<00:16, 152406.11it/s]" ] }, { @@ -1827,7 +1827,7 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████ | 2535058/4997817 [00:16<00:15, 155369.20it/s]" + " 50%|████▉ | 2484102/4997817 [00:16<00:16, 152383.37it/s]" ] }, { @@ -1835,7 +1835,7 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████ | 2550597/4997817 [00:16<00:15, 155179.21it/s]" + " 50%|█████ | 2499341/4997817 [00:16<00:16, 152361.67it/s]" ] }, { @@ -1843,7 +1843,7 @@ "output_type": "stream", "text": [ "\r", - " 51%|█████▏ | 2566117/4997817 [00:16<00:15, 155127.40it/s]" + " 50%|█████ | 2514736/4997817 [00:16<00:16, 152835.48it/s]" ] }, { @@ -1851,7 +1851,7 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████▏ | 2581758/4997817 [00:16<00:15, 155508.94it/s]" + " 51%|█████ | 2530062/4997817 [00:16<00:16, 152961.70it/s]" ] }, { @@ -1859,7 +1859,7 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████▏ | 2597417/4997817 [00:16<00:15, 155829.62it/s]" + " 51%|█████ | 2545402/4997817 [00:16<00:16, 153090.00it/s]" ] }, { @@ -1867,7 +1867,7 @@ "output_type": "stream", "text": [ "\r", - " 52%|█████▏ | 2613047/4997817 [00:16<00:15, 155967.82it/s]" + " 51%|█████ | 2560712/4997817 [00:16<00:15, 152472.61it/s]" ] }, { @@ -1875,7 +1875,7 @@ "output_type": "stream", "text": [ "\r", - " 53%|█████▎ | 2628736/4997817 [00:16<00:15, 156242.26it/s]" + " 52%|█████▏ | 2576006/4997817 [00:16<00:15, 152608.52it/s]" ] }, { @@ -1883,7 +1883,7 @@ "output_type": "stream", "text": [ "\r", - " 53%|█████▎ | 2644396/4997817 [00:17<00:15, 156346.54it/s]" + " 52%|█████▏ | 2591361/4997817 [00:17<00:15, 152887.01it/s]" ] }, { @@ -1891,7 +1891,7 @@ "output_type": "stream", "text": [ "\r", - " 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2738193/4997817 [00:17<00:14, 156195.92it/s]" + " 54%|█████▎ | 2682993/4997817 [00:17<00:15, 152551.51it/s]" ] }, { @@ -1939,7 +1939,7 @@ "output_type": "stream", "text": [ "\r", - " 55%|█████▌ | 2753813/4997817 [00:17<00:14, 150301.55it/s]" + " 54%|█████▍ | 2698249/4997817 [00:17<00:15, 152430.35it/s]" ] }, { @@ -1947,7 +1947,7 @@ "output_type": "stream", "text": [ "\r", - " 55%|█████▌ | 2769422/4997817 [00:17<00:14, 151987.78it/s]" + " 54%|█████▍ | 2713493/4997817 [00:17<00:14, 152302.06it/s]" ] }, { @@ -1955,7 +1955,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 2785064/4997817 [00:17<00:14, 153289.24it/s]" + " 55%|█████▍ | 2728724/4997817 [00:17<00:15, 151063.24it/s]" ] }, { @@ -1963,7 +1963,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▌ | 2800777/4997817 [00:18<00:14, 154423.61it/s]" + " 55%|█████▍ | 2743939/4997817 [00:18<00:14, 151383.79it/s]" ] }, { @@ -1971,7 +1971,7 @@ "output_type": "stream", "text": [ "\r", - " 56%|█████▋ | 2816532/4997817 [00:18<00:14, 155351.64it/s]" + " 55%|█████▌ | 2759158/4997817 [00:18<00:14, 151621.64it/s]" ] }, { @@ -1979,7 +1979,7 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████▋ | 2832326/4997817 [00:18<00:13, 156121.44it/s]" + " 56%|█████▌ | 2774348/4997817 [00:18<00:14, 151702.75it/s]" ] }, { @@ -1987,7 +1987,7 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████▋ | 2848000/4997817 [00:18<00:13, 156304.73it/s]" + " 56%|█████▌ | 2789597/4997817 [00:18<00:14, 151936.90it/s]" ] }, { @@ -1995,7 +1995,7 @@ "output_type": "stream", "text": [ "\r", - " 57%|█████▋ | 2863639/4997817 [00:18<00:13, 156075.36it/s]" + " 56%|█████▌ | 2804823/4997817 [00:18<00:14, 152032.20it/s]" ] }, { @@ -2003,7 +2003,7 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████▊ | 2879282/4997817 [00:18<00:13, 156179.98it/s]" + " 56%|█████▋ | 2820027/4997817 [00:18<00:14, 152028.49it/s]" ] }, { @@ -2011,7 +2011,7 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████▊ | 2894905/4997817 [00:18<00:13, 156130.38it/s]" + " 57%|█████▋ | 2835231/4997817 [00:18<00:14, 151863.98it/s]" ] }, { @@ -2019,7 +2019,7 @@ "output_type": "stream", "text": [ "\r", - " 58%|█████▊ | 2910521/4997817 [00:18<00:13, 155588.20it/s]" + " 57%|█████▋ | 2850481/4997817 [00:18<00:14, 152051.86it/s]" ] }, { @@ -2027,7 +2027,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▊ | 2926101/4997817 [00:18<00:13, 155647.77it/s]" + " 57%|█████▋ | 2865687/4997817 [00:18<00:14, 152021.10it/s]" ] }, { @@ -2035,7 +2035,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▉ | 2941668/4997817 [00:18<00:13, 155279.31it/s]" + " 58%|█████▊ | 2880890/4997817 [00:18<00:13, 151948.23it/s]" ] }, { @@ -2043,7 +2043,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▉ | 2957198/4997817 [00:19<00:13, 155117.95it/s]" + " 58%|█████▊ | 2896119/4997817 [00:19<00:13, 152047.99it/s]" ] }, { @@ -2051,7 +2051,7 @@ "output_type": "stream", "text": [ "\r", - " 59%|█████▉ | 2972765/4997817 [00:19<00:13, 155281.18it/s]" + " 58%|█████▊ | 2911324/4997817 [00:19<00:13, 151894.90it/s]" ] }, { @@ -2059,7 +2059,7 @@ "output_type": "stream", "text": [ "\r", - " 60%|█████▉ | 2988398/4997817 [00:19<00:12, 155591.93it/s]" + " 59%|█████▊ | 2926514/4997817 [00:19<00:13, 151707.99it/s]" ] }, { @@ -2067,7 +2067,7 @@ "output_type": "stream", "text": [ "\r", - " 60%|██████ | 3003958/4997817 [00:19<00:12, 155555.18it/s]" + " 59%|█████▉ | 2941685/4997817 [00:19<00:13, 151331.30it/s]" ] }, { @@ -2075,7 +2075,7 @@ "output_type": "stream", "text": [ "\r", - " 60%|██████ | 3019690/4997817 [00:19<00:12, 156080.74it/s]" + " 59%|█████▉ | 2956862/4997817 [00:19<00:13, 151461.27it/s]" ] }, { @@ -2083,7 +2083,7 @@ "output_type": "stream", "text": [ "\r", - " 61%|██████ | 3035372/4997817 [00:19<00:12, 156299.79it/s]" + " 59%|█████▉ | 2972034/4997817 [00:19<00:13, 151534.88it/s]" ] }, { @@ -2091,7 +2091,7 @@ "output_type": "stream", "text": [ "\r", - " 61%|██████ | 3051003/4997817 [00:19<00:12, 154260.07it/s]" + " 60%|█████▉ | 2987200/4997817 [00:19<00:13, 151569.37it/s]" ] }, { @@ -2099,7 +2099,7 @@ "output_type": "stream", "text": [ "\r", - " 61%|██████▏ | 3066480/4997817 [00:19<00:12, 154409.21it/s]" + " 60%|██████ | 3002482/4997817 [00:19<00:13, 151940.96it/s]" ] }, { @@ -2107,7 +2107,7 @@ "output_type": "stream", "text": [ "\r", - " 62%|██████▏ | 3082098/4997817 [00:19<00:12, 154934.80it/s]" + " 60%|██████ | 3017677/4997817 [00:19<00:13, 151819.15it/s]" ] }, { @@ -2115,7 +2115,7 @@ "output_type": "stream", "text": [ "\r", - " 62%|██████▏ | 3097722/4997817 [00:19<00:12, 155321.11it/s]" + " 61%|██████ | 3032885/4997817 [00:19<00:12, 151894.65it/s]" ] }, { @@ -2123,7 +2123,7 @@ "output_type": "stream", "text": [ "\r", - " 62%|██████▏ | 3113318/4997817 [00:20<00:12, 155509.63it/s]" + " 61%|██████ | 3048113/4997817 [00:20<00:12, 152008.14it/s]" ] }, { @@ -2131,7 +2131,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 3128913/4997817 [00:20<00:12, 155639.58it/s]" + " 61%|██████▏ | 3063393/4997817 [00:20<00:12, 152242.46it/s]" ] }, { @@ -2139,7 +2139,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 3144479/4997817 [00:20<00:11, 155436.41it/s]" + " 62%|██████▏ | 3078624/4997817 [00:20<00:12, 152259.82it/s]" ] }, { @@ -2147,7 +2147,7 @@ "output_type": "stream", "text": [ "\r", - " 63%|██████▎ | 3160024/4997817 [00:20<00:11, 155424.44it/s]" + " 62%|██████▏ | 3093999/4997817 [00:20<00:12, 152703.83it/s]" ] }, { @@ -2155,7 +2155,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▎ | 3175636/4997817 [00:20<00:11, 155631.16it/s]" + " 62%|██████▏ | 3109270/4997817 [00:20<00:12, 152597.70it/s]" ] }, { @@ -2163,7 +2163,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▍ | 3191241/4997817 [00:20<00:11, 155756.16it/s]" + " 63%|██████▎ | 3124545/4997817 [00:20<00:12, 152640.02it/s]" ] }, { @@ -2171,7 +2171,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▍ | 3206843/4997817 [00:20<00:11, 155833.52it/s]" + " 63%|██████▎ | 3139820/4997817 [00:20<00:12, 152672.28it/s]" ] }, { @@ -2179,7 +2179,7 @@ "output_type": "stream", "text": [ "\r", - " 64%|██████▍ | 3222427/4997817 [00:20<00:11, 155273.07it/s]" + " 63%|██████▎ | 3155088/4997817 [00:20<00:12, 152185.95it/s]" ] }, { @@ -2187,7 +2187,7 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████▍ | 3237981/4997817 [00:20<00:11, 155351.19it/s]" + " 63%|██████▎ | 3170307/4997817 [00:20<00:12, 152112.32it/s]" ] }, { @@ -2195,7 +2195,7 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████▌ | 3253517/4997817 [00:20<00:11, 154931.20it/s]" + " 64%|██████▎ | 3185530/4997817 [00:20<00:11, 152144.01it/s]" ] }, { @@ -2203,7 +2203,7 @@ "output_type": "stream", "text": [ "\r", - " 65%|██████▌ | 3269081/4997817 [00:21<00:11, 155140.63it/s]" + " 64%|██████▍ | 3200769/4997817 [00:21<00:11, 152215.78it/s]" ] }, { @@ -2211,7 +2211,7 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████▌ | 3284643/4997817 [00:21<00:11, 155282.26it/s]" + " 64%|██████▍ | 3215991/4997817 [00:21<00:11, 152101.57it/s]" ] }, { @@ -2219,7 +2219,7 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████▌ | 3300172/4997817 [00:21<00:10, 154899.59it/s]" + " 65%|██████▍ | 3231212/4997817 [00:21<00:11, 152132.03it/s]" ] }, { @@ -2227,7 +2227,7 @@ "output_type": "stream", "text": [ "\r", - " 66%|██████▋ | 3315734/4997817 [00:21<00:10, 155110.38it/s]" + " 65%|██████▍ | 3246456/4997817 [00:21<00:11, 152222.64it/s]" ] }, { @@ -2235,7 +2235,7 @@ "output_type": "stream", "text": [ "\r", - " 67%|██████▋ | 3331370/4997817 [00:21<00:10, 155482.10it/s]" + " 65%|██████▌ | 3261753/4997817 [00:21<00:11, 152443.70it/s]" ] }, { @@ -2243,7 +2243,7 @@ "output_type": "stream", "text": [ "\r", - " 67%|██████▋ | 3346919/4997817 [00:21<00:10, 155478.18it/s]" + " 66%|██████▌ | 3277013/4997817 [00:21<00:11, 152488.65it/s]" ] }, { @@ -2251,7 +2251,7 @@ "output_type": "stream", "text": [ "\r", - " 67%|██████▋ | 3362526/4997817 [00:21<00:10, 155654.59it/s]" + " 66%|██████▌ | 3292262/4997817 [00:21<00:11, 152111.15it/s]" ] }, { @@ -2259,7 +2259,7 @@ "output_type": "stream", "text": [ "\r", - " 68%|██████▊ | 3378092/4997817 [00:21<00:10, 155458.59it/s]" + " 66%|██████▌ | 3307474/4997817 [00:21<00:11, 151890.48it/s]" ] }, { @@ -2267,7 +2267,7 @@ "output_type": "stream", "text": [ "\r", - " 68%|██████▊ | 3393723/4997817 [00:21<00:10, 155711.81it/s]" + " 66%|██████▋ | 3322664/4997817 [00:21<00:11, 151792.11it/s]" ] }, { @@ -2275,7 +2275,7 @@ "output_type": "stream", "text": [ "\r", - " 68%|██████▊ | 3409391/4997817 [00:21<00:10, 155999.46it/s]" + " 67%|██████▋ | 3338019/4997817 [00:21<00:10, 152314.90it/s]" ] }, { @@ -2283,7 +2283,7 @@ "output_type": "stream", "text": [ "\r", - " 69%|██████▊ | 3425019/4997817 [00:22<00:10, 156082.27it/s]" + " 67%|██████▋ | 3353323/4997817 [00:22<00:10, 152529.53it/s]" ] }, { @@ -2291,7 +2291,7 @@ "output_type": "stream", "text": [ "\r", - " 69%|██████▉ | 3440777/4997817 [00:22<00:09, 156528.39it/s]" + " 67%|██████▋ | 3368577/4997817 [00:22<00:10, 152460.16it/s]" ] }, { @@ -2299,7 +2299,7 @@ "output_type": "stream", "text": [ "\r", - " 69%|██████▉ | 3456471/4997817 [00:22<00:09, 156650.75it/s]" + " 68%|██████▊ | 3383824/4997817 [00:22<00:10, 152309.28it/s]" ] }, { @@ -2307,7 +2307,7 @@ "output_type": "stream", "text": [ "\r", - " 69%|██████▉ | 3472159/4997817 [00:22<00:09, 156718.43it/s]" + " 68%|██████▊ | 3399056/4997817 [00:22<00:10, 151943.79it/s]" ] }, { @@ -2315,7 +2315,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|██████▉ | 3487831/4997817 [00:22<00:09, 156663.27it/s]" + " 68%|██████▊ | 3414251/4997817 [00:22<00:10, 151765.12it/s]" ] }, { @@ -2323,7 +2323,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|███████ | 3503498/4997817 [00:22<00:09, 156604.19it/s]" + " 69%|██████▊ | 3429493/4997817 [00:22<00:10, 151958.92it/s]" ] }, { @@ -2331,7 +2331,7 @@ "output_type": "stream", "text": [ "\r", - " 70%|███████ | 3519159/4997817 [00:22<00:09, 156242.75it/s]" + " 69%|██████▉ | 3444690/4997817 [00:22<00:10, 151836.87it/s]" ] }, { @@ -2339,7 +2339,7 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████ | 3534858/4997817 [00:22<00:09, 156463.62it/s]" + " 69%|██████▉ | 3459874/4997817 [00:22<00:10, 151774.03it/s]" ] }, { @@ -2347,7 +2347,7 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████ | 3550505/4997817 [00:22<00:09, 149036.13it/s]" + " 70%|██████▉ | 3475111/4997817 [00:22<00:10, 151949.21it/s]" ] }, { @@ -2355,7 +2355,7 @@ "output_type": "stream", "text": [ "\r", - " 71%|███████▏ | 3566172/4997817 [00:22<00:09, 151244.49it/s]" + " 70%|██████▉ | 3490307/4997817 [00:22<00:09, 151945.21it/s]" ] }, { @@ -2363,7 +2363,7 @@ "output_type": "stream", "text": [ "\r", - " 72%|███████▏ | 3581958/4997817 [00:23<00:09, 153178.22it/s]" + " 70%|███████ | 3505502/4997817 [00:23<00:09, 149425.36it/s]" ] }, { @@ -2371,7 +2371,7 @@ "output_type": "stream", "text": [ "\r", - " 72%|███████▏ | 3597789/4997817 [00:23<00:09, 154690.37it/s]" + " 70%|███████ | 3520675/4997817 [00:23<00:09, 150104.81it/s]" ] }, { @@ -2379,7 +2379,7 @@ "output_type": "stream", "text": [ "\r", - " 72%|███████▏ | 3613468/4997817 [00:23<00:08, 155310.76it/s]" + " 71%|███████ | 3536035/4997817 [00:23<00:09, 151141.36it/s]" ] }, { @@ -2387,7 +2387,7 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████▎ | 3629200/4997817 [00:23<00:08, 155906.08it/s]" + " 71%|███████ | 3551305/4997817 [00:23<00:09, 151603.89it/s]" ] }, { @@ -2395,7 +2395,7 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████▎ | 3644976/4997817 [00:23<00:08, 156457.28it/s]" + " 71%|███████▏ | 3566631/4997817 [00:23<00:09, 152096.15it/s]" ] }, { @@ -2403,7 +2403,7 @@ "output_type": "stream", "text": [ "\r", - " 73%|███████▎ | 3660681/4997817 [00:23<00:08, 156631.04it/s]" + " 72%|███████▏ | 3582057/4997817 [00:23<00:09, 152739.92it/s]" ] }, { @@ -2411,7 +2411,7 @@ "output_type": "stream", "text": [ "\r", - " 74%|███████▎ | 3676412/4997817 [00:23<00:08, 156830.70it/s]" + " 72%|███████▏ | 3597451/4997817 [00:23<00:09, 153097.47it/s]" ] }, { @@ -2419,7 +2419,7 @@ "output_type": "stream", "text": [ "\r", - " 74%|███████▍ | 3692102/4997817 [00:23<00:08, 156763.32it/s]" + " 72%|███████▏ | 3612812/4997817 [00:23<00:09, 153248.53it/s]" ] }, { @@ -2427,7 +2427,7 @@ "output_type": "stream", "text": [ "\r", - " 74%|███████▍ | 3707783/4997817 [00:23<00:08, 156228.59it/s]" + " 73%|███████▎ | 3628145/4997817 [00:23<00:08, 153269.81it/s]" ] }, { @@ -2435,7 +2435,7 @@ "output_type": "stream", "text": [ "\r", - " 75%|███████▍ | 3723410/4997817 [00:23<00:08, 156001.90it/s]" + " 73%|███████▎ | 3643473/4997817 [00:23<00:08, 153075.54it/s]" ] }, { @@ -2443,7 +2443,7 @@ "output_type": "stream", "text": [ "\r", - " 75%|███████▍ | 3739013/4997817 [00:24<00:08, 155896.92it/s]" + " 73%|███████▎ | 3658782/4997817 [00:24<00:08, 152987.26it/s]" ] }, { @@ -2451,7 +2451,7 @@ "output_type": "stream", "text": [ "\r", - " 75%|███████▌ | 3754680/4997817 [00:24<00:07, 156126.72it/s]" + " 74%|███████▎ | 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3751101/4997817 [00:24<00:08, 153486.47it/s]" ] }, { @@ -2499,7 +2499,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 3848345/4997817 [00:24<00:07, 156059.90it/s]" + " 75%|███████▌ | 3766504/4997817 [00:24<00:08, 153647.63it/s]" ] }, { @@ -2507,7 +2507,7 @@ "output_type": "stream", "text": [ "\r", - " 77%|███████▋ | 3863952/4997817 [00:24<00:07, 148367.40it/s]" + " 76%|███████▌ | 3781869/4997817 [00:24<00:07, 153439.48it/s]" ] }, { @@ -2515,7 +2515,7 @@ "output_type": "stream", "text": [ "\r", - " 78%|███████▊ | 3879632/4997817 [00:24<00:07, 150805.37it/s]" + " 76%|███████▌ | 3797284/4997817 [00:24<00:07, 153648.41it/s]" ] }, { @@ -2523,7 +2523,7 @@ "output_type": "stream", "text": [ "\r", - " 78%|███████▊ | 3895335/4997817 [00:25<00:07, 152623.35it/s]" + " 76%|███████▋ | 3812649/4997817 [00:25<00:07, 153206.91it/s]" ] }, { @@ -2531,7 +2531,7 @@ "output_type": "stream", "text": [ "\r", - " 78%|███████▊ | 3911069/4997817 [00:25<00:07, 154010.55it/s]" + " 77%|███████▋ | 3828069/4997817 [00:25<00:07, 153502.20it/s]" ] }, { @@ -2539,7 +2539,7 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████▊ | 3926784/4997817 [00:25<00:06, 154938.94it/s]" + " 77%|███████▋ | 3843420/4997817 [00:25<00:07, 153333.71it/s]" ] }, { @@ -2547,7 +2547,7 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████▉ | 3942544/4997817 [00:25<00:06, 155727.99it/s]" + " 77%|███████▋ | 3858826/4997817 [00:25<00:07, 153549.42it/s]" ] }, { @@ -2555,7 +2555,7 @@ "output_type": "stream", "text": [ "\r", - " 79%|███████▉ | 3958159/4997817 [00:25<00:06, 155850.31it/s]" + " 78%|███████▊ | 3874182/4997817 [00:25<00:07, 153524.89it/s]" ] }, { @@ -2563,7 +2563,7 @@ "output_type": "stream", "text": [ "\r", - " 80%|███████▉ | 3973923/4997817 [00:25<00:06, 156382.04it/s]" + " 78%|███████▊ | 3889575/4997817 [00:25<00:07, 153644.24it/s]" ] }, { @@ -2571,7 +2571,7 @@ "output_type": "stream", "text": [ "\r", - " 80%|███████▉ | 3989706/4997817 [00:25<00:06, 156813.02it/s]" + " 78%|███████▊ | 3904940/4997817 [00:25<00:07, 153484.99it/s]" ] }, { @@ -2579,7 +2579,7 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████ | 4005509/4997817 [00:25<00:06, 157173.90it/s]" + " 78%|███████▊ | 3920289/4997817 [00:25<00:07, 153285.72it/s]" ] }, { @@ -2587,7 +2587,7 @@ "output_type": "stream", "text": [ "\r", - " 80%|████████ | 4021268/4997817 [00:25<00:06, 157297.01it/s]" + " 79%|███████▊ | 3935618/4997817 [00:25<00:06, 153225.79it/s]" ] }, { @@ -2595,7 +2595,7 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████ | 4037002/4997817 [00:25<00:06, 156864.65it/s]" + " 79%|███████▉ | 3951084/4997817 [00:25<00:06, 153653.44it/s]" ] }, { @@ -2603,7 +2603,7 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████ | 4052692/4997817 [00:26<00:06, 156360.66it/s]" + " 79%|███████▉ | 3966477/4997817 [00:26<00:06, 153733.07it/s]" ] }, { @@ -2611,7 +2611,7 @@ "output_type": "stream", "text": [ "\r", - " 81%|████████▏ | 4068403/4997817 [00:26<00:05, 156583.00it/s]" + " 80%|███████▉ | 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81%|████████ | 4058574/4997817 [00:26<00:06, 152649.60it/s]" ] }, { @@ -2659,7 +2659,7 @@ "output_type": "stream", "text": [ "\r", - " 83%|████████▎ | 4162905/4997817 [00:26<00:05, 157101.40it/s]" + " 82%|████████▏ | 4073840/4997817 [00:26<00:06, 152492.42it/s]" ] }, { @@ -2667,7 +2667,7 @@ "output_type": "stream", "text": [ "\r", - " 84%|████████▎ | 4178673/4997817 [00:26<00:05, 157271.82it/s]" + " 82%|████████▏ | 4089090/4997817 [00:26<00:05, 152227.07it/s]" ] }, { @@ -2675,7 +2675,7 @@ "output_type": "stream", "text": [ "\r", - " 84%|████████▍ | 4194401/4997817 [00:26<00:05, 154293.22it/s]" + " 82%|████████▏ | 4104313/4997817 [00:26<00:05, 150900.00it/s]" ] }, { @@ -2683,7 +2683,7 @@ "output_type": "stream", "text": [ "\r", - " 84%|████████▍ | 4210003/4997817 [00:27<00:05, 154802.00it/s]" + " 82%|████████▏ | 4119406/4997817 [00:27<00:05, 150874.09it/s]" ] }, { @@ -2691,7 +2691,7 @@ "output_type": "stream", "text": [ "\r", - " 85%|████████▍ | 4225675/4997817 [00:27<00:04, 155369.63it/s]" + " 83%|████████▎ | 4134496/4997817 [00:27<00:05, 150440.82it/s]" ] }, { @@ -2699,7 +2699,7 @@ "output_type": "stream", "text": [ "\r", - " 85%|████████▍ | 4241497/4997817 [00:27<00:04, 156216.58it/s]" + " 83%|████████▎ | 4149652/4997817 [00:27<00:05, 150772.45it/s]" ] }, { @@ -2707,7 +2707,7 @@ "output_type": "stream", "text": [ "\r", - " 85%|████████▌ | 4257316/4997817 [00:27<00:04, 156802.39it/s]" + " 83%|████████▎ | 4164918/4997817 [00:27<00:05, 151334.08it/s]" ] }, { @@ -2715,7 +2715,7 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████▌ | 4273149/4997817 [00:27<00:04, 157256.33it/s]" + " 84%|████████▎ | 4180089/4997817 [00:27<00:05, 151445.14it/s]" ] }, { @@ -2723,7 +2723,7 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████▌ | 4288963/4997817 [00:27<00:04, 157517.68it/s]" + " 84%|████████▍ | 4195260/4997817 [00:27<00:05, 151520.79it/s]" ] }, { @@ -2731,7 +2731,7 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████▌ | 4304819/4997817 [00:27<00:04, 157827.29it/s]" + " 84%|████████▍ | 4210505/4997817 [00:27<00:05, 151795.15it/s]" ] }, { @@ -2739,7 +2739,7 @@ "output_type": "stream", "text": [ "\r", - " 86%|████████▋ | 4320680/4997817 [00:27<00:04, 158060.62it/s]" + " 85%|████████▍ | 4225702/4997817 [00:27<00:05, 151845.96it/s]" ] }, { @@ -2747,7 +2747,7 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████▋ | 4336553/4997817 [00:27<00:04, 158259.05it/s]" + " 85%|████████▍ | 4240887/4997817 [00:27<00:04, 151794.49it/s]" ] }, { @@ -2755,7 +2755,7 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████▋ | 4352399/4997817 [00:27<00:04, 158317.30it/s]" + " 85%|████████▌ | 4256251/4997817 [00:27<00:04, 152343.50it/s]" ] }, { @@ -2763,7 +2763,7 @@ "output_type": "stream", "text": [ "\r", - " 87%|████████▋ | 4368232/4997817 [00:28<00:03, 157914.38it/s]" + " 85%|████████▌ | 4271644/4997817 [00:28<00:04, 152816.49it/s]" ] }, { @@ -2771,7 +2771,7 @@ "output_type": "stream", "text": [ "\r", - " 88%|████████▊ | 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"\r", - " 91%|█████████ | 4542329/4997817 [00:29<00:02, 157754.78it/s]" + " 89%|████████▉ | 4439438/4997817 [00:29<00:03, 149259.24it/s]" ] }, { @@ -2859,7 +2859,7 @@ "output_type": "stream", "text": [ "\r", - " 91%|█████████ | 4558105/4997817 [00:29<00:02, 157720.35it/s]" + " 89%|████████▉ | 4454678/4997817 [00:29<00:03, 150183.80it/s]" ] }, { @@ -2867,7 +2867,7 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████▏| 4573998/4997817 [00:29<00:02, 158079.44it/s]" + " 89%|████████▉ | 4469725/4997817 [00:29<00:03, 143754.53it/s]" ] }, { @@ -2875,7 +2875,7 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████▏| 4589845/4997817 [00:29<00:02, 158195.87it/s]" + " 90%|████████▉ | 4484985/4997817 [00:29<00:03, 146305.35it/s]" ] }, { @@ -2883,7 +2883,7 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████▏| 4605665/4997817 [00:29<00:02, 158104.94it/s]" + " 90%|█████████ | 4500321/4997817 [00:29<00:03, 148363.06it/s]" ] }, { @@ -2891,7 +2891,7 @@ "output_type": "stream", "text": [ "\r", - " 92%|█████████▏| 4621476/4997817 [00:29<00:02, 157979.37it/s]" + " 90%|█████████ | 4515705/4997817 [00:29<00:03, 149972.16it/s]" ] }, { @@ -2899,7 +2899,7 @@ "output_type": "stream", "text": [ "\r", - " 93%|█████████▎| 4637312/4997817 [00:29<00:02, 158092.68it/s]" + " 91%|█████████ | 4530858/4997817 [00:29<00:03, 150429.10it/s]" ] }, { @@ -2907,7 +2907,7 @@ "output_type": "stream", "text": [ "\r", - " 93%|█████████▎| 4653156/4997817 [00:29<00:02, 158194.47it/s]" + " 91%|█████████ | 4546128/4997817 [00:29<00:02, 151102.00it/s]" ] }, { @@ -2915,7 +2915,7 @@ "output_type": "stream", "text": [ "\r", - " 93%|█████████▎| 4668976/4997817 [00:29<00:02, 157925.00it/s]" + " 91%|█████████▏| 4561495/4997817 [00:29<00:02, 151865.67it/s]" ] }, { @@ -2923,7 +2923,7 @@ "output_type": "stream", "text": [ "\r", - " 94%|█████████▎| 4684769/4997817 [00:30<00:01, 157455.42it/s]" + " 92%|█████████▏| 4576696/4997817 [00:30<00:02, 151896.16it/s]" ] }, { @@ -2931,7 +2931,7 @@ "output_type": "stream", "text": [ "\r", - " 94%|█████████▍| 4700543/4997817 [00:30<00:01, 157536.86it/s]" + " 92%|█████████▏| 4591896/4997817 [00:30<00:02, 151748.87it/s]" ] }, { @@ -2939,7 +2939,7 @@ "output_type": "stream", "text": [ "\r", - " 94%|█████████▍| 4716321/4997817 [00:30<00:01, 157608.67it/s]" + " 92%|█████████▏| 4607105/4997817 [00:30<00:02, 151849.63it/s]" ] }, { @@ -2947,7 +2947,7 @@ "output_type": "stream", "text": [ "\r", - " 95%|█████████▍| 4732087/4997817 [00:30<00:01, 157621.05it/s]" + " 92%|█████████▏| 4622426/4997817 [00:30<00:02, 152253.40it/s]" ] }, { @@ -2955,7 +2955,7 @@ "output_type": "stream", "text": [ "\r", - " 95%|█████████▍| 4747850/4997817 [00:30<00:01, 157549.04it/s]" + " 93%|█████████▎| 4637655/4997817 [00:30<00:02, 152253.97it/s]" ] }, { @@ -2963,7 +2963,7 @@ "output_type": "stream", "text": [ "\r", - " 95%|█████████▌| 4763606/4997817 [00:30<00:01, 157330.93it/s]" + " 93%|█████████▎| 4652942/4997817 [00:30<00:02, 152435.88it/s]" ] }, { @@ -2971,7 +2971,7 @@ "output_type": "stream", "text": [ "\r", - " 96%|█████████▌| 4779340/4997817 [00:30<00:01, 156851.46it/s]" + " 93%|█████████▎| 4668228/4997817 [00:30<00:02, 152559.13it/s]" ] }, { @@ -2979,7 +2979,7 @@ "output_type": "stream", "text": [ "\r", - " 96%|█████████▌| 4795062/4997817 [00:30<00:01, 156958.89it/s]" + " 94%|█████████▎| 4683506/4997817 [00:30<00:02, 152624.09it/s]" ] }, { @@ -2987,7 +2987,7 @@ "output_type": "stream", "text": [ "\r", - " 96%|█████████▋| 4810759/4997817 [00:30<00:01, 156924.75it/s]" + " 94%|█████████▍| 4698770/4997817 [00:30<00:01, 152408.14it/s]" ] }, { @@ -2995,7 +2995,7 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████▋| 4826479/4997817 [00:30<00:01, 157004.31it/s]" + " 94%|█████████▍| 4714012/4997817 [00:30<00:01, 152314.36it/s]" ] }, { @@ -3003,7 +3003,7 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████▋| 4842180/4997817 [00:31<00:01, 153018.17it/s]" + " 95%|█████████▍| 4729244/4997817 [00:31<00:01, 152253.45it/s]" ] }, { @@ -3011,7 +3011,7 @@ "output_type": "stream", "text": [ "\r", - " 97%|█████████▋| 4857754/4997817 [00:31<00:00, 153817.46it/s]" + " 95%|█████████▍| 4744470/4997817 [00:31<00:01, 148906.69it/s]" ] }, { @@ -3019,7 +3019,7 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████▊| 4873365/4997817 [00:31<00:00, 154494.84it/s]" + " 95%|█████████▌| 4759678/4997817 [00:31<00:01, 149840.73it/s]" ] }, { @@ -3027,7 +3027,7 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████▊| 4888941/4997817 [00:31<00:00, 154867.71it/s]" + " 96%|█████████▌| 4774923/4997817 [00:31<00:01, 150611.02it/s]" ] }, { @@ -3035,7 +3035,7 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████▊| 4904521/4997817 [00:31<00:00, 155143.07it/s]" + " 96%|█████████▌| 4790208/4997817 [00:31<00:01, 151275.27it/s]" ] }, { @@ -3043,7 +3043,7 @@ "output_type": "stream", "text": [ "\r", - " 98%|█████████▊| 4920058/4997817 [00:31<00:00, 155210.22it/s]" + " 96%|█████████▌| 4805406/4997817 [00:31<00:01, 151482.40it/s]" ] }, { 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"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", - "_model_name": "HBoxModel", + "_model_name": "HTMLModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", - "_view_name": "HBoxView", - "box_style": "", - "children": [ - "IPY_MODEL_77a6a651adfb453fa5d94c5e24358725", - "IPY_MODEL_92739bcd527e4b43b2729ff01f60f8f6", - "IPY_MODEL_54e4956dd0ef45b88635518452443a61" - ], - "layout": "IPY_MODEL_ad6f45a3725e4aafa3404454d480c462", + "_view_name": "HTMLView", + "description": "", + "description_allow_html": false, + "layout": "IPY_MODEL_6d2092724d374342be5b8f9b4a89b9d9", + "placeholder": "​", + "style": "IPY_MODEL_8b227e07b4534bf5bb14643f40e77d70", "tabbable": null, - "tooltip": null + "tooltip": null, + "value": "number of examples processed for checking labels: 100%" } }, - "fc49518bd58b48719e6296222d8ba180": { + "fde2f9b7dcca4cb7b2e34c2392682342": { "model_module": "@jupyter-widgets/base", "model_module_version": "2.0.0", "model_name": "LayoutModel", diff --git a/master/.doctrees/nbsphinx/tutorials/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/tabular.ipynb index 2936ca8bb..b9ef97a18 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": "2024-02-08T04:34:56.168205Z", - "iopub.status.busy": "2024-02-08T04:34:56.168034Z", - "iopub.status.idle": "2024-02-08T04:34:57.205458Z", - "shell.execute_reply": "2024-02-08T04:34:57.204912Z" + "iopub.execute_input": "2024-02-08T05:21:26.796223Z", + "iopub.status.busy": "2024-02-08T05:21:26.796052Z", + "iopub.status.idle": "2024-02-08T05:21:27.890548Z", + "shell.execute_reply": "2024-02-08T05:21:27.889969Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:34:57.208050Z", - "iopub.status.busy": "2024-02-08T04:34:57.207540Z", - "iopub.status.idle": "2024-02-08T04:34:57.225990Z", - "shell.execute_reply": "2024-02-08T04:34:57.225451Z" + "iopub.execute_input": "2024-02-08T05:21:27.893054Z", + "iopub.status.busy": "2024-02-08T05:21:27.892746Z", + "iopub.status.idle": "2024-02-08T05:21:27.911932Z", + "shell.execute_reply": "2024-02-08T05:21:27.911437Z" } }, "outputs": [], @@ -194,10 +194,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.228346Z", - "iopub.status.busy": "2024-02-08T04:34:57.227916Z", - "iopub.status.idle": "2024-02-08T04:34:57.283231Z", - "shell.execute_reply": "2024-02-08T04:34:57.282803Z" + "iopub.execute_input": "2024-02-08T05:21:27.914373Z", + "iopub.status.busy": "2024-02-08T05:21:27.913935Z", + "iopub.status.idle": "2024-02-08T05:21:28.082310Z", + "shell.execute_reply": "2024-02-08T05:21:28.081788Z" } }, "outputs": [ @@ -304,10 +304,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.285089Z", - "iopub.status.busy": "2024-02-08T04:34:57.284916Z", - "iopub.status.idle": "2024-02-08T04:34:57.288911Z", - "shell.execute_reply": "2024-02-08T04:34:57.288480Z" + "iopub.execute_input": "2024-02-08T05:21:28.084545Z", + "iopub.status.busy": "2024-02-08T05:21:28.084209Z", + "iopub.status.idle": "2024-02-08T05:21:28.088771Z", + "shell.execute_reply": "2024-02-08T05:21:28.088328Z" } }, "outputs": [], @@ -328,10 +328,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.290970Z", - "iopub.status.busy": "2024-02-08T04:34:57.290645Z", - "iopub.status.idle": "2024-02-08T04:34:57.298491Z", - "shell.execute_reply": "2024-02-08T04:34:57.298062Z" + "iopub.execute_input": "2024-02-08T05:21:28.090816Z", + "iopub.status.busy": "2024-02-08T05:21:28.090483Z", + "iopub.status.idle": "2024-02-08T05:21:28.098465Z", + "shell.execute_reply": "2024-02-08T05:21:28.098061Z" } }, "outputs": [], @@ -383,10 +383,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.300467Z", - "iopub.status.busy": "2024-02-08T04:34:57.300291Z", - "iopub.status.idle": "2024-02-08T04:34:57.302706Z", - "shell.execute_reply": "2024-02-08T04:34:57.302290Z" + "iopub.execute_input": "2024-02-08T05:21:28.100552Z", + "iopub.status.busy": "2024-02-08T05:21:28.100251Z", + "iopub.status.idle": "2024-02-08T05:21:28.102793Z", + "shell.execute_reply": "2024-02-08T05:21:28.102365Z" } }, "outputs": [], @@ -408,10 +408,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.304634Z", - "iopub.status.busy": "2024-02-08T04:34:57.304375Z", - "iopub.status.idle": "2024-02-08T04:34:57.820042Z", - "shell.execute_reply": "2024-02-08T04:34:57.819446Z" + "iopub.execute_input": "2024-02-08T05:21:28.104759Z", + "iopub.status.busy": "2024-02-08T05:21:28.104437Z", + "iopub.status.idle": "2024-02-08T05:21:28.627194Z", + "shell.execute_reply": "2024-02-08T05:21:28.626590Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:57.822290Z", - "iopub.status.busy": "2024-02-08T04:34:57.822100Z", - "iopub.status.idle": "2024-02-08T04:34:59.439361Z", - "shell.execute_reply": "2024-02-08T04:34:59.438712Z" + "iopub.execute_input": "2024-02-08T05:21:28.629718Z", + "iopub.status.busy": "2024-02-08T05:21:28.629519Z", + "iopub.status.idle": "2024-02-08T05:21:30.345006Z", + "shell.execute_reply": "2024-02-08T05:21:30.344349Z" } }, "outputs": [ @@ -480,10 +480,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.441941Z", - "iopub.status.busy": "2024-02-08T04:34:59.441397Z", - "iopub.status.idle": "2024-02-08T04:34:59.451265Z", - "shell.execute_reply": "2024-02-08T04:34:59.450745Z" + "iopub.execute_input": "2024-02-08T05:21:30.347698Z", + "iopub.status.busy": "2024-02-08T05:21:30.347087Z", + "iopub.status.idle": "2024-02-08T05:21:30.357476Z", + "shell.execute_reply": "2024-02-08T05:21:30.357044Z" } }, "outputs": [ @@ -604,10 +604,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.453333Z", - "iopub.status.busy": "2024-02-08T04:34:59.453038Z", - "iopub.status.idle": "2024-02-08T04:34:59.456989Z", - "shell.execute_reply": "2024-02-08T04:34:59.456463Z" + "iopub.execute_input": "2024-02-08T05:21:30.359601Z", + "iopub.status.busy": "2024-02-08T05:21:30.359266Z", + "iopub.status.idle": "2024-02-08T05:21:30.363308Z", + "shell.execute_reply": "2024-02-08T05:21:30.362856Z" } }, "outputs": [], @@ -632,10 +632,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.458991Z", - "iopub.status.busy": "2024-02-08T04:34:59.458687Z", - "iopub.status.idle": "2024-02-08T04:34:59.465944Z", - "shell.execute_reply": "2024-02-08T04:34:59.465410Z" + "iopub.execute_input": "2024-02-08T05:21:30.365471Z", + "iopub.status.busy": "2024-02-08T05:21:30.365138Z", + "iopub.status.idle": "2024-02-08T05:21:30.372669Z", + "shell.execute_reply": "2024-02-08T05:21:30.372107Z" } }, "outputs": [], @@ -657,10 +657,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.468039Z", - "iopub.status.busy": "2024-02-08T04:34:59.467734Z", - "iopub.status.idle": "2024-02-08T04:34:59.578269Z", - "shell.execute_reply": "2024-02-08T04:34:59.577713Z" + "iopub.execute_input": "2024-02-08T05:21:30.374752Z", + "iopub.status.busy": "2024-02-08T05:21:30.374445Z", + "iopub.status.idle": "2024-02-08T05:21:30.486095Z", + "shell.execute_reply": "2024-02-08T05:21:30.485529Z" } }, "outputs": [ @@ -690,10 +690,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.580205Z", - "iopub.status.busy": "2024-02-08T04:34:59.579900Z", - "iopub.status.idle": "2024-02-08T04:34:59.582454Z", - "shell.execute_reply": "2024-02-08T04:34:59.582023Z" + "iopub.execute_input": "2024-02-08T05:21:30.488417Z", + "iopub.status.busy": "2024-02-08T05:21:30.488030Z", + "iopub.status.idle": "2024-02-08T05:21:30.490919Z", + "shell.execute_reply": "2024-02-08T05:21:30.490384Z" } }, "outputs": [], @@ -714,10 +714,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:34:59.584391Z", - "iopub.status.busy": "2024-02-08T04:34:59.584095Z", - "iopub.status.idle": "2024-02-08T04:35:01.501613Z", - "shell.execute_reply": "2024-02-08T04:35:01.500883Z" + "iopub.execute_input": "2024-02-08T05:21:30.493045Z", + "iopub.status.busy": "2024-02-08T05:21:30.492674Z", + "iopub.status.idle": "2024-02-08T05:21:32.504865Z", + "shell.execute_reply": "2024-02-08T05:21:32.504227Z" } }, "outputs": [], @@ -737,10 +737,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:01.504393Z", - "iopub.status.busy": "2024-02-08T04:35:01.503839Z", - "iopub.status.idle": "2024-02-08T04:35:01.514594Z", - "shell.execute_reply": "2024-02-08T04:35:01.514050Z" + "iopub.execute_input": "2024-02-08T05:21:32.507962Z", + "iopub.status.busy": "2024-02-08T05:21:32.507270Z", + "iopub.status.idle": "2024-02-08T05:21:32.519238Z", + "shell.execute_reply": "2024-02-08T05:21:32.518685Z" } }, "outputs": [ @@ -770,10 +770,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:01.516381Z", - "iopub.status.busy": "2024-02-08T04:35:01.516208Z", - "iopub.status.idle": "2024-02-08T04:35:01.562095Z", - "shell.execute_reply": "2024-02-08T04:35:01.561636Z" + "iopub.execute_input": "2024-02-08T05:21:32.521281Z", + "iopub.status.busy": "2024-02-08T05:21:32.521095Z", + "iopub.status.idle": "2024-02-08T05:21:32.670893Z", + "shell.execute_reply": "2024-02-08T05:21:32.670418Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/text.ipynb b/master/.doctrees/nbsphinx/tutorials/text.ipynb index d24d88255..e6bc10dc9 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": "2024-02-08T04:35:04.398007Z", - "iopub.status.busy": "2024-02-08T04:35:04.397665Z", - "iopub.status.idle": "2024-02-08T04:35:06.939373Z", - "shell.execute_reply": "2024-02-08T04:35:06.938787Z" + "iopub.execute_input": "2024-02-08T05:21:36.479014Z", + "iopub.status.busy": "2024-02-08T05:21:36.478839Z", + "iopub.status.idle": "2024-02-08T05:21:39.260693Z", + "shell.execute_reply": "2024-02-08T05:21:39.260048Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:35:06.942203Z", - "iopub.status.busy": "2024-02-08T04:35:06.941711Z", - "iopub.status.idle": "2024-02-08T04:35:06.945187Z", - "shell.execute_reply": "2024-02-08T04:35:06.944736Z" + "iopub.execute_input": "2024-02-08T05:21:39.263272Z", + "iopub.status.busy": "2024-02-08T05:21:39.262890Z", + "iopub.status.idle": "2024-02-08T05:21:39.266644Z", + "shell.execute_reply": "2024-02-08T05:21:39.266095Z" } }, "outputs": [], @@ -184,10 +184,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:06.947082Z", - "iopub.status.busy": "2024-02-08T04:35:06.946758Z", - "iopub.status.idle": "2024-02-08T04:35:06.949800Z", - "shell.execute_reply": "2024-02-08T04:35:06.949361Z" + "iopub.execute_input": "2024-02-08T05:21:39.268836Z", + "iopub.status.busy": "2024-02-08T05:21:39.268440Z", + "iopub.status.idle": "2024-02-08T05:21:39.271716Z", + "shell.execute_reply": "2024-02-08T05:21:39.271145Z" }, "nbsphinx": "hidden" }, @@ -218,10 +218,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:06.951625Z", - "iopub.status.busy": "2024-02-08T04:35:06.951369Z", - "iopub.status.idle": "2024-02-08T04:35:06.997911Z", - "shell.execute_reply": "2024-02-08T04:35:06.997500Z" + "iopub.execute_input": "2024-02-08T05:21:39.273756Z", + "iopub.status.busy": "2024-02-08T05:21:39.273496Z", + "iopub.status.idle": "2024-02-08T05:21:39.431458Z", + "shell.execute_reply": "2024-02-08T05:21:39.430885Z" } }, "outputs": [ @@ -311,10 +311,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:06.999896Z", - "iopub.status.busy": "2024-02-08T04:35:06.999613Z", - "iopub.status.idle": "2024-02-08T04:35:07.003072Z", - "shell.execute_reply": "2024-02-08T04:35:07.002534Z" + "iopub.execute_input": "2024-02-08T05:21:39.433686Z", + "iopub.status.busy": "2024-02-08T05:21:39.433349Z", + "iopub.status.idle": "2024-02-08T05:21:39.436960Z", + "shell.execute_reply": "2024-02-08T05:21:39.436501Z" } }, "outputs": [], @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:07.004956Z", - "iopub.status.busy": "2024-02-08T04:35:07.004665Z", - "iopub.status.idle": "2024-02-08T04:35:07.007970Z", - "shell.execute_reply": "2024-02-08T04:35:07.007435Z" + "iopub.execute_input": "2024-02-08T05:21:39.438986Z", + "iopub.status.busy": "2024-02-08T05:21:39.438652Z", + "iopub.status.idle": "2024-02-08T05:21:39.442126Z", + "shell.execute_reply": "2024-02-08T05:21:39.441657Z" } }, "outputs": [ @@ -341,7 +341,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'change_pin', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'cancel_transfer', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'visa_or_mastercard', 'getting_spare_card', 'card_about_to_expire'}\n" + "Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'visa_or_mastercard', 'supported_cards_and_currencies', 'card_about_to_expire', 'cancel_transfer', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'change_pin', 'getting_spare_card'}\n" ] } ], @@ -364,10 +364,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:07.009913Z", - "iopub.status.busy": "2024-02-08T04:35:07.009601Z", - "iopub.status.idle": "2024-02-08T04:35:07.012666Z", - "shell.execute_reply": "2024-02-08T04:35:07.012208Z" + "iopub.execute_input": "2024-02-08T05:21:39.444139Z", + "iopub.status.busy": "2024-02-08T05:21:39.443815Z", + "iopub.status.idle": "2024-02-08T05:21:39.446990Z", + "shell.execute_reply": "2024-02-08T05:21:39.446538Z" } }, "outputs": [ @@ -408,10 +408,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:07.014589Z", - "iopub.status.busy": "2024-02-08T04:35:07.014274Z", - "iopub.status.idle": "2024-02-08T04:35:07.017484Z", - "shell.execute_reply": "2024-02-08T04:35:07.017043Z" + "iopub.execute_input": "2024-02-08T05:21:39.449158Z", + "iopub.status.busy": "2024-02-08T05:21:39.448790Z", + "iopub.status.idle": "2024-02-08T05:21:39.452098Z", + "shell.execute_reply": "2024-02-08T05:21:39.451644Z" } }, "outputs": [], @@ -452,10 +452,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:07.019577Z", - "iopub.status.busy": "2024-02-08T04:35:07.019165Z", - "iopub.status.idle": "2024-02-08T04:35:10.758978Z", - "shell.execute_reply": "2024-02-08T04:35:10.758450Z" + "iopub.execute_input": "2024-02-08T05:21:39.454177Z", + "iopub.status.busy": "2024-02-08T05:21:39.453859Z", + "iopub.status.idle": "2024-02-08T05:21:43.818413Z", + "shell.execute_reply": "2024-02-08T05:21:43.817812Z" } }, "outputs": [ @@ -510,10 +510,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:10.761717Z", - "iopub.status.busy": "2024-02-08T04:35:10.761342Z", - "iopub.status.idle": "2024-02-08T04:35:10.764293Z", - "shell.execute_reply": "2024-02-08T04:35:10.763801Z" + "iopub.execute_input": "2024-02-08T05:21:43.821245Z", + "iopub.status.busy": "2024-02-08T05:21:43.820824Z", + "iopub.status.idle": "2024-02-08T05:21:43.824334Z", + "shell.execute_reply": "2024-02-08T05:21:43.823797Z" } }, "outputs": [], @@ -535,10 +535,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:10.766209Z", - "iopub.status.busy": "2024-02-08T04:35:10.765897Z", - "iopub.status.idle": "2024-02-08T04:35:10.768449Z", - "shell.execute_reply": "2024-02-08T04:35:10.768026Z" + "iopub.execute_input": "2024-02-08T05:21:43.826165Z", + "iopub.status.busy": "2024-02-08T05:21:43.825990Z", + "iopub.status.idle": "2024-02-08T05:21:43.828635Z", + "shell.execute_reply": "2024-02-08T05:21:43.828168Z" } }, "outputs": [], @@ -553,10 +553,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:10.770307Z", - "iopub.status.busy": "2024-02-08T04:35:10.769984Z", - "iopub.status.idle": "2024-02-08T04:35:13.014309Z", - "shell.execute_reply": "2024-02-08T04:35:13.013691Z" + "iopub.execute_input": "2024-02-08T05:21:43.830526Z", + "iopub.status.busy": "2024-02-08T05:21:43.830206Z", + "iopub.status.idle": "2024-02-08T05:21:46.180921Z", + "shell.execute_reply": "2024-02-08T05:21:46.180150Z" }, "scrolled": true }, @@ -579,10 +579,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.017176Z", - "iopub.status.busy": "2024-02-08T04:35:13.016589Z", - "iopub.status.idle": "2024-02-08T04:35:13.024329Z", - "shell.execute_reply": "2024-02-08T04:35:13.023868Z" + "iopub.execute_input": "2024-02-08T05:21:46.184093Z", + "iopub.status.busy": "2024-02-08T05:21:46.183446Z", + "iopub.status.idle": "2024-02-08T05:21:46.191352Z", + "shell.execute_reply": "2024-02-08T05:21:46.190879Z" } }, "outputs": [ @@ -683,10 +683,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.026211Z", - "iopub.status.busy": "2024-02-08T04:35:13.026031Z", - "iopub.status.idle": "2024-02-08T04:35:13.030054Z", - "shell.execute_reply": "2024-02-08T04:35:13.029615Z" + "iopub.execute_input": "2024-02-08T05:21:46.193506Z", + "iopub.status.busy": "2024-02-08T05:21:46.193111Z", + "iopub.status.idle": "2024-02-08T05:21:46.197017Z", + "shell.execute_reply": "2024-02-08T05:21:46.196578Z" } }, "outputs": [], @@ -700,10 +700,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.031935Z", - "iopub.status.busy": "2024-02-08T04:35:13.031746Z", - "iopub.status.idle": "2024-02-08T04:35:13.034748Z", - "shell.execute_reply": "2024-02-08T04:35:13.034239Z" + "iopub.execute_input": "2024-02-08T05:21:46.198840Z", + "iopub.status.busy": "2024-02-08T05:21:46.198669Z", + "iopub.status.idle": "2024-02-08T05:21:46.201986Z", + "shell.execute_reply": "2024-02-08T05:21:46.201534Z" } }, "outputs": [ @@ -738,10 +738,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.036619Z", - "iopub.status.busy": "2024-02-08T04:35:13.036448Z", - "iopub.status.idle": "2024-02-08T04:35:13.039213Z", - "shell.execute_reply": "2024-02-08T04:35:13.038788Z" + "iopub.execute_input": "2024-02-08T05:21:46.203999Z", + "iopub.status.busy": "2024-02-08T05:21:46.203703Z", + "iopub.status.idle": "2024-02-08T05:21:46.206673Z", + "shell.execute_reply": "2024-02-08T05:21:46.206231Z" } }, "outputs": [], @@ -761,10 +761,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.041004Z", - "iopub.status.busy": "2024-02-08T04:35:13.040835Z", - "iopub.status.idle": "2024-02-08T04:35:13.047467Z", - "shell.execute_reply": "2024-02-08T04:35:13.047008Z" + "iopub.execute_input": "2024-02-08T05:21:46.208666Z", + "iopub.status.busy": "2024-02-08T05:21:46.208364Z", + "iopub.status.idle": "2024-02-08T05:21:46.215877Z", + "shell.execute_reply": "2024-02-08T05:21:46.215417Z" } }, "outputs": [ @@ -889,10 +889,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.049366Z", - "iopub.status.busy": "2024-02-08T04:35:13.049196Z", - "iopub.status.idle": "2024-02-08T04:35:13.273122Z", - "shell.execute_reply": "2024-02-08T04:35:13.272656Z" + "iopub.execute_input": "2024-02-08T05:21:46.217922Z", + "iopub.status.busy": "2024-02-08T05:21:46.217631Z", + "iopub.status.idle": "2024-02-08T05:21:46.445403Z", + "shell.execute_reply": "2024-02-08T05:21:46.444769Z" }, "scrolled": true }, @@ -931,10 +931,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.275446Z", - "iopub.status.busy": "2024-02-08T04:35:13.275087Z", - "iopub.status.idle": "2024-02-08T04:35:13.485654Z", - "shell.execute_reply": "2024-02-08T04:35:13.485184Z" + "iopub.execute_input": "2024-02-08T05:21:46.447993Z", + "iopub.status.busy": "2024-02-08T05:21:46.447582Z", + "iopub.status.idle": "2024-02-08T05:21:46.623478Z", + "shell.execute_reply": "2024-02-08T05:21:46.622935Z" }, "scrolled": true }, @@ -967,10 +967,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:13.488027Z", - "iopub.status.busy": "2024-02-08T04:35:13.487654Z", - "iopub.status.idle": "2024-02-08T04:35:13.491219Z", - "shell.execute_reply": "2024-02-08T04:35:13.490753Z" + "iopub.execute_input": "2024-02-08T05:21:46.626118Z", + "iopub.status.busy": "2024-02-08T05:21:46.625719Z", + "iopub.status.idle": "2024-02-08T05:21:46.629542Z", + "shell.execute_reply": "2024-02-08T05:21:46.629055Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb index b9cc787dc..c62fcd633 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": "2024-02-08T04:35:16.410970Z", - "iopub.status.busy": "2024-02-08T04:35:16.410808Z", - "iopub.status.idle": "2024-02-08T04:35:17.885044Z", - "shell.execute_reply": "2024-02-08T04:35:17.884466Z" + "iopub.execute_input": "2024-02-08T05:21:50.726788Z", + "iopub.status.busy": "2024-02-08T05:21:50.726620Z", + "iopub.status.idle": "2024-02-08T05:21:52.600696Z", + "shell.execute_reply": "2024-02-08T05:21:52.600068Z" } }, "outputs": [ @@ -86,7 +86,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-02-08 04:35:16-- https://data.deepai.org/conll2003.zip\r\n", + "--2024-02-08 05:21:50-- https://data.deepai.org/conll2003.zip\r\n", "Resolving data.deepai.org (data.deepai.org)... " ] }, @@ -94,9 +94,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "185.93.1.250, 2400:52e0:1a00::718:1\r\n", - "Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.\r\n", - "HTTP request sent, awaiting response... 200 OK\r\n", + "143.244.50.89, 2400:52e0:1a01::954:1\r\n", + "Connecting to data.deepai.org (data.deepai.org)|143.244.50.89|:443... connected.\r\n", + "HTTP request sent, awaiting response... " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "200 OK\r\n", "Length: 982975 (960K) [application/zip]\r\n", "Saving to: ‘conll2003.zip’\r\n", "\r\n", @@ -109,9 +116,9 @@ "output_type": "stream", "text": [ "\r", - "conll2003.zip 100%[===================>] 959.94K --.-KB/s in 0.1s \r\n", + "conll2003.zip 100%[===================>] 959.94K 4.92MB/s in 0.2s \r\n", "\r\n", - "2024-02-08 04:35:16 (6.64 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", + "2024-02-08 05:21:51 (4.92 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n", "\r\n", "mkdir: cannot create directory ‘data’: File exists\r\n" ] @@ -131,9 +138,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-02-08 04:35:17-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", - "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 16.182.32.209, 52.216.241.92, 52.217.130.65, ...\r\n", - "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|16.182.32.209|:443... connected.\r\n" + "--2024-02-08 05:21:51-- https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n", + "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.109.243, 52.216.165.75, 52.216.36.145, ...\r\n", + "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.109.243|:443... " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "connected.\r\n" ] }, { @@ -160,7 +174,15 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 63%[===========> ] 10.25M 51.1MB/s " + "pred_probs.npz 1%[ ] 193.53K 925KB/s " + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\r", + "pred_probs.npz 20%[===> ] 3.38M 8.07MB/s " ] }, { @@ -168,9 +190,10 @@ "output_type": "stream", "text": [ "\r", - "pred_probs.npz 100%[===================>] 16.26M 48.1MB/s in 0.3s \r\n", + "pred_probs.npz 91%[=================> ] 14.89M 23.7MB/s \r", + "pred_probs.npz 100%[===================>] 16.26M 25.5MB/s in 0.6s \r\n", "\r\n", - "2024-02-08 04:35:17 (48.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", + "2024-02-08 05:21:52 (25.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n", "\r\n" ] } @@ -187,10 +210,10 @@ "id": "439b0305", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:17.887413Z", - "iopub.status.busy": "2024-02-08T04:35:17.887079Z", - "iopub.status.idle": "2024-02-08T04:35:18.908219Z", - "shell.execute_reply": "2024-02-08T04:35:18.907684Z" + "iopub.execute_input": "2024-02-08T05:21:52.603109Z", + "iopub.status.busy": "2024-02-08T05:21:52.602917Z", + "iopub.status.idle": "2024-02-08T05:21:53.718005Z", + "shell.execute_reply": "2024-02-08T05:21:53.717446Z" }, "nbsphinx": "hidden" }, @@ -201,7 +224,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -227,10 +250,10 @@ "id": "a1349304", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:18.910770Z", - "iopub.status.busy": "2024-02-08T04:35:18.910302Z", - "iopub.status.idle": "2024-02-08T04:35:18.913807Z", - "shell.execute_reply": "2024-02-08T04:35:18.913374Z" + "iopub.execute_input": "2024-02-08T05:21:53.720615Z", + "iopub.status.busy": "2024-02-08T05:21:53.720142Z", + "iopub.status.idle": "2024-02-08T05:21:53.723864Z", + "shell.execute_reply": "2024-02-08T05:21:53.723387Z" } }, "outputs": [], @@ -280,10 +303,10 @@ "id": "ab9d59a0", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:18.915726Z", - "iopub.status.busy": "2024-02-08T04:35:18.915411Z", - "iopub.status.idle": "2024-02-08T04:35:18.918230Z", - "shell.execute_reply": "2024-02-08T04:35:18.917797Z" + "iopub.execute_input": "2024-02-08T05:21:53.726015Z", + "iopub.status.busy": "2024-02-08T05:21:53.725691Z", + "iopub.status.idle": "2024-02-08T05:21:53.728578Z", + "shell.execute_reply": "2024-02-08T05:21:53.728151Z" }, "nbsphinx": "hidden" }, @@ -301,10 +324,10 @@ "id": "519cb80c", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:18.920142Z", - "iopub.status.busy": "2024-02-08T04:35:18.919798Z", - "iopub.status.idle": "2024-02-08T04:35:27.926989Z", - "shell.execute_reply": "2024-02-08T04:35:27.926383Z" + "iopub.execute_input": "2024-02-08T05:21:53.730588Z", + "iopub.status.busy": "2024-02-08T05:21:53.730254Z", + "iopub.status.idle": "2024-02-08T05:22:02.922587Z", + "shell.execute_reply": "2024-02-08T05:22:02.922022Z" } }, "outputs": [], @@ -378,10 +401,10 @@ "id": "202f1526", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:27.929541Z", - "iopub.status.busy": "2024-02-08T04:35:27.929340Z", - "iopub.status.idle": "2024-02-08T04:35:27.934958Z", - "shell.execute_reply": "2024-02-08T04:35:27.934409Z" + "iopub.execute_input": "2024-02-08T05:22:02.925250Z", + "iopub.status.busy": "2024-02-08T05:22:02.924929Z", + "iopub.status.idle": "2024-02-08T05:22:02.930371Z", + "shell.execute_reply": "2024-02-08T05:22:02.929886Z" }, "nbsphinx": "hidden" }, @@ -421,10 +444,10 @@ "id": "a4381f03", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:27.936904Z", - "iopub.status.busy": "2024-02-08T04:35:27.936728Z", - "iopub.status.idle": "2024-02-08T04:35:28.262039Z", - "shell.execute_reply": "2024-02-08T04:35:28.261376Z" + "iopub.execute_input": "2024-02-08T05:22:02.932624Z", + "iopub.status.busy": "2024-02-08T05:22:02.932228Z", + "iopub.status.idle": "2024-02-08T05:22:03.297995Z", + "shell.execute_reply": "2024-02-08T05:22:03.297346Z" } }, "outputs": [], @@ -461,10 +484,10 @@ "id": "7842e4a3", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:28.264636Z", - "iopub.status.busy": "2024-02-08T04:35:28.264297Z", - "iopub.status.idle": "2024-02-08T04:35:28.268345Z", - "shell.execute_reply": "2024-02-08T04:35:28.267788Z" + "iopub.execute_input": "2024-02-08T05:22:03.300463Z", + "iopub.status.busy": "2024-02-08T05:22:03.300279Z", + "iopub.status.idle": "2024-02-08T05:22:03.304705Z", + "shell.execute_reply": "2024-02-08T05:22:03.304158Z" } }, "outputs": [ @@ -536,10 +559,10 @@ "id": "2c2ad9ad", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:28.270309Z", - "iopub.status.busy": "2024-02-08T04:35:28.270030Z", - "iopub.status.idle": "2024-02-08T04:35:30.566284Z", - "shell.execute_reply": "2024-02-08T04:35:30.565622Z" + "iopub.execute_input": "2024-02-08T05:22:03.306754Z", + "iopub.status.busy": "2024-02-08T05:22:03.306423Z", + "iopub.status.idle": "2024-02-08T05:22:05.755355Z", + "shell.execute_reply": "2024-02-08T05:22:05.754674Z" } }, "outputs": [], @@ -561,10 +584,10 @@ "id": "95dc7268", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:30.569402Z", - "iopub.status.busy": "2024-02-08T04:35:30.568623Z", - "iopub.status.idle": "2024-02-08T04:35:30.572686Z", - "shell.execute_reply": "2024-02-08T04:35:30.572133Z" + "iopub.execute_input": "2024-02-08T05:22:05.758476Z", + "iopub.status.busy": "2024-02-08T05:22:05.757736Z", + "iopub.status.idle": "2024-02-08T05:22:05.761956Z", + "shell.execute_reply": "2024-02-08T05:22:05.761494Z" } }, "outputs": [ @@ -600,10 +623,10 @@ "id": "e13de188", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:30.574726Z", - "iopub.status.busy": "2024-02-08T04:35:30.574428Z", - "iopub.status.idle": "2024-02-08T04:35:30.579908Z", - "shell.execute_reply": "2024-02-08T04:35:30.579362Z" + "iopub.execute_input": "2024-02-08T05:22:05.764107Z", + "iopub.status.busy": "2024-02-08T05:22:05.763785Z", + "iopub.status.idle": "2024-02-08T05:22:05.768721Z", + "shell.execute_reply": "2024-02-08T05:22:05.768190Z" } }, "outputs": [ @@ -781,10 +804,10 @@ "id": "e4a006bd", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:30.581974Z", - "iopub.status.busy": "2024-02-08T04:35:30.581604Z", - "iopub.status.idle": "2024-02-08T04:35:30.607040Z", - "shell.execute_reply": "2024-02-08T04:35:30.606608Z" + "iopub.execute_input": "2024-02-08T05:22:05.770716Z", + "iopub.status.busy": "2024-02-08T05:22:05.770545Z", + "iopub.status.idle": "2024-02-08T05:22:05.796512Z", + "shell.execute_reply": "2024-02-08T05:22:05.795932Z" } }, "outputs": [ @@ -886,10 +909,10 @@ "id": "c8f4e163", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:30.609082Z", - "iopub.status.busy": "2024-02-08T04:35:30.608778Z", - "iopub.status.idle": "2024-02-08T04:35:30.612868Z", - "shell.execute_reply": "2024-02-08T04:35:30.612332Z" + "iopub.execute_input": "2024-02-08T05:22:05.798717Z", + "iopub.status.busy": "2024-02-08T05:22:05.798431Z", + "iopub.status.idle": "2024-02-08T05:22:05.803963Z", + "shell.execute_reply": "2024-02-08T05:22:05.803248Z" } }, "outputs": [ @@ -963,10 +986,10 @@ "id": "db0b5179", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:30.614887Z", - "iopub.status.busy": "2024-02-08T04:35:30.614588Z", - "iopub.status.idle": "2024-02-08T04:35:32.021894Z", - "shell.execute_reply": "2024-02-08T04:35:32.021397Z" + "iopub.execute_input": "2024-02-08T05:22:05.805972Z", + "iopub.status.busy": "2024-02-08T05:22:05.805666Z", + "iopub.status.idle": "2024-02-08T05:22:07.269804Z", + "shell.execute_reply": "2024-02-08T05:22:07.269179Z" } }, "outputs": [ @@ -1138,10 +1161,10 @@ "id": "a18795eb", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:35:32.024066Z", - "iopub.status.busy": "2024-02-08T04:35:32.023695Z", - "iopub.status.idle": "2024-02-08T04:35:32.027757Z", - "shell.execute_reply": "2024-02-08T04:35:32.027319Z" + "iopub.execute_input": "2024-02-08T05:22:07.272129Z", + "iopub.status.busy": "2024-02-08T05:22:07.271782Z", + "iopub.status.idle": "2024-02-08T05:22:07.276036Z", + "shell.execute_reply": "2024-02-08T05:22:07.275437Z" }, "nbsphinx": "hidden" }, diff --git a/master/.doctrees/tutorials/audio.doctree b/master/.doctrees/tutorials/audio.doctree index 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    • "class_imbalance": [], "null": ["features"], } -_REGRESSION_ARGS_DICT = {"label": ["features", "predictions"]} +_REGRESSION_ARGS_DICT = { + "label": ["features", "predictions"], + "outlier": ["features", "knn_graph"], + "near_duplicate": ["features", "knn_graph"], + "non_iid": ["features", "knn_graph"], + "null": ["features"], +} _MULTILABEL_ARGS_DICT = { "label": ["pred_probs"], + "outlier": ["features", "knn_graph"], + "near_duplicate": ["features", "knn_graph"], + "non_iid": ["features", "knn_graph"], + "null": ["features"], } @@ -655,9 +665,13 @@

    Source code for cleanlab.datalab.internal.issue_finder

    args_dict = { k: {k2: v2 for k2, v2 in v.items() if v2 is not None} for k, v in args_dict.items() - if v or k == "label" or keep_empty_argument(k) # Allow label issues to require no arguments + if v or keep_empty_argument(k) } + # Only keep issue types that have at least one argument + # or those that require no arguments. + args_dict = {k: v for k, v in args_dict.items() if (v or keep_empty_argument(k))} + return args_dict @@ -679,6 +693,10 @@

    Source code for cleanlab.datalab.internal.issue_finder

    if v or keep_empty_argument(k) # Allow label issues to require no arguments } + # Only keep issue types that have at least one argument + # or those that require no arguments. + args_dict = {k: v for k, v in args_dict.items() if (v or keep_empty_argument(k))} + return args_dict @@ -938,6 +956,7 @@

    Source code for cleanlab.datalab.internal.issue_finder

    if model_output is not None: # A basic trick to assign the model output to the correct argument + # E.g. Datalab accepts only `pred_probs`, but those are assigned to the `predictions` argument for regression-related issue_managers kwargs.update({model_output.argument: model_output.collect()}) # Determine which parameters are required for each issue type @@ -964,7 +983,11 @@

    Source code for cleanlab.datalab.internal.issue_finder

    warnings.warn("No labels were provided. " "The 'label' issue type will not be run.") issue_types_copy.pop("label") - outlier_check_needs_features = "outlier" in issue_types_copy and not self.datalab.has_labels + outlier_check_needs_features = ( + self.task == "classification" + and "outlier" in issue_types_copy + and not self.datalab.has_labels + ) if outlier_check_needs_features: no_features = features is None no_knn_graph = knn_graph is None diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html index 9e89bce07..f5b422638 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html @@ -726,14 +726,14 @@

    Source code for cleanlab.datalab.internal.issue_manager.noniid

    """ if features is None and pred_probs is not None: self._skip_storing_knn_graph_for_pred_probs = True + + if knn_graph is not None and not metric_changes: + return None features_to_use = self._determine_features(features, pred_probs) if self.metric is None: self.metric = "cosine" if features_to_use.shape[1] > 3 else "euclidean" - if knn_graph is not None and not metric_changes: - return None - knn = NearestNeighbors(n_neighbors=self.k, metric=self.metric) if self.metric != knn.metric: diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager_factory.html b/master/_modules/cleanlab/datalab/internal/issue_manager_factory.html index 47b917162..debe5ff0e 100644 --- a/master/_modules/cleanlab/datalab/internal/issue_manager_factory.html +++ b/master/_modules/cleanlab/datalab/internal/issue_manager_factory.html @@ -597,8 +597,20 @@

    Source code for cleanlab.datalab.internal.issue_manager_factory

    "data_valuation": DataValuationIssueManager, "null": NullIssueManager, }, - "regression": {"label": RegressionLabelIssueManager}, - "multilabel": {"label": MultilabelIssueManager}, + "regression": { + "label": RegressionLabelIssueManager, + "outlier": OutlierIssueManager, + "near_duplicate": NearDuplicateIssueManager, + "non_iid": NonIIDIssueManager, + "null": NullIssueManager, + }, + "multilabel": { + "label": MultilabelIssueManager, + "outlier": OutlierIssueManager, + "near_duplicate": NearDuplicateIssueManager, + "non_iid": NonIIDIssueManager, + "null": NullIssueManager, + }, } """Registry of issue managers that can be constructed from a string and used in the Datalab class. @@ -741,8 +753,20 @@

    Source code for cleanlab.datalab.internal.issue_manager_factory

    "non_iid", "class_imbalance", ], - "regression": ["label"], - "multilabel": ["label"], + "regression": [ + "null", + "label", + "outlier", + "near_duplicate", + "non_iid", + ], + "multilabel": [ + "null", + "label", + "outlier", + "near_duplicate", + "non_iid", + ], } if task not in default_issue_types_dict: task = "classification" diff --git a/master/_sources/tutorials/audio.ipynb b/master/_sources/tutorials/audio.ipynb index b9108c63a..0347ebe64 100644 --- a/master/_sources/tutorials/audio.ipynb +++ b/master/_sources/tutorials/audio.ipynb @@ -91,7 +91,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_advanced.ipynb b/master/_sources/tutorials/datalab/datalab_advanced.ipynb index 82e264190..bc4ecad4f 100644 --- a/master/_sources/tutorials/datalab/datalab_advanced.ipynb +++ b/master/_sources/tutorials/datalab/datalab_advanced.ipynb @@ -87,7 +87,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb index 7093706d7..e939b997d 100644 --- a/master/_sources/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/_sources/tutorials/datalab/datalab_quickstart.ipynb @@ -85,7 +85,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/tabular.ipynb b/master/_sources/tutorials/datalab/tabular.ipynb index e881d022e..25369df12 100644 --- a/master/_sources/tutorials/datalab/tabular.ipynb +++ b/master/_sources/tutorials/datalab/tabular.ipynb @@ -81,7 +81,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/datalab/text.ipynb b/master/_sources/tutorials/datalab/text.ipynb index d206dd99d..ab30df3c0 100644 --- a/master/_sources/tutorials/datalab/text.ipynb +++ b/master/_sources/tutorials/datalab/text.ipynb @@ -90,7 +90,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/dataset_health.ipynb b/master/_sources/tutorials/dataset_health.ipynb index acd57bf48..845881f51 100644 --- a/master/_sources/tutorials/dataset_health.ipynb +++ b/master/_sources/tutorials/dataset_health.ipynb @@ -77,7 +77,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/indepth_overview.ipynb b/master/_sources/tutorials/indepth_overview.ipynb index 935593655..73fb0146e 100644 --- a/master/_sources/tutorials/indepth_overview.ipynb +++ b/master/_sources/tutorials/indepth_overview.ipynb @@ -62,7 +62,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multiannotator.ipynb b/master/_sources/tutorials/multiannotator.ipynb index 1b012620e..2170b7fb8 100644 --- a/master/_sources/tutorials/multiannotator.ipynb +++ b/master/_sources/tutorials/multiannotator.ipynb @@ -96,7 +96,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/multilabel_classification.ipynb b/master/_sources/tutorials/multilabel_classification.ipynb index 1bfb268aa..96773272f 100644 --- a/master/_sources/tutorials/multilabel_classification.ipynb +++ b/master/_sources/tutorials/multilabel_classification.ipynb @@ -73,7 +73,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/object_detection.ipynb b/master/_sources/tutorials/object_detection.ipynb index e5a868fb3..236ad0508 100644 --- a/master/_sources/tutorials/object_detection.ipynb +++ b/master/_sources/tutorials/object_detection.ipynb @@ -77,7 +77,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/outliers.ipynb b/master/_sources/tutorials/outliers.ipynb index c3884c797..a8b57cfe7 100644 --- a/master/_sources/tutorials/outliers.ipynb +++ b/master/_sources/tutorials/outliers.ipynb @@ -119,7 +119,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/regression.ipynb b/master/_sources/tutorials/regression.ipynb index 8c851e7f1..49754aa89 100644 --- a/master/_sources/tutorials/regression.ipynb +++ b/master/_sources/tutorials/regression.ipynb @@ -103,7 +103,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", diff --git a/master/_sources/tutorials/segmentation.ipynb b/master/_sources/tutorials/segmentation.ipynb index 6597dcf0b..526d0895d 100644 --- a/master/_sources/tutorials/segmentation.ipynb +++ b/master/_sources/tutorials/segmentation.ipynb @@ -91,7 +91,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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 a93fd7cd5..3aa099444 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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", 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Use cleanlab to find issues in your dataset": [[79, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[79, "Non-IID-issues-(data-drift)"]], "Find Dataset-level Issues for Dataset Curation": [[80, "Find-Dataset-level-Issues-for-Dataset-Curation"]], "Install dependencies and import them": [[80, "Install-dependencies-and-import-them"], [83, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[80, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[80, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[81, "FAQ"]], "What data can cleanlab detect issues in?": [[81, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[81, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[81, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[81, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[81, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[81, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[81, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[81, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[81, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[81, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[81, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[81, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[81, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[81, "Can't-find-an-answer-to-your-question?"]], "Image Classification with PyTorch and Cleanlab": [[82, "Image-Classification-with-PyTorch-and-Cleanlab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[82, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[82, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[82, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[82, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[82, "7.-Use-cleanlab-to-find-issues"]], "View report": [[82, "View-report"]], "View most likely examples with label errors": [[82, "View-most-likely-examples-with-label-errors"]], "View most severe outliers": [[82, "View-most-severe-outliers"]], "View sets of near duplicate images": [[82, "View-sets-of-near-duplicate-images"]], "Dark images": [[82, "Dark-images"]], "View top examples of dark images": [[82, "View-top-examples-of-dark-images"]], "Low information images": [[82, "Low-information-images"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[83, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[83, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[83, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[83, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[83, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[83, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[83, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[83, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[83, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[83, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[83, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[83, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[83, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[83, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[83, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[83, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[83, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[83, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[83, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[83, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[83, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[83, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[84, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[85, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[85, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[85, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[85, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[85, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[85, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[85, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[85, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[85, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[86, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[86, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[86, "2.-Format-data,-labels,-and-model-predictions"], [87, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[86, "3.-Use-cleanlab-to-find-label-issues"], [87, "3.-Use-cleanlab-to-find-label-issues"], [91, "3.-Use-cleanlab-to-find-label-issues"], [94, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[86, "Label-quality-scores"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[86, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Finding Label Errors in Object Detection Datasets": [[87, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[87, "1.-Install-required-dependencies-and-download-data"], [91, "1.-Install-required-dependencies-and-download-data"], [94, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[87, "Get-label-quality-scores"], [91, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[87, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[87, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[87, "Other-uses-of-visualize"]], "Exploratory data analysys": [[87, "Exploratory-data-analysys"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[88, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[88, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[88, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[88, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[88, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[88, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[89, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[89, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[89, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[90, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[90, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[90, "4.-Train-a-more-robust-model-from-noisy-labels"], [93, "4.-Train-a-more-robust-model-from-noisy-labels"]], "5. Other ways to find noisy labels in regression datasets": [[90, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[91, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[91, "2.-Get-data,-labels,-and-pred_probs"], [94, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[91, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[91, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[91, "Focusing-on-one-specific-class"]], "Classification with Tabular Data using Scikit-Learn and Cleanlab": [[92, "Classification-with-Tabular-Data-using-Scikit-Learn-and-Cleanlab"]], "4. Use cleanlab to find label issues": [[92, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[92, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[93, "Text-Classification-with-Noisy-Labels"]], "3. Define a classification model and use cleanlab to find potential label errors": [[93, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "Find Label Errors in Token Classification (Text) Datasets": [[94, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[94, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[94, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[94, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[94, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": [[0, "module-cleanlab.benchmarking"], [1, "module-cleanlab.benchmarking.noise_generation"], [2, "module-cleanlab.classification"], [3, "module-cleanlab.count"], [4, "module-cleanlab.datalab.datalab"], [9, 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"cleanlab.datalab.internal.data.DatasetDictError.add_note"]], "add_note() (cleanlab.datalab.internal.data.datasetloaderror method)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.add_note"]], "args (cleanlab.datalab.internal.data.dataformaterror attribute)": [[10, "cleanlab.datalab.internal.data.DataFormatError.args"]], "args (cleanlab.datalab.internal.data.datasetdicterror attribute)": [[10, "cleanlab.datalab.internal.data.DatasetDictError.args"]], "args (cleanlab.datalab.internal.data.datasetloaderror attribute)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.args"]], "class_names (cleanlab.datalab.internal.data.data property)": [[10, "cleanlab.datalab.internal.data.Data.class_names"]], "class_names (cleanlab.datalab.internal.data.label property)": [[10, "cleanlab.datalab.internal.data.Label.class_names"]], "class_names (cleanlab.datalab.internal.data.multiclass property)": [[10, "cleanlab.datalab.internal.data.MultiClass.class_names"]], "class_names (cleanlab.datalab.internal.data.multilabel property)": [[10, "cleanlab.datalab.internal.data.MultiLabel.class_names"]], "cleanlab.datalab.internal.data": [[10, "module-cleanlab.datalab.internal.data"]], "has_labels (cleanlab.datalab.internal.data.data property)": [[10, "cleanlab.datalab.internal.data.Data.has_labels"]], "is_available (cleanlab.datalab.internal.data.label property)": [[10, "cleanlab.datalab.internal.data.Label.is_available"]], "is_available (cleanlab.datalab.internal.data.multiclass property)": [[10, "cleanlab.datalab.internal.data.MultiClass.is_available"]], "is_available (cleanlab.datalab.internal.data.multilabel property)": [[10, "cleanlab.datalab.internal.data.MultiLabel.is_available"]], "with_traceback() (cleanlab.datalab.internal.data.dataformaterror method)": [[10, "cleanlab.datalab.internal.data.DataFormatError.with_traceback"]], "with_traceback() (cleanlab.datalab.internal.data.datasetdicterror method)": [[10, "cleanlab.datalab.internal.data.DatasetDictError.with_traceback"]], "with_traceback() (cleanlab.datalab.internal.data.datasetloaderror method)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.with_traceback"]], "dataissues (class in cleanlab.datalab.internal.data_issues)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues"]], "cleanlab.datalab.internal.data_issues": [[11, "module-cleanlab.datalab.internal.data_issues"]], "collect_issues_from_imagelab() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_issues_from_imagelab"]], "collect_issues_from_issue_manager() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_issues_from_issue_manager"]], "collect_statistics() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_statistics"]], "get_data_statistics() (in 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"set_health_score() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.set_health_score"]], "statistics (cleanlab.datalab.internal.data_issues.dataissues property)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.statistics"]], "registry (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.REGISTRY"]], "cleanlab.datalab.internal.issue_manager_factory": [[12, "module-cleanlab.datalab.internal.issue_manager_factory"]], "list_default_issue_types() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.list_default_issue_types"]], "list_possible_issue_types() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.list_possible_issue_types"]], "register() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.register"]], "cleanlab.datalab.internal": [[13, "module-cleanlab.datalab.internal"]], "issuefinder (class in cleanlab.datalab.internal.issue_finder)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder"]], "cleanlab.datalab.internal.issue_finder": [[14, "module-cleanlab.datalab.internal.issue_finder"]], "find_issues() (cleanlab.datalab.internal.issue_finder.issuefinder method)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder.find_issues"]], "get_available_issue_types() (cleanlab.datalab.internal.issue_finder.issuefinder method)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder.get_available_issue_types"]], "default_threshold (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.DEFAULT_THRESHOLD"]], "datavaluationissuemanager (class in cleanlab.datalab.internal.issue_manager.data_valuation)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager"]], "cleanlab.datalab.internal.issue_manager.data_valuation": [[16, "module-cleanlab.datalab.internal.issue_manager.data_valuation"]], "collect_info() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager class method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager class method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.verbosity_levels"]], "nearduplicateissuemanager (class in cleanlab.datalab.internal.issue_manager.duplicate)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager"]], "cleanlab.datalab.internal.issue_manager.duplicate": [[17, "module-cleanlab.datalab.internal.issue_manager.duplicate"]], "collect_info() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager class method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.make_summary"]], "near_duplicate_sets (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.near_duplicate_sets"]], "report() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager class method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.verbosity_levels"]], "classimbalanceissuemanager (class in cleanlab.datalab.internal.issue_manager.imbalance)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager"]], "cleanlab.datalab.internal.issue_manager.imbalance": [[18, "module-cleanlab.datalab.internal.issue_manager.imbalance"]], "collect_info() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager class method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager class method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.verbosity_levels"]], "issuemanager (class in cleanlab.datalab.internal.issue_manager.issue_manager)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager"]], "cleanlab.datalab.internal.issue_manager.issue_manager": [[20, "module-cleanlab.datalab.internal.issue_manager.issue_manager"]], "collect_info() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager class method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager class method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.verbosity_levels"]], "labelissuemanager (class in cleanlab.datalab.internal.issue_manager.label)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager"]], "cleanlab.datalab.internal.issue_manager.label": [[21, "module-cleanlab.datalab.internal.issue_manager.label"]], "collect_info() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.find_issues"]], "get_health_summary() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.get_health_summary"]], "health_summary_parameters (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.health_summary_parameters"]], "info (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager class method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager class method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.verbosity_levels"]], "noniidissuemanager (class in cleanlab.datalab.internal.issue_manager.noniid)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager"]], "cleanlab.datalab.internal.issue_manager.noniid": [[22, "module-cleanlab.datalab.internal.issue_manager.noniid"]], "collect_info() (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager method)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager attribute)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager method)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager attribute)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager attribute)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager attribute)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager attribute)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager class method)": [[22, "cleanlab.datalab.internal.issue_manager.noniid.NonIIDIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.noniid.noniidissuemanager class method)": [[22, 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Learn more about the issues in your dataset": [[76, "5.-Learn-more-about-the-issues-in-your-dataset"]], "Get additional information": [[76, "Get-additional-information"]], "Near duplicate issues": [[76, "Near-duplicate-issues"], [82, "Near-duplicate-issues"]], "Datalab Tutorials": [[77, "datalab-tutorials"]], "Detecting Issues in Tabular Data\u00a0(Numeric/Categorical columns) with Datalab": [[78, "Detecting-Issues-in-Tabular-Data\u00a0(Numeric/Categorical-columns)-with-Datalab"]], "1. Install required dependencies": [[78, "1.-Install-required-dependencies"], [79, "1.-Install-required-dependencies"], [90, "1.-Install-required-dependencies"], [92, "1.-Install-required-dependencies"], [93, "1.-Install-required-dependencies"]], "2. Load and process the data": [[78, "2.-Load-and-process-the-data"], [90, "2.-Load-and-process-the-data"], [92, "2.-Load-and-process-the-data"]], "3. Select a classification model and compute out-of-sample predicted probabilities": [[78, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"], [92, "3.-Select-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Construct K nearest neighbours graph": [[78, "4.-Construct-K-nearest-neighbours-graph"]], "Label issues": [[78, "Label-issues"], [79, "Label-issues"], [82, "Label-issues"]], "Outlier issues": [[78, "Outlier-issues"], [79, "Outlier-issues"], [82, "Outlier-issues"]], "Near-duplicate issues": [[78, "Near-duplicate-issues"], [79, "Near-duplicate-issues"]], "Detecting Issues in a Text Dataset with Datalab": [[79, "Detecting-Issues-in-a-Text-Dataset-with-Datalab"]], "2. Load and format the text dataset": [[79, "2.-Load-and-format-the-text-dataset"], [93, "2.-Load-and-format-the-text-dataset"]], "3. Define a classification model and compute out-of-sample predicted probabilities": [[79, "3.-Define-a-classification-model-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to find issues in your dataset": [[79, "4.-Use-cleanlab-to-find-issues-in-your-dataset"]], "Non-IID issues (data drift)": [[79, "Non-IID-issues-(data-drift)"]], "Find Dataset-level Issues for Dataset Curation": [[80, "Find-Dataset-level-Issues-for-Dataset-Curation"]], "Install dependencies and import them": [[80, "Install-dependencies-and-import-them"], [83, "Install-dependencies-and-import-them"]], "Fetch the data (can skip these details)": [[80, "Fetch-the-data-(can-skip-these-details)"]], "Start of tutorial: Evaluate the health of 8 popular datasets": [[80, "Start-of-tutorial:-Evaluate-the-health-of-8-popular-datasets"]], "FAQ": [[81, "FAQ"]], "What data can cleanlab detect issues in?": [[81, "What-data-can-cleanlab-detect-issues-in?"]], "How do I format classification labels for cleanlab?": [[81, "How-do-I-format-classification-labels-for-cleanlab?"]], "How do I infer the correct labels for examples cleanlab has flagged?": [[81, "How-do-I-infer-the-correct-labels-for-examples-cleanlab-has-flagged?"]], "How should I handle label errors in train vs. test data?": [[81, "How-should-I-handle-label-errors-in-train-vs.-test-data?"]], "How can I find label issues in big datasets with limited memory?": [[81, "How-can-I-find-label-issues-in-big-datasets-with-limited-memory?"]], "Why isn\u2019t CleanLearning working for me?": [[81, "Why-isn\u2019t-CleanLearning-working-for-me?"]], "How can I use different models for data cleaning vs. final training in CleanLearning?": [[81, "How-can-I-use-different-models-for-data-cleaning-vs.-final-training-in-CleanLearning?"]], "How do I hyperparameter tune only the final model trained (and not the one finding label issues) in CleanLearning?": [[81, "How-do-I-hyperparameter-tune-only-the-final-model-trained-(and-not-the-one-finding-label-issues)-in-CleanLearning?"]], "Why does regression.learn.CleanLearning take so long?": [[81, "Why-does-regression.learn.CleanLearning-take-so-long?"]], "How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?": [[81, "How-do-I-specify-pre-computed-data-slices/clusters-when-detecting-the-Underperforming-Group-Issue?"]], "How to handle near-duplicate data identified by cleanlab?": [[81, "How-to-handle-near-duplicate-data-identified-by-cleanlab?"]], "What ML models should I run cleanlab with? How do I fix the issues cleanlab has identified?": [[81, "What-ML-models-should-I-run-cleanlab-with?-How-do-I-fix-the-issues-cleanlab-has-identified?"]], "What license is cleanlab open-sourced under?": [[81, "What-license-is-cleanlab-open-sourced-under?"]], "Can\u2019t find an answer to your question?": [[81, "Can't-find-an-answer-to-your-question?"]], "Image Classification with PyTorch and Cleanlab": [[82, "Image-Classification-with-PyTorch-and-Cleanlab"]], "2. Fetch and normalize the Fashion-MNIST dataset": [[82, "2.-Fetch-and-normalize-the-Fashion-MNIST-dataset"]], "3. Define a classification model": [[82, "3.-Define-a-classification-model"]], "4. Prepare the dataset for K-fold cross-validation": [[82, "4.-Prepare-the-dataset-for-K-fold-cross-validation"]], "5. Compute out-of-sample predicted probabilities and feature embeddings": [[82, "5.-Compute-out-of-sample-predicted-probabilities-and-feature-embeddings"]], "7. Use cleanlab to find issues": [[82, "7.-Use-cleanlab-to-find-issues"]], "View report": [[82, "View-report"]], "View most likely examples with label errors": [[82, "View-most-likely-examples-with-label-errors"]], "View most severe outliers": [[82, "View-most-severe-outliers"]], "View sets of near duplicate images": [[82, "View-sets-of-near-duplicate-images"]], "Dark images": [[82, "Dark-images"]], "View top examples of dark images": [[82, "View-top-examples-of-dark-images"]], "Low information images": [[82, "Low-information-images"]], "The Workflows of Data-centric AI for Classification with Noisy Labels": [[83, "The-Workflows-of-Data-centric-AI-for-Classification-with-Noisy-Labels"]], "Create the data (can skip these details)": [[83, "Create-the-data-(can-skip-these-details)"]], "Workflow 1: Use Datalab to detect many types of issues": [[83, "Workflow-1:-Use-Datalab-to-detect-many-types-of-issues"]], "Workflow 2: Use CleanLearning for more robust Machine Learning": [[83, "Workflow-2:-Use-CleanLearning-for-more-robust-Machine-Learning"]], "Clean Learning = Machine Learning with cleaned data": [[83, "Clean-Learning-=-Machine-Learning-with-cleaned-data"]], "Workflow 3: Use CleanLearning to find_label_issues in one line of code": [[83, "Workflow-3:-Use-CleanLearning-to-find_label_issues-in-one-line-of-code"]], "Visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[83, "Visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 4: Use cleanlab to find dataset-level and class-level issues": [[83, "Workflow-4:-Use-cleanlab-to-find-dataset-level-and-class-level-issues"]], "Now, let\u2019s see what happens if we merge classes \u201cseafoam green\u201d and \u201cyellow\u201d": [[83, "Now,-let's-see-what-happens-if-we-merge-classes-%22seafoam-green%22-and-%22yellow%22"]], "Workflow 5: Clean your test set too if you\u2019re doing ML with noisy labels!": [[83, "Workflow-5:-Clean-your-test-set-too-if-you're-doing-ML-with-noisy-labels!"]], "Workflow 6: One score to rule them all \u2013 use cleanlab\u2019s overall dataset health score": [[83, "Workflow-6:-One-score-to-rule-them-all----use-cleanlab's-overall-dataset-health-score"]], "How accurate is this dataset health score?": [[83, "How-accurate-is-this-dataset-health-score?"]], "Workflow(s) 7: Use count, rank, filter modules directly": [[83, "Workflow(s)-7:-Use-count,-rank,-filter-modules-directly"]], "Workflow 7.1 (count): Fully characterize label noise (noise matrix, joint, prior of true labels, \u2026)": [[83, "Workflow-7.1-(count):-Fully-characterize-label-noise-(noise-matrix,-joint,-prior-of-true-labels,-...)"]], "Use cleanlab to estimate and visualize the joint distribution of label noise and noise matrix of label flipping rates:": [[83, "Use-cleanlab-to-estimate-and-visualize-the-joint-distribution-of-label-noise-and-noise-matrix-of-label-flipping-rates:"]], "Workflow 7.2 (filter): Find label issues for any dataset and any model in one line of code": [[83, "Workflow-7.2-(filter):-Find-label-issues-for-any-dataset-and-any-model-in-one-line-of-code"]], "Again, we can visualize the twenty examples with lowest label quality to see if Cleanlab works.": [[83, "Again,-we-can-visualize-the-twenty-examples-with-lowest-label-quality-to-see-if-Cleanlab-works."]], "Workflow 7.2 supports lots of methods to find_label_issues() via the filter_by parameter.": [[83, "Workflow-7.2-supports-lots-of-methods-to-find_label_issues()-via-the-filter_by-parameter."]], "Workflow 7.3 (rank): Automatically rank every example by a unique label quality score. Find errors using cleanlab.count.num_label_issues as a threshold.": [[83, "Workflow-7.3-(rank):-Automatically-rank-every-example-by-a-unique-label-quality-score.-Find-errors-using-cleanlab.count.num_label_issues-as-a-threshold."]], "Again, we can visualize the label issues found to see if Cleanlab works.": [[83, "Again,-we-can-visualize-the-label-issues-found-to-see-if-Cleanlab-works."]], "Not sure when to use Workflow 7.2 or 7.3 to find label issues?": [[83, "Not-sure-when-to-use-Workflow-7.2-or-7.3-to-find-label-issues?"]], "Workflow 8: Ensembling label quality scores from multiple predictors": [[83, "Workflow-8:-Ensembling-label-quality-scores-from-multiple-predictors"]], "Tutorials": [[84, "tutorials"]], "Estimate Consensus and Annotator Quality for Data Labeled by Multiple Annotators": [[85, "Estimate-Consensus-and-Annotator-Quality-for-Data-Labeled-by-Multiple-Annotators"]], "2. Create the data (can skip these details)": [[85, "2.-Create-the-data-(can-skip-these-details)"]], "3. Get initial consensus labels via majority vote and compute out-of-sample predicted probabilities": [[85, "3.-Get-initial-consensus-labels-via-majority-vote-and-compute-out-of-sample-predicted-probabilities"]], "4. Use cleanlab to get better consensus labels and other statistics": [[85, "4.-Use-cleanlab-to-get-better-consensus-labels-and-other-statistics"]], "Comparing improved consensus labels": [[85, "Comparing-improved-consensus-labels"]], "Inspecting consensus quality scores to find potential consensus label errors": [[85, "Inspecting-consensus-quality-scores-to-find-potential-consensus-label-errors"]], "5. Retrain model using improved consensus labels": [[85, "5.-Retrain-model-using-improved-consensus-labels"]], "Further improvements": [[85, "Further-improvements"]], "How does cleanlab.multiannotator work?": [[85, "How-does-cleanlab.multiannotator-work?"]], "Find Label Errors in Multi-Label Classification Datasets": [[86, "Find-Label-Errors-in-Multi-Label-Classification-Datasets"]], "1. Install required dependencies and get dataset": [[86, "1.-Install-required-dependencies-and-get-dataset"]], "2. Format data, labels, and model predictions": [[86, "2.-Format-data,-labels,-and-model-predictions"], [87, "2.-Format-data,-labels,-and-model-predictions"]], "3. Use cleanlab to find label issues": [[86, "3.-Use-cleanlab-to-find-label-issues"], [87, "3.-Use-cleanlab-to-find-label-issues"], [91, "3.-Use-cleanlab-to-find-label-issues"], [94, "3.-Use-cleanlab-to-find-label-issues"]], "Label quality scores": [[86, "Label-quality-scores"]], "How to format labels given as a one-hot (multi-hot) binary matrix?": [[86, "How-to-format-labels-given-as-a-one-hot-(multi-hot)-binary-matrix?"]], "Finding Label Errors in Object Detection Datasets": [[87, "Finding-Label-Errors-in-Object-Detection-Datasets"]], "1. Install required dependencies and download data": [[87, "1.-Install-required-dependencies-and-download-data"], [91, "1.-Install-required-dependencies-and-download-data"], [94, "1.-Install-required-dependencies-and-download-data"]], "Get label quality scores": [[87, "Get-label-quality-scores"], [91, "Get-label-quality-scores"]], "4. Use ObjectLab to visualize label issues": [[87, "4.-Use-ObjectLab-to-visualize-label-issues"]], "Different kinds of label issues identified by ObjectLab": [[87, "Different-kinds-of-label-issues-identified-by-ObjectLab"]], "Other uses of visualize": [[87, "Other-uses-of-visualize"]], "Exploratory data analysys": [[87, "Exploratory-data-analysys"]], "Detect Outliers with Cleanlab and PyTorch Image Models (timm)": [[88, "Detect-Outliers-with-Cleanlab-and-PyTorch-Image-Models-(timm)"]], "1. Install the required dependencies": [[88, "1.-Install-the-required-dependencies"]], "2. Pre-process the Cifar10 dataset": [[88, "2.-Pre-process-the-Cifar10-dataset"]], "Visualize some of the training and test examples": [[88, "Visualize-some-of-the-training-and-test-examples"]], "3. Use cleanlab and feature embeddings to find outliers in the data": [[88, "3.-Use-cleanlab-and-feature-embeddings-to-find-outliers-in-the-data"]], "4. Use cleanlab and pred_probs to find outliers in the data": [[88, "4.-Use-cleanlab-and-pred_probs-to-find-outliers-in-the-data"]], "Computing Out-of-Sample Predicted Probabilities with Cross-Validation": [[89, "computing-out-of-sample-predicted-probabilities-with-cross-validation"]], "Out-of-sample predicted probabilities?": [[89, "out-of-sample-predicted-probabilities"]], "What is K-fold cross-validation?": [[89, "what-is-k-fold-cross-validation"]], "Find Noisy Labels in Regression Datasets": [[90, "Find-Noisy-Labels-in-Regression-Datasets"]], "3. Define a regression model and use cleanlab to find potential label errors": [[90, "3.-Define-a-regression-model-and-use-cleanlab-to-find-potential-label-errors"]], "4. Train a more robust model from noisy labels": [[90, "4.-Train-a-more-robust-model-from-noisy-labels"], [93, "4.-Train-a-more-robust-model-from-noisy-labels"]], "5. Other ways to find noisy labels in regression datasets": [[90, "5.-Other-ways-to-find-noisy-labels-in-regression-datasets"]], "Find Label Errors in Semantic Segmentation Datasets": [[91, "Find-Label-Errors-in-Semantic-Segmentation-Datasets"]], "2. Get data, labels, and pred_probs": [[91, "2.-Get-data,-labels,-and-pred_probs"], [94, "2.-Get-data,-labels,-and-pred_probs"]], "Visualize top label issues": [[91, "Visualize-top-label-issues"]], "Classes which are commonly mislabeled overall": [[91, "Classes-which-are-commonly-mislabeled-overall"]], "Focusing on one specific class": [[91, "Focusing-on-one-specific-class"]], "Classification with Tabular Data using Scikit-Learn and Cleanlab": [[92, "Classification-with-Tabular-Data-using-Scikit-Learn-and-Cleanlab"]], "4. Use cleanlab to find label issues": [[92, "4.-Use-cleanlab-to-find-label-issues"]], "5. Train a more robust model from noisy labels": [[92, "5.-Train-a-more-robust-model-from-noisy-labels"]], "Text Classification with Noisy Labels": [[93, "Text-Classification-with-Noisy-Labels"]], "3. Define a classification model and use cleanlab to find potential label errors": [[93, "3.-Define-a-classification-model-and-use-cleanlab-to-find-potential-label-errors"]], "Find Label Errors in Token Classification (Text) Datasets": [[94, "Find-Label-Errors-in-Token-Classification-(Text)-Datasets"]], "Most common word-level token mislabels": [[94, "Most-common-word-level-token-mislabels"]], "Find sentences containing a particular mislabeled word": [[94, "Find-sentences-containing-a-particular-mislabeled-word"]], "Sentence label quality score": [[94, "Sentence-label-quality-score"]], "How does cleanlab.token_classification work?": [[94, "How-does-cleanlab.token_classification-work?"]]}, "indexentries": {"cleanlab.benchmarking": [[0, "module-cleanlab.benchmarking"]], "module": [[0, "module-cleanlab.benchmarking"], [1, "module-cleanlab.benchmarking.noise_generation"], [2, "module-cleanlab.classification"], [3, "module-cleanlab.count"], [4, "module-cleanlab.datalab.datalab"], [9, "module-cleanlab.datalab"], [10, "module-cleanlab.datalab.internal.data"], [11, "module-cleanlab.datalab.internal.data_issues"], [12, "module-cleanlab.datalab.internal.issue_manager_factory"], [13, "module-cleanlab.datalab.internal"], [14, "module-cleanlab.datalab.internal.issue_finder"], [16, "module-cleanlab.datalab.internal.issue_manager.data_valuation"], [17, "module-cleanlab.datalab.internal.issue_manager.duplicate"], [18, "module-cleanlab.datalab.internal.issue_manager.imbalance"], [20, "module-cleanlab.datalab.internal.issue_manager.issue_manager"], [21, "module-cleanlab.datalab.internal.issue_manager.label"], [22, "module-cleanlab.datalab.internal.issue_manager.noniid"], [23, "module-cleanlab.datalab.internal.issue_manager.null"], [24, "module-cleanlab.datalab.internal.issue_manager.outlier"], [26, "module-cleanlab.datalab.internal.issue_manager.regression.label"], [27, "module-cleanlab.datalab.internal.issue_manager.underperforming_group"], [28, 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cleanlab.count)": [[3, "cleanlab.count.compute_confident_joint"]], "estimate_confident_joint_and_cv_pred_proba() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_confident_joint_and_cv_pred_proba"]], "estimate_cv_predicted_probabilities() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_cv_predicted_probabilities"]], "estimate_joint() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_joint"]], "estimate_latent() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_latent"]], "estimate_noise_matrices() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_noise_matrices"]], "estimate_py_and_noise_matrices_from_probabilities() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_py_and_noise_matrices_from_probabilities"]], "estimate_py_noise_matrices_and_cv_pred_proba() (in module cleanlab.count)": [[3, "cleanlab.count.estimate_py_noise_matrices_and_cv_pred_proba"]], "get_confident_thresholds() (in module cleanlab.count)": [[3, "cleanlab.count.get_confident_thresholds"]], "num_label_issues() (in module cleanlab.count)": [[3, "cleanlab.count.num_label_issues"]], "datalab (class in cleanlab.datalab.datalab)": [[4, "cleanlab.datalab.datalab.Datalab"]], "class_names (cleanlab.datalab.datalab.datalab property)": [[4, "cleanlab.datalab.datalab.Datalab.class_names"]], "cleanlab.datalab.datalab": [[4, "module-cleanlab.datalab.datalab"]], "find_issues() (cleanlab.datalab.datalab.datalab method)": [[4, "cleanlab.datalab.datalab.Datalab.find_issues"]], "get_info() (cleanlab.datalab.datalab.datalab method)": [[4, "cleanlab.datalab.datalab.Datalab.get_info"]], "get_issue_summary() (cleanlab.datalab.datalab.datalab method)": [[4, "cleanlab.datalab.datalab.Datalab.get_issue_summary"]], "get_issues() (cleanlab.datalab.datalab.datalab method)": [[4, "cleanlab.datalab.datalab.Datalab.get_issues"]], "has_labels (cleanlab.datalab.datalab.datalab property)": [[4, "cleanlab.datalab.datalab.Datalab.has_labels"]], "info 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"cleanlab.datalab.internal.data.DatasetDictError.add_note"]], "add_note() (cleanlab.datalab.internal.data.datasetloaderror method)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.add_note"]], "args (cleanlab.datalab.internal.data.dataformaterror attribute)": [[10, "cleanlab.datalab.internal.data.DataFormatError.args"]], "args (cleanlab.datalab.internal.data.datasetdicterror attribute)": [[10, "cleanlab.datalab.internal.data.DatasetDictError.args"]], "args (cleanlab.datalab.internal.data.datasetloaderror attribute)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.args"]], "class_names (cleanlab.datalab.internal.data.data property)": [[10, "cleanlab.datalab.internal.data.Data.class_names"]], "class_names (cleanlab.datalab.internal.data.label property)": [[10, "cleanlab.datalab.internal.data.Label.class_names"]], "class_names (cleanlab.datalab.internal.data.multiclass property)": [[10, "cleanlab.datalab.internal.data.MultiClass.class_names"]], "class_names (cleanlab.datalab.internal.data.multilabel property)": [[10, "cleanlab.datalab.internal.data.MultiLabel.class_names"]], "cleanlab.datalab.internal.data": [[10, "module-cleanlab.datalab.internal.data"]], "has_labels (cleanlab.datalab.internal.data.data property)": [[10, "cleanlab.datalab.internal.data.Data.has_labels"]], "is_available (cleanlab.datalab.internal.data.label property)": [[10, "cleanlab.datalab.internal.data.Label.is_available"]], "is_available (cleanlab.datalab.internal.data.multiclass property)": [[10, "cleanlab.datalab.internal.data.MultiClass.is_available"]], "is_available (cleanlab.datalab.internal.data.multilabel property)": [[10, "cleanlab.datalab.internal.data.MultiLabel.is_available"]], "with_traceback() (cleanlab.datalab.internal.data.dataformaterror method)": [[10, "cleanlab.datalab.internal.data.DataFormatError.with_traceback"]], "with_traceback() (cleanlab.datalab.internal.data.datasetdicterror method)": [[10, "cleanlab.datalab.internal.data.DatasetDictError.with_traceback"]], "with_traceback() (cleanlab.datalab.internal.data.datasetloaderror method)": [[10, "cleanlab.datalab.internal.data.DatasetLoadError.with_traceback"]], "dataissues (class in cleanlab.datalab.internal.data_issues)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues"]], "cleanlab.datalab.internal.data_issues": [[11, "module-cleanlab.datalab.internal.data_issues"]], "collect_issues_from_imagelab() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_issues_from_imagelab"]], "collect_issues_from_issue_manager() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_issues_from_issue_manager"]], "collect_statistics() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.collect_statistics"]], "get_data_statistics() (in 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"set_health_score() (cleanlab.datalab.internal.data_issues.dataissues method)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.set_health_score"]], "statistics (cleanlab.datalab.internal.data_issues.dataissues property)": [[11, "cleanlab.datalab.internal.data_issues.DataIssues.statistics"]], "registry (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.REGISTRY"]], "cleanlab.datalab.internal.issue_manager_factory": [[12, "module-cleanlab.datalab.internal.issue_manager_factory"]], "list_default_issue_types() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.list_default_issue_types"]], "list_possible_issue_types() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.list_possible_issue_types"]], "register() (in module cleanlab.datalab.internal.issue_manager_factory)": [[12, "cleanlab.datalab.internal.issue_manager_factory.register"]], "cleanlab.datalab.internal": [[13, "module-cleanlab.datalab.internal"]], "issuefinder (class in cleanlab.datalab.internal.issue_finder)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder"]], "cleanlab.datalab.internal.issue_finder": [[14, "module-cleanlab.datalab.internal.issue_finder"]], "find_issues() (cleanlab.datalab.internal.issue_finder.issuefinder method)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder.find_issues"]], "get_available_issue_types() (cleanlab.datalab.internal.issue_finder.issuefinder method)": [[14, "cleanlab.datalab.internal.issue_finder.IssueFinder.get_available_issue_types"]], "default_threshold (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.DEFAULT_THRESHOLD"]], "datavaluationissuemanager (class in cleanlab.datalab.internal.issue_manager.data_valuation)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager"]], "cleanlab.datalab.internal.issue_manager.data_valuation": [[16, "module-cleanlab.datalab.internal.issue_manager.data_valuation"]], "collect_info() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager class method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager class method)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.data_valuation.datavaluationissuemanager attribute)": [[16, "cleanlab.datalab.internal.issue_manager.data_valuation.DataValuationIssueManager.verbosity_levels"]], "nearduplicateissuemanager (class in cleanlab.datalab.internal.issue_manager.duplicate)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager"]], "cleanlab.datalab.internal.issue_manager.duplicate": [[17, "module-cleanlab.datalab.internal.issue_manager.duplicate"]], "collect_info() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager class method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.make_summary"]], "near_duplicate_sets (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.near_duplicate_sets"]], "report() (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager class method)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.duplicate.nearduplicateissuemanager attribute)": [[17, "cleanlab.datalab.internal.issue_manager.duplicate.NearDuplicateIssueManager.verbosity_levels"]], "classimbalanceissuemanager (class in cleanlab.datalab.internal.issue_manager.imbalance)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager"]], "cleanlab.datalab.internal.issue_manager.imbalance": [[18, "module-cleanlab.datalab.internal.issue_manager.imbalance"]], "collect_info() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager class method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager class method)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.imbalance.classimbalanceissuemanager attribute)": [[18, "cleanlab.datalab.internal.issue_manager.imbalance.ClassImbalanceIssueManager.verbosity_levels"]], "issuemanager (class in cleanlab.datalab.internal.issue_manager.issue_manager)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager"]], "cleanlab.datalab.internal.issue_manager.issue_manager": [[20, "module-cleanlab.datalab.internal.issue_manager.issue_manager"]], "collect_info() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.find_issues"]], "info (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager class method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager class method)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.summary"]], "verbosity_levels (cleanlab.datalab.internal.issue_manager.issue_manager.issuemanager attribute)": [[20, "cleanlab.datalab.internal.issue_manager.issue_manager.IssueManager.verbosity_levels"]], "labelissuemanager (class in cleanlab.datalab.internal.issue_manager.label)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager"]], "cleanlab.datalab.internal.issue_manager.label": [[21, "module-cleanlab.datalab.internal.issue_manager.label"]], "collect_info() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.collect_info"]], "description (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.description"]], "find_issues() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.find_issues"]], "get_health_summary() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.get_health_summary"]], "health_summary_parameters (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.health_summary_parameters"]], "info (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.info"]], "issue_name (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_name"]], "issue_score_key (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issue_score_key"]], "issues (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.issues"]], "make_summary() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager class method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.make_summary"]], "report() (cleanlab.datalab.internal.issue_manager.label.labelissuemanager class method)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.report"]], "summary (cleanlab.datalab.internal.issue_manager.label.labelissuemanager attribute)": [[21, "cleanlab.datalab.internal.issue_manager.label.LabelIssueManager.summary"]], "verbosity_levels 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null, "object_fit": null, "object_position": null, "order": null, "overflow": null, "padding": null, "right": null, "top": null, "visibility": null, "width": null}}, "17e351c1dd3a43838b0c813f1d1792ea": {"model_name": "HBoxModel", "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "state": {"_dom_classes": [], "_model_module": "@jupyter-widgets/controls", "_model_module_version": "2.0.0", "_model_name": "HBoxModel", "_view_count": null, "_view_module": "@jupyter-widgets/controls", "_view_module_version": "2.0.0", "_view_name": "HBoxView", "box_style": "", "children": ["IPY_MODEL_f105df57e4d44ad0b56e4c0d23447c9c", "IPY_MODEL_d9e6ae1680db4f439f491945b731959c", "IPY_MODEL_05133e7fc5b549e896b19ea17c0a9470"], "layout": "IPY_MODEL_2d6e768687dc4dc28928ce8924d56bcd", "tabbable": null, "tooltip": null}}}, "version_major": 2, "version_minor": 0} diff --git a/master/tutorials/audio.ipynb b/master/tutorials/audio.ipynb index ce2daded3..690988462 100644 --- a/master/tutorials/audio.ipynb +++ b/master/tutorials/audio.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:37.437869Z", - "iopub.status.busy": "2024-02-08T04:23:37.437704Z", - "iopub.status.idle": "2024-02-08T04:23:42.061386Z", - "shell.execute_reply": "2024-02-08T04:23:42.060834Z" + "iopub.execute_input": "2024-02-08T05:10:02.917002Z", + "iopub.status.busy": "2024-02-08T05:10:02.916527Z", + "iopub.status.idle": "2024-02-08T05:10:07.657923Z", + "shell.execute_reply": "2024-02-08T05:10:07.657382Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:23:42.064278Z", - "iopub.status.busy": "2024-02-08T04:23:42.063634Z", - "iopub.status.idle": "2024-02-08T04:23:42.067011Z", - "shell.execute_reply": "2024-02-08T04:23:42.066572Z" + "iopub.execute_input": "2024-02-08T05:10:07.660471Z", + "iopub.status.busy": "2024-02-08T05:10:07.660125Z", + "iopub.status.idle": "2024-02-08T05:10:07.663317Z", + "shell.execute_reply": "2024-02-08T05:10:07.662893Z" }, "id": "LaEiwXUiVHCS" }, @@ -157,10 +157,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:42.069097Z", - "iopub.status.busy": "2024-02-08T04:23:42.068667Z", - "iopub.status.idle": "2024-02-08T04:23:42.072984Z", - "shell.execute_reply": "2024-02-08T04:23:42.072571Z" + "iopub.execute_input": "2024-02-08T05:10:07.665330Z", + "iopub.status.busy": "2024-02-08T05:10:07.665027Z", + "iopub.status.idle": "2024-02-08T05:10:07.669776Z", + "shell.execute_reply": "2024-02-08T05:10:07.669251Z" }, "nbsphinx": "hidden" }, @@ -208,10 +208,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-02-08T04:23:42.075051Z", - "iopub.status.busy": "2024-02-08T04:23:42.074736Z", - "iopub.status.idle": "2024-02-08T04:23:43.724199Z", - "shell.execute_reply": "2024-02-08T04:23:43.723557Z" + "iopub.execute_input": "2024-02-08T05:10:07.672050Z", + "iopub.status.busy": "2024-02-08T05:10:07.671631Z", + "iopub.status.idle": "2024-02-08T05:10:09.750342Z", + "shell.execute_reply": "2024-02-08T05:10:09.749629Z" }, "id": "GRDPEg7-VOQe", "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6" @@ -242,10 +242,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-02-08T04:23:43.726855Z", - "iopub.status.busy": "2024-02-08T04:23:43.726493Z", - "iopub.status.idle": "2024-02-08T04:23:43.737147Z", - "shell.execute_reply": "2024-02-08T04:23:43.736620Z" + "iopub.execute_input": "2024-02-08T05:10:09.753182Z", + "iopub.status.busy": "2024-02-08T05:10:09.752972Z", + "iopub.status.idle": "2024-02-08T05:10:09.763807Z", + "shell.execute_reply": "2024-02-08T05:10:09.763255Z" }, "id": "FDA5sGZwUSur", "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895" @@ -329,10 +329,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:43.767830Z", - "iopub.status.busy": "2024-02-08T04:23:43.767487Z", - "iopub.status.idle": "2024-02-08T04:23:43.772841Z", - "shell.execute_reply": "2024-02-08T04:23:43.772416Z" + "iopub.execute_input": "2024-02-08T05:10:09.795006Z", + "iopub.status.busy": "2024-02-08T05:10:09.794780Z", + "iopub.status.idle": "2024-02-08T05:10:09.800317Z", + "shell.execute_reply": "2024-02-08T05:10:09.799889Z" }, "nbsphinx": "hidden" }, @@ -380,10 +380,10 @@ "height": 92 }, "execution": { - "iopub.execute_input": "2024-02-08T04:23:43.774741Z", - "iopub.status.busy": "2024-02-08T04:23:43.774438Z", - "iopub.status.idle": "2024-02-08T04:23:44.224278Z", - "shell.execute_reply": "2024-02-08T04:23:44.223692Z" + "iopub.execute_input": "2024-02-08T05:10:09.802245Z", + "iopub.status.busy": "2024-02-08T05:10:09.801984Z", + "iopub.status.idle": "2024-02-08T05:10:10.244422Z", + "shell.execute_reply": "2024-02-08T05:10:10.243946Z" }, "id": "dLBvUZLlII5w", "outputId": "c6a4917f-4a82-4a89-9193-415072e45550" @@ -435,10 +435,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:44.226457Z", - "iopub.status.busy": "2024-02-08T04:23:44.226155Z", - "iopub.status.idle": "2024-02-08T04:23:45.088191Z", - "shell.execute_reply": "2024-02-08T04:23:45.087551Z" + "iopub.execute_input": "2024-02-08T05:10:10.246554Z", + "iopub.status.busy": "2024-02-08T05:10:10.246209Z", + "iopub.status.idle": "2024-02-08T05:10:12.264120Z", + "shell.execute_reply": "2024-02-08T05:10:12.263508Z" }, "id": "vL9lkiKsHvKr" }, @@ -474,10 +474,10 @@ "height": 143 }, "execution": { - "iopub.execute_input": "2024-02-08T04:23:45.090803Z", - "iopub.status.busy": "2024-02-08T04:23:45.090460Z", - "iopub.status.idle": "2024-02-08T04:23:45.111414Z", - "shell.execute_reply": "2024-02-08T04:23:45.110956Z" + "iopub.execute_input": "2024-02-08T05:10:12.266388Z", + "iopub.status.busy": "2024-02-08T05:10:12.266181Z", + "iopub.status.idle": "2024-02-08T05:10:12.286448Z", + "shell.execute_reply": "2024-02-08T05:10:12.285925Z" }, "id": "obQYDKdLiUU6", "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4" @@ -557,10 +557,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:45.113435Z", - "iopub.status.busy": "2024-02-08T04:23:45.113098Z", - "iopub.status.idle": "2024-02-08T04:23:45.116173Z", - "shell.execute_reply": "2024-02-08T04:23:45.115668Z" + "iopub.execute_input": "2024-02-08T05:10:12.288404Z", + "iopub.status.busy": "2024-02-08T05:10:12.288148Z", + "iopub.status.idle": "2024-02-08T05:10:12.291115Z", + "shell.execute_reply": "2024-02-08T05:10:12.290695Z" }, "id": "I8JqhOZgi94g" }, @@ -582,10 +582,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:45.118149Z", - "iopub.status.busy": "2024-02-08T04:23:45.117812Z", - "iopub.status.idle": "2024-02-08T04:23:59.306627Z", - "shell.execute_reply": "2024-02-08T04:23:59.306019Z" + "iopub.execute_input": "2024-02-08T05:10:12.293161Z", + "iopub.status.busy": "2024-02-08T05:10:12.292750Z", + "iopub.status.idle": "2024-02-08T05:10:27.611719Z", + "shell.execute_reply": "2024-02-08T05:10:27.611101Z" }, "id": "2FSQ2GR9R_YA" }, @@ -627,10 +627,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-02-08T04:23:59.309354Z", - "iopub.status.busy": "2024-02-08T04:23:59.309011Z", - "iopub.status.idle": "2024-02-08T04:23:59.312813Z", - "shell.execute_reply": "2024-02-08T04:23:59.312348Z" + "iopub.execute_input": "2024-02-08T05:10:27.614471Z", + "iopub.status.busy": "2024-02-08T05:10:27.614135Z", + "iopub.status.idle": "2024-02-08T05:10:27.617829Z", + "shell.execute_reply": "2024-02-08T05:10:27.617331Z" }, "id": "kAkY31IVXyr8", "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632" @@ -689,10 +689,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:23:59.314928Z", - "iopub.status.busy": "2024-02-08T04:23:59.314501Z", - "iopub.status.idle": "2024-02-08T04:24:00.032474Z", - "shell.execute_reply": "2024-02-08T04:24:00.031862Z" + "iopub.execute_input": "2024-02-08T05:10:27.619869Z", + "iopub.status.busy": "2024-02-08T05:10:27.619513Z", + "iopub.status.idle": "2024-02-08T05:10:28.356958Z", + "shell.execute_reply": "2024-02-08T05:10:28.356238Z" }, "id": "i_drkY9YOcw4" }, @@ -726,10 +726,10 @@ "base_uri": "https://localhost:8080/" }, "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.035309Z", - "iopub.status.busy": "2024-02-08T04:24:00.034952Z", - "iopub.status.idle": "2024-02-08T04:24:00.039558Z", - "shell.execute_reply": "2024-02-08T04:24:00.039087Z" + "iopub.execute_input": "2024-02-08T05:10:28.360007Z", + "iopub.status.busy": "2024-02-08T05:10:28.359524Z", + "iopub.status.idle": "2024-02-08T05:10:28.364554Z", + "shell.execute_reply": "2024-02-08T05:10:28.363944Z" }, "id": "_b-AQeoXOc7q", "outputId": "15ae534a-f517-4906-b177-ca91931a8954" @@ -776,10 +776,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.041924Z", - "iopub.status.busy": "2024-02-08T04:24:00.041579Z", - "iopub.status.idle": "2024-02-08T04:24:00.155311Z", - "shell.execute_reply": "2024-02-08T04:24:00.154672Z" + "iopub.execute_input": "2024-02-08T05:10:28.367123Z", + "iopub.status.busy": "2024-02-08T05:10:28.366593Z", + "iopub.status.idle": "2024-02-08T05:10:28.490652Z", + "shell.execute_reply": "2024-02-08T05:10:28.489988Z" } }, "outputs": [ @@ -816,10 +816,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.157926Z", - "iopub.status.busy": "2024-02-08T04:24:00.157470Z", - "iopub.status.idle": "2024-02-08T04:24:00.167299Z", - "shell.execute_reply": "2024-02-08T04:24:00.166840Z" + "iopub.execute_input": "2024-02-08T05:10:28.492892Z", + "iopub.status.busy": "2024-02-08T05:10:28.492640Z", + "iopub.status.idle": "2024-02-08T05:10:28.502745Z", + "shell.execute_reply": "2024-02-08T05:10:28.502187Z" }, "scrolled": true }, @@ -874,10 +874,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.169331Z", - "iopub.status.busy": "2024-02-08T04:24:00.168954Z", - "iopub.status.idle": "2024-02-08T04:24:00.176582Z", - "shell.execute_reply": "2024-02-08T04:24:00.176051Z" + "iopub.execute_input": "2024-02-08T05:10:28.504792Z", + "iopub.status.busy": "2024-02-08T05:10:28.504574Z", + "iopub.status.idle": "2024-02-08T05:10:28.512631Z", + "shell.execute_reply": "2024-02-08T05:10:28.512066Z" } }, "outputs": [ @@ -981,10 +981,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.178497Z", - "iopub.status.busy": "2024-02-08T04:24:00.178235Z", - "iopub.status.idle": "2024-02-08T04:24:00.182121Z", - "shell.execute_reply": "2024-02-08T04:24:00.181573Z" + "iopub.execute_input": "2024-02-08T05:10:28.514750Z", + "iopub.status.busy": "2024-02-08T05:10:28.514376Z", + "iopub.status.idle": "2024-02-08T05:10:28.518724Z", + "shell.execute_reply": "2024-02-08T05:10:28.518182Z" } }, "outputs": [ @@ -1022,10 +1022,10 @@ "height": 237 }, "execution": { - "iopub.execute_input": "2024-02-08T04:24:00.184174Z", - "iopub.status.busy": "2024-02-08T04:24:00.183860Z", - "iopub.status.idle": "2024-02-08T04:24:00.189292Z", - "shell.execute_reply": "2024-02-08T04:24:00.188819Z" + "iopub.execute_input": "2024-02-08T05:10:28.520704Z", + "iopub.status.busy": "2024-02-08T05:10:28.520404Z", + "iopub.status.idle": "2024-02-08T05:10:28.525844Z", + 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a/master/tutorials/datalab/datalab_advanced.ipynb b/master/tutorials/datalab/datalab_advanced.ipynb index 5b5b6c3f5..fc6778fa9 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": "2024-02-08T04:24:03.904942Z", - "iopub.status.busy": "2024-02-08T04:24:03.904776Z", - "iopub.status.idle": "2024-02-08T04:24:04.993867Z", - "shell.execute_reply": "2024-02-08T04:24:04.993384Z" + "iopub.execute_input": "2024-02-08T05:10:32.271252Z", + "iopub.status.busy": "2024-02-08T05:10:32.270834Z", + "iopub.status.idle": "2024-02-08T05:10:33.407899Z", + "shell.execute_reply": "2024-02-08T05:10:33.407308Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:24:04.996272Z", - "iopub.status.busy": "2024-02-08T04:24:04.996028Z", - "iopub.status.idle": "2024-02-08T04:24:04.999384Z", - "shell.execute_reply": "2024-02-08T04:24:04.998983Z" + "iopub.execute_input": "2024-02-08T05:10:33.410461Z", + "iopub.status.busy": "2024-02-08T05:10:33.410017Z", + "iopub.status.idle": "2024-02-08T05:10:33.413059Z", + "shell.execute_reply": "2024-02-08T05:10:33.412623Z" } }, "outputs": [], @@ -252,10 +252,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.001458Z", - "iopub.status.busy": "2024-02-08T04:24:05.001094Z", - "iopub.status.idle": "2024-02-08T04:24:05.010073Z", - "shell.execute_reply": "2024-02-08T04:24:05.009530Z" + "iopub.execute_input": "2024-02-08T05:10:33.415134Z", + "iopub.status.busy": "2024-02-08T05:10:33.414806Z", + "iopub.status.idle": "2024-02-08T05:10:33.423477Z", + "shell.execute_reply": "2024-02-08T05:10:33.422903Z" }, "nbsphinx": "hidden" }, @@ -353,10 +353,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.012117Z", - "iopub.status.busy": "2024-02-08T04:24:05.011944Z", - "iopub.status.idle": "2024-02-08T04:24:05.016583Z", - "shell.execute_reply": "2024-02-08T04:24:05.016032Z" + "iopub.execute_input": "2024-02-08T05:10:33.425487Z", + "iopub.status.busy": "2024-02-08T05:10:33.425188Z", + "iopub.status.idle": "2024-02-08T05:10:33.430413Z", + "shell.execute_reply": "2024-02-08T05:10:33.429836Z" } }, "outputs": [], @@ -445,10 +445,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.018843Z", - "iopub.status.busy": "2024-02-08T04:24:05.018524Z", - "iopub.status.idle": "2024-02-08T04:24:05.198798Z", - "shell.execute_reply": "2024-02-08T04:24:05.198324Z" + "iopub.execute_input": "2024-02-08T05:10:33.432570Z", + "iopub.status.busy": "2024-02-08T05:10:33.432244Z", + "iopub.status.idle": "2024-02-08T05:10:33.622201Z", + "shell.execute_reply": "2024-02-08T05:10:33.621689Z" }, "nbsphinx": "hidden" }, @@ -517,10 +517,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.201211Z", - "iopub.status.busy": "2024-02-08T04:24:05.200875Z", - "iopub.status.idle": "2024-02-08T04:24:05.514597Z", - "shell.execute_reply": "2024-02-08T04:24:05.514050Z" + "iopub.execute_input": "2024-02-08T05:10:33.624564Z", + "iopub.status.busy": "2024-02-08T05:10:33.624249Z", + "iopub.status.idle": "2024-02-08T05:10:34.001363Z", + "shell.execute_reply": "2024-02-08T05:10:34.000781Z" } }, "outputs": [ @@ -568,10 +568,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.516964Z", - "iopub.status.busy": "2024-02-08T04:24:05.516580Z", - "iopub.status.idle": "2024-02-08T04:24:05.539784Z", - "shell.execute_reply": "2024-02-08T04:24:05.539227Z" + "iopub.execute_input": "2024-02-08T05:10:34.003609Z", + "iopub.status.busy": "2024-02-08T05:10:34.003270Z", + "iopub.status.idle": "2024-02-08T05:10:34.027061Z", + "shell.execute_reply": "2024-02-08T05:10:34.026619Z" } }, "outputs": [], @@ -607,10 +607,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.541965Z", - "iopub.status.busy": "2024-02-08T04:24:05.541548Z", - "iopub.status.idle": "2024-02-08T04:24:05.555212Z", - "shell.execute_reply": "2024-02-08T04:24:05.554675Z" + "iopub.execute_input": "2024-02-08T05:10:34.029263Z", + "iopub.status.busy": "2024-02-08T05:10:34.028920Z", + "iopub.status.idle": "2024-02-08T05:10:34.043155Z", + "shell.execute_reply": "2024-02-08T05:10:34.042687Z" } }, "outputs": [], @@ -641,10 +641,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:05.557355Z", - "iopub.status.busy": "2024-02-08T04:24:05.557068Z", - "iopub.status.idle": "2024-02-08T04:24:07.165049Z", - "shell.execute_reply": "2024-02-08T04:24:07.164421Z" + "iopub.execute_input": "2024-02-08T05:10:34.045627Z", + "iopub.status.busy": "2024-02-08T05:10:34.045279Z", + "iopub.status.idle": "2024-02-08T05:10:35.722412Z", + "shell.execute_reply": "2024-02-08T05:10:35.721793Z" } }, "outputs": [ @@ -708,10 +708,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:07.167703Z", - "iopub.status.busy": "2024-02-08T04:24:07.167183Z", - "iopub.status.idle": "2024-02-08T04:24:07.189438Z", - "shell.execute_reply": "2024-02-08T04:24:07.188870Z" + "iopub.execute_input": "2024-02-08T05:10:35.725162Z", + "iopub.status.busy": 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"/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:329: UserWarning: Overwriting columns ['outlier_score', 'is_outlier_issue'] in self.issues with columns from issue manager OutlierIssueManager.\n", " warnings.warn(\n", "/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:359: UserWarning: Overwriting row in self.issue_summary with row from issue manager OutlierIssueManager.\n", " warnings.warn(\n", @@ -935,10 +935,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:07.211886Z", - "iopub.status.busy": "2024-02-08T04:24:07.211462Z", - "iopub.status.idle": "2024-02-08T04:24:07.224227Z", - "shell.execute_reply": "2024-02-08T04:24:07.223745Z" + "iopub.execute_input": "2024-02-08T05:10:35.769395Z", + "iopub.status.busy": "2024-02-08T05:10:35.769056Z", + "iopub.status.idle": "2024-02-08T05:10:35.781775Z", + "shell.execute_reply": "2024-02-08T05:10:35.781323Z" } }, "outputs": [ @@ -1068,17 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"model_module_version": "2.0.0", "model_name": "ProgressStyleModel", diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb index ddd9a0288..25e9067f2 100644 --- a/master/tutorials/datalab/datalab_quickstart.ipynb +++ b/master/tutorials/datalab/datalab_quickstart.ipynb @@ -78,10 +78,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:10.077451Z", - "iopub.status.busy": "2024-02-08T04:24:10.077285Z", - "iopub.status.idle": "2024-02-08T04:24:11.155222Z", - "shell.execute_reply": "2024-02-08T04:24:11.154747Z" + "iopub.execute_input": "2024-02-08T05:10:38.472695Z", + "iopub.status.busy": "2024-02-08T05:10:38.472201Z", + "iopub.status.idle": "2024-02-08T05:10:39.611994Z", + "shell.execute_reply": "2024-02-08T05:10:39.611431Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:24:11.157851Z", - "iopub.status.busy": "2024-02-08T04:24:11.157344Z", - "iopub.status.idle": "2024-02-08T04:24:11.160350Z", - "shell.execute_reply": "2024-02-08T04:24:11.159894Z" + "iopub.execute_input": "2024-02-08T05:10:39.614554Z", + "iopub.status.busy": "2024-02-08T05:10:39.614141Z", + "iopub.status.idle": "2024-02-08T05:10:39.617072Z", + "shell.execute_reply": "2024-02-08T05:10:39.616573Z" } }, "outputs": [], @@ -250,10 +250,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.162368Z", - "iopub.status.busy": "2024-02-08T04:24:11.162049Z", - "iopub.status.idle": "2024-02-08T04:24:11.171024Z", - "shell.execute_reply": "2024-02-08T04:24:11.170577Z" + "iopub.execute_input": "2024-02-08T05:10:39.619338Z", + "iopub.status.busy": "2024-02-08T05:10:39.618908Z", + "iopub.status.idle": "2024-02-08T05:10:39.627921Z", + "shell.execute_reply": "2024-02-08T05:10:39.627474Z" }, "nbsphinx": "hidden" }, @@ -356,10 +356,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.172948Z", - "iopub.status.busy": "2024-02-08T04:24:11.172636Z", - "iopub.status.idle": "2024-02-08T04:24:11.177558Z", - "shell.execute_reply": "2024-02-08T04:24:11.177025Z" + "iopub.execute_input": "2024-02-08T05:10:39.629787Z", + "iopub.status.busy": "2024-02-08T05:10:39.629608Z", + "iopub.status.idle": "2024-02-08T05:10:39.634350Z", + "shell.execute_reply": "2024-02-08T05:10:39.633956Z" } }, "outputs": [], @@ -448,10 +448,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.179804Z", - "iopub.status.busy": "2024-02-08T04:24:11.179485Z", - "iopub.status.idle": "2024-02-08T04:24:11.359601Z", - "shell.execute_reply": "2024-02-08T04:24:11.359130Z" + "iopub.execute_input": "2024-02-08T05:10:39.636490Z", + "iopub.status.busy": "2024-02-08T05:10:39.636186Z", + "iopub.status.idle": "2024-02-08T05:10:39.818117Z", + "shell.execute_reply": "2024-02-08T05:10:39.817616Z" }, "nbsphinx": "hidden" }, @@ -520,10 +520,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.361673Z", - "iopub.status.busy": "2024-02-08T04:24:11.361342Z", - "iopub.status.idle": "2024-02-08T04:24:11.674092Z", - "shell.execute_reply": "2024-02-08T04:24:11.673528Z" + "iopub.execute_input": "2024-02-08T05:10:39.820529Z", + "iopub.status.busy": "2024-02-08T05:10:39.820250Z", + "iopub.status.idle": "2024-02-08T05:10:40.140880Z", + "shell.execute_reply": "2024-02-08T05:10:40.140326Z" } }, "outputs": [ @@ -559,10 +559,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.676225Z", - "iopub.status.busy": "2024-02-08T04:24:11.675875Z", - "iopub.status.idle": "2024-02-08T04:24:11.678464Z", - "shell.execute_reply": "2024-02-08T04:24:11.678032Z" + "iopub.execute_input": "2024-02-08T05:10:40.142919Z", + "iopub.status.busy": "2024-02-08T05:10:40.142708Z", + "iopub.status.idle": "2024-02-08T05:10:40.145476Z", + "shell.execute_reply": "2024-02-08T05:10:40.144960Z" } }, "outputs": [], @@ -601,10 +601,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.680597Z", - "iopub.status.busy": "2024-02-08T04:24:11.680276Z", - "iopub.status.idle": "2024-02-08T04:24:11.714901Z", - "shell.execute_reply": "2024-02-08T04:24:11.714446Z" + "iopub.execute_input": "2024-02-08T05:10:40.147667Z", + "iopub.status.busy": "2024-02-08T05:10:40.147230Z", + "iopub.status.idle": "2024-02-08T05:10:40.182705Z", + "shell.execute_reply": "2024-02-08T05:10:40.182059Z" } }, "outputs": [ @@ -646,10 +646,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:11.716854Z", - "iopub.status.busy": "2024-02-08T04:24:11.716532Z", - "iopub.status.idle": "2024-02-08T04:24:13.336051Z", - "shell.execute_reply": "2024-02-08T04:24:13.335483Z" + "iopub.execute_input": "2024-02-08T05:10:40.184847Z", + "iopub.status.busy": "2024-02-08T05:10:40.184645Z", + "iopub.status.idle": "2024-02-08T05:10:41.854206Z", + "shell.execute_reply": "2024-02-08T05:10:41.853603Z" } }, "outputs": [ @@ -701,10 +701,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.338787Z", - "iopub.status.busy": "2024-02-08T04:24:13.338148Z", - "iopub.status.idle": "2024-02-08T04:24:13.354146Z", - "shell.execute_reply": "2024-02-08T04:24:13.353618Z" + "iopub.execute_input": "2024-02-08T05:10:41.856606Z", + "iopub.status.busy": "2024-02-08T05:10:41.856141Z", + "iopub.status.idle": "2024-02-08T05:10:41.872507Z", + "shell.execute_reply": "2024-02-08T05:10:41.872075Z" } }, "outputs": [ @@ -834,10 +834,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.356249Z", - "iopub.status.busy": "2024-02-08T04:24:13.355807Z", - "iopub.status.idle": "2024-02-08T04:24:13.361997Z", - "shell.execute_reply": "2024-02-08T04:24:13.361579Z" + "iopub.execute_input": "2024-02-08T05:10:41.874528Z", + "iopub.status.busy": "2024-02-08T05:10:41.874207Z", + "iopub.status.idle": "2024-02-08T05:10:41.880746Z", + "shell.execute_reply": "2024-02-08T05:10:41.880305Z" } }, "outputs": [ @@ -941,10 +941,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.363802Z", - "iopub.status.busy": "2024-02-08T04:24:13.363629Z", - "iopub.status.idle": "2024-02-08T04:24:13.369247Z", - "shell.execute_reply": "2024-02-08T04:24:13.368746Z" + "iopub.execute_input": "2024-02-08T05:10:41.882767Z", + "iopub.status.busy": "2024-02-08T05:10:41.882376Z", + "iopub.status.idle": "2024-02-08T05:10:41.888174Z", + "shell.execute_reply": "2024-02-08T05:10:41.887623Z" } }, "outputs": [ @@ -1011,10 +1011,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.371215Z", - "iopub.status.busy": "2024-02-08T04:24:13.370889Z", - "iopub.status.idle": "2024-02-08T04:24:13.380285Z", - "shell.execute_reply": "2024-02-08T04:24:13.379818Z" + "iopub.execute_input": "2024-02-08T05:10:41.890106Z", + "iopub.status.busy": "2024-02-08T05:10:41.889803Z", + "iopub.status.idle": "2024-02-08T05:10:41.899337Z", + "shell.execute_reply": "2024-02-08T05:10:41.898883Z" } }, "outputs": [ @@ -1187,10 +1187,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.382328Z", - "iopub.status.busy": "2024-02-08T04:24:13.382008Z", - "iopub.status.idle": "2024-02-08T04:24:13.390350Z", - "shell.execute_reply": "2024-02-08T04:24:13.389806Z" + "iopub.execute_input": "2024-02-08T05:10:41.901301Z", + "iopub.status.busy": "2024-02-08T05:10:41.901001Z", + "iopub.status.idle": "2024-02-08T05:10:41.910010Z", + "shell.execute_reply": "2024-02-08T05:10:41.909474Z" } }, "outputs": [ @@ -1306,10 +1306,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.392298Z", - "iopub.status.busy": "2024-02-08T04:24:13.392122Z", - "iopub.status.idle": "2024-02-08T04:24:13.398813Z", - "shell.execute_reply": "2024-02-08T04:24:13.398333Z" + "iopub.execute_input": "2024-02-08T05:10:41.912045Z", + "iopub.status.busy": "2024-02-08T05:10:41.911721Z", + "iopub.status.idle": "2024-02-08T05:10:41.918528Z", + "shell.execute_reply": "2024-02-08T05:10:41.917933Z" }, "scrolled": true }, @@ -1434,10 +1434,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:13.400635Z", - "iopub.status.busy": "2024-02-08T04:24:13.400463Z", - "iopub.status.idle": "2024-02-08T04:24:13.409484Z", - "shell.execute_reply": "2024-02-08T04:24:13.409030Z" + "iopub.execute_input": "2024-02-08T05:10:41.920453Z", + "iopub.status.busy": "2024-02-08T05:10:41.920278Z", + "iopub.status.idle": "2024-02-08T05:10:41.929219Z", + "shell.execute_reply": "2024-02-08T05:10:41.928680Z" } }, "outputs": [ diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb index c71974eb9..6558306c0 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": "2024-02-08T04:24:15.765748Z", - "iopub.status.busy": "2024-02-08T04:24:15.765574Z", - "iopub.status.idle": "2024-02-08T04:24:16.795070Z", - "shell.execute_reply": "2024-02-08T04:24:16.794525Z" + "iopub.execute_input": "2024-02-08T05:10:44.644313Z", + "iopub.status.busy": "2024-02-08T05:10:44.643965Z", + "iopub.status.idle": "2024-02-08T05:10:45.688616Z", + "shell.execute_reply": "2024-02-08T05:10:45.688118Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:24:16.797646Z", - "iopub.status.busy": "2024-02-08T04:24:16.797376Z", - "iopub.status.idle": "2024-02-08T04:24:16.830922Z", - "shell.execute_reply": "2024-02-08T04:24:16.830494Z" + "iopub.execute_input": "2024-02-08T05:10:45.691313Z", + "iopub.status.busy": "2024-02-08T05:10:45.690729Z", + "iopub.status.idle": "2024-02-08T05:10:45.724820Z", + "shell.execute_reply": "2024-02-08T05:10:45.724373Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:16.833228Z", - "iopub.status.busy": "2024-02-08T04:24:16.832829Z", - "iopub.status.idle": "2024-02-08T04:24:17.007557Z", - "shell.execute_reply": "2024-02-08T04:24:17.007108Z" + "iopub.execute_input": "2024-02-08T05:10:45.727160Z", + "iopub.status.busy": "2024-02-08T05:10:45.726886Z", + "iopub.status.idle": "2024-02-08T05:10:46.053280Z", + "shell.execute_reply": "2024-02-08T05:10:46.052685Z" } }, "outputs": [ @@ -265,10 +265,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:17.009572Z", - "iopub.status.busy": "2024-02-08T04:24:17.009249Z", - "iopub.status.idle": "2024-02-08T04:24:17.013364Z", - "shell.execute_reply": "2024-02-08T04:24:17.012916Z" + "iopub.execute_input": "2024-02-08T05:10:46.055274Z", + "iopub.status.busy": "2024-02-08T05:10:46.055096Z", + "iopub.status.idle": "2024-02-08T05:10:46.059483Z", + "shell.execute_reply": "2024-02-08T05:10:46.059061Z" } }, "outputs": [], @@ -289,10 +289,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:17.015436Z", - "iopub.status.busy": "2024-02-08T04:24:17.015052Z", - "iopub.status.idle": "2024-02-08T04:24:17.022947Z", - "shell.execute_reply": "2024-02-08T04:24:17.022532Z" + "iopub.execute_input": "2024-02-08T05:10:46.061356Z", + "iopub.status.busy": "2024-02-08T05:10:46.061180Z", + "iopub.status.idle": "2024-02-08T05:10:46.068998Z", + "shell.execute_reply": "2024-02-08T05:10:46.068462Z" } }, "outputs": [], @@ -337,10 +337,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:17.025093Z", - "iopub.status.busy": "2024-02-08T04:24:17.024762Z", - "iopub.status.idle": "2024-02-08T04:24:17.027322Z", - "shell.execute_reply": "2024-02-08T04:24:17.026869Z" + "iopub.execute_input": "2024-02-08T05:10:46.071329Z", + "iopub.status.busy": "2024-02-08T05:10:46.070934Z", + "iopub.status.idle": "2024-02-08T05:10:46.073569Z", + "shell.execute_reply": "2024-02-08T05:10:46.073034Z" } }, "outputs": [], @@ -362,10 +362,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:17.029290Z", - "iopub.status.busy": "2024-02-08T04:24:17.028919Z", - "iopub.status.idle": "2024-02-08T04:24:19.950389Z", - "shell.execute_reply": "2024-02-08T04:24:19.949778Z" + "iopub.execute_input": "2024-02-08T05:10:46.075693Z", + "iopub.status.busy": "2024-02-08T05:10:46.075311Z", + "iopub.status.idle": "2024-02-08T05:10:49.069168Z", + "shell.execute_reply": "2024-02-08T05:10:49.068529Z" } }, "outputs": [], @@ -401,10 +401,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:19.952956Z", - "iopub.status.busy": "2024-02-08T04:24:19.952760Z", - "iopub.status.idle": "2024-02-08T04:24:19.961906Z", - "shell.execute_reply": "2024-02-08T04:24:19.961482Z" + "iopub.execute_input": "2024-02-08T05:10:49.072035Z", + "iopub.status.busy": "2024-02-08T05:10:49.071566Z", + "iopub.status.idle": "2024-02-08T05:10:49.081166Z", + "shell.execute_reply": "2024-02-08T05:10:49.080626Z" } }, "outputs": [], @@ -436,10 +436,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:19.963757Z", - "iopub.status.busy": "2024-02-08T04:24:19.963583Z", - "iopub.status.idle": "2024-02-08T04:24:21.654271Z", - "shell.execute_reply": "2024-02-08T04:24:21.653591Z" + "iopub.execute_input": "2024-02-08T05:10:49.083306Z", + "iopub.status.busy": "2024-02-08T05:10:49.082938Z", + "iopub.status.idle": "2024-02-08T05:10:50.854706Z", + "shell.execute_reply": "2024-02-08T05:10:50.854101Z" } }, "outputs": [ @@ -475,10 +475,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.658232Z", - "iopub.status.busy": "2024-02-08T04:24:21.656789Z", - "iopub.status.idle": "2024-02-08T04:24:21.678656Z", - "shell.execute_reply": "2024-02-08T04:24:21.678162Z" + "iopub.execute_input": "2024-02-08T05:10:50.858580Z", + "iopub.status.busy": "2024-02-08T05:10:50.857300Z", + "iopub.status.idle": "2024-02-08T05:10:50.879437Z", + "shell.execute_reply": "2024-02-08T05:10:50.878954Z" }, "scrolled": true }, @@ -604,10 +604,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.682071Z", - "iopub.status.busy": "2024-02-08T04:24:21.681164Z", - "iopub.status.idle": "2024-02-08T04:24:21.692054Z", - "shell.execute_reply": "2024-02-08T04:24:21.691557Z" + "iopub.execute_input": "2024-02-08T05:10:50.882938Z", + "iopub.status.busy": "2024-02-08T05:10:50.882032Z", + "iopub.status.idle": "2024-02-08T05:10:50.893041Z", + "shell.execute_reply": "2024-02-08T05:10:50.892562Z" } }, "outputs": [ @@ -711,10 +711,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.695395Z", - "iopub.status.busy": "2024-02-08T04:24:21.694500Z", - "iopub.status.idle": "2024-02-08T04:24:21.706939Z", - "shell.execute_reply": "2024-02-08T04:24:21.706457Z" + "iopub.execute_input": "2024-02-08T05:10:50.896506Z", + "iopub.status.busy": "2024-02-08T05:10:50.895585Z", + "iopub.status.idle": "2024-02-08T05:10:50.908611Z", + "shell.execute_reply": "2024-02-08T05:10:50.908107Z" } }, "outputs": [ @@ -843,10 +843,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.710338Z", - "iopub.status.busy": "2024-02-08T04:24:21.709437Z", - "iopub.status.idle": "2024-02-08T04:24:21.720293Z", - "shell.execute_reply": "2024-02-08T04:24:21.719792Z" + "iopub.execute_input": "2024-02-08T05:10:50.912109Z", + "iopub.status.busy": "2024-02-08T05:10:50.911187Z", + "iopub.status.idle": "2024-02-08T05:10:50.922679Z", + "shell.execute_reply": "2024-02-08T05:10:50.922154Z" } }, "outputs": [ @@ -960,10 +960,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.723706Z", - "iopub.status.busy": "2024-02-08T04:24:21.722805Z", - "iopub.status.idle": "2024-02-08T04:24:21.735120Z", - "shell.execute_reply": "2024-02-08T04:24:21.734643Z" + "iopub.execute_input": "2024-02-08T05:10:50.926355Z", + "iopub.status.busy": "2024-02-08T05:10:50.925435Z", + "iopub.status.idle": "2024-02-08T05:10:50.938703Z", + "shell.execute_reply": "2024-02-08T05:10:50.938205Z" } }, "outputs": [ @@ -1074,10 +1074,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.738473Z", - "iopub.status.busy": "2024-02-08T04:24:21.737583Z", - "iopub.status.idle": "2024-02-08T04:24:21.746396Z", - "shell.execute_reply": "2024-02-08T04:24:21.745995Z" + "iopub.execute_input": "2024-02-08T05:10:50.942221Z", + "iopub.status.busy": "2024-02-08T05:10:50.941325Z", + "iopub.status.idle": "2024-02-08T05:10:50.949786Z", + "shell.execute_reply": "2024-02-08T05:10:50.949253Z" } }, "outputs": [ @@ -1161,10 +1161,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.748522Z", - "iopub.status.busy": "2024-02-08T04:24:21.748205Z", - "iopub.status.idle": "2024-02-08T04:24:21.754462Z", - "shell.execute_reply": "2024-02-08T04:24:21.753990Z" + "iopub.execute_input": "2024-02-08T05:10:50.952037Z", + "iopub.status.busy": "2024-02-08T05:10:50.951863Z", + "iopub.status.idle": "2024-02-08T05:10:50.959214Z", + "shell.execute_reply": "2024-02-08T05:10:50.958580Z" } }, "outputs": [ @@ -1257,10 +1257,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:21.756270Z", - "iopub.status.busy": "2024-02-08T04:24:21.756105Z", - "iopub.status.idle": "2024-02-08T04:24:21.762342Z", - "shell.execute_reply": "2024-02-08T04:24:21.761938Z" + "iopub.execute_input": "2024-02-08T05:10:50.961632Z", + "iopub.status.busy": "2024-02-08T05:10:50.961204Z", + "iopub.status.idle": "2024-02-08T05:10:50.967968Z", + "shell.execute_reply": "2024-02-08T05:10:50.967526Z" }, "nbsphinx": "hidden" }, diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html index 3c0a98ad6..c52d49783 100644 --- a/master/tutorials/datalab/text.html +++ b/master/tutorials/datalab/text.html @@ -706,7 +706,7 @@

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

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

    @@ -753,43 +753,43 @@

    2. Load and format the text dataset

    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    -
    +
    @@ -1523,7 +1523,7 @@

    Easy ModeCleanlab Studio which will automatically produce one for you. Super easy to use, Cleanlab Studio is no-code platform for data-centric AI that automatically: detects data issues (more types of issues than this cleanlab package), helps you quickly correct these data issues, confidently labels large subsets of an unlabeled dataset, and provides other smart metadata about each of your data points – all powered by a system that automatically trains/deploys the best ML model for your data. Try it for free!

    diff --git a/master/tutorials/datalab/text.ipynb b/master/tutorials/datalab/text.ipynb index a343bc01a..cde728b85 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": "2024-02-08T04:24:24.152987Z", - "iopub.status.busy": "2024-02-08T04:24:24.152814Z", - "iopub.status.idle": "2024-02-08T04:24:26.979321Z", - "shell.execute_reply": "2024-02-08T04:24:26.978774Z" + "iopub.execute_input": "2024-02-08T05:10:53.675209Z", + "iopub.status.busy": "2024-02-08T05:10:53.675032Z", + "iopub.status.idle": "2024-02-08T05:10:56.695488Z", + "shell.execute_reply": "2024-02-08T05:10:56.694928Z" }, "nbsphinx": "hidden" }, @@ -96,7 +96,7 @@ "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n", " cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n", " %pip install $cmd\n", "else:\n", @@ -121,10 +121,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:26.981942Z", - "iopub.status.busy": "2024-02-08T04:24:26.981501Z", - "iopub.status.idle": "2024-02-08T04:24:26.984680Z", - "shell.execute_reply": "2024-02-08T04:24:26.984235Z" + "iopub.execute_input": "2024-02-08T05:10:56.698110Z", + "iopub.status.busy": "2024-02-08T05:10:56.697686Z", + "iopub.status.idle": "2024-02-08T05:10:56.700966Z", + "shell.execute_reply": "2024-02-08T05:10:56.700494Z" } }, "outputs": [], @@ -145,10 +145,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:26.986618Z", - "iopub.status.busy": "2024-02-08T04:24:26.986247Z", - "iopub.status.idle": "2024-02-08T04:24:26.989286Z", - "shell.execute_reply": "2024-02-08T04:24:26.988817Z" + "iopub.execute_input": "2024-02-08T05:10:56.702836Z", + "iopub.status.busy": "2024-02-08T05:10:56.702650Z", + "iopub.status.idle": "2024-02-08T05:10:56.705591Z", + "shell.execute_reply": "2024-02-08T05:10:56.705163Z" }, "nbsphinx": "hidden" }, @@ -178,10 +178,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:26.991314Z", - "iopub.status.busy": "2024-02-08T04:24:26.990931Z", - "iopub.status.idle": "2024-02-08T04:24:27.051017Z", - "shell.execute_reply": "2024-02-08T04:24:27.050487Z" + "iopub.execute_input": "2024-02-08T05:10:56.707443Z", + "iopub.status.busy": "2024-02-08T05:10:56.707266Z", + "iopub.status.idle": "2024-02-08T05:10:56.857130Z", + "shell.execute_reply": "2024-02-08T05:10:56.856557Z" } }, "outputs": [ @@ -271,10 +271,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:27.053038Z", - "iopub.status.busy": "2024-02-08T04:24:27.052859Z", - "iopub.status.idle": "2024-02-08T04:24:27.056268Z", - "shell.execute_reply": "2024-02-08T04:24:27.055786Z" + "iopub.execute_input": "2024-02-08T05:10:56.859322Z", + "iopub.status.busy": "2024-02-08T05:10:56.858985Z", + "iopub.status.idle": "2024-02-08T05:10:56.862842Z", + "shell.execute_reply": "2024-02-08T05:10:56.862386Z" } }, "outputs": [ @@ -283,7 +283,7 @@ "output_type": "stream", "text": [ "This dataset has 10 classes.\n", - "Classes: {'lost_or_stolen_phone', 'cancel_transfer', 'apple_pay_or_google_pay', 'visa_or_mastercard', 'beneficiary_not_allowed', 'card_about_to_expire', 'change_pin', 'getting_spare_card', 'card_payment_fee_charged', 'supported_cards_and_currencies'}\n" + "Classes: {'apple_pay_or_google_pay', 'change_pin', 'beneficiary_not_allowed', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'lost_or_stolen_phone', 'visa_or_mastercard', 'cancel_transfer', 'getting_spare_card', 'card_about_to_expire'}\n" ] } ], @@ -307,10 +307,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:27.058211Z", - "iopub.status.busy": "2024-02-08T04:24:27.057883Z", - "iopub.status.idle": "2024-02-08T04:24:27.060749Z", - "shell.execute_reply": "2024-02-08T04:24:27.060214Z" + "iopub.execute_input": "2024-02-08T05:10:56.864824Z", + "iopub.status.busy": "2024-02-08T05:10:56.864458Z", + "iopub.status.idle": "2024-02-08T05:10:56.867610Z", + "shell.execute_reply": "2024-02-08T05:10:56.867073Z" } }, "outputs": [ @@ -365,17 +365,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:27.062782Z", - "iopub.status.busy": "2024-02-08T04:24:27.062466Z", - "iopub.status.idle": "2024-02-08T04:24:31.950077Z", - "shell.execute_reply": "2024-02-08T04:24:31.949442Z" + "iopub.execute_input": "2024-02-08T05:10:56.869601Z", + "iopub.status.busy": "2024-02-08T05:10:56.869297Z", + "iopub.status.idle": "2024-02-08T05:11:02.417087Z", + "shell.execute_reply": "2024-02-08T05:11:02.416542Z" } }, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ba2de796b6ed4818b29822ffacaae295", + "model_id": "1561e5b2c3da47e99d3e688471792ec4", "version_major": 2, "version_minor": 0 }, @@ -389,7 +389,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "4574bf2f2f8949f3b77cc1ab937f6920", + "model_id": "a4eb983299e24e20b98bcf4edf3d6aaf", "version_major": 2, "version_minor": 0 }, @@ -403,7 +403,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "10b5d7ddf6054afe956c23786e03c318", + "model_id": "c9439b97c3f0411e89621bacc52530c7", "version_major": 2, "version_minor": 0 }, @@ -417,7 +417,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f9c8133b87d44842b1e686734c9decb9", + "model_id": "c97f0e01e42646d9806c02b4b3648039", "version_major": 2, "version_minor": 0 }, @@ -431,7 +431,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3b0b654a2f5d4df683b8c7db2f3f5510", + "model_id": "68e65ef8220340c6ba1e341cc09d6c20", "version_major": 2, "version_minor": 0 }, @@ -445,7 +445,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7019ca693bd54e7ab35a34a117d0820f", + "model_id": "52d773e347a940bc9a6cb1f89db261e4", "version_major": 2, "version_minor": 0 }, @@ -459,7 +459,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "e56eab34ca074b7fbf5139bd0c1f2101", + "model_id": "3da1dc1bde4241479e3e0b4387114890", "version_major": 2, "version_minor": 0 }, @@ -521,10 +521,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:31.952979Z", - "iopub.status.busy": "2024-02-08T04:24:31.952531Z", - "iopub.status.idle": "2024-02-08T04:24:32.835570Z", - "shell.execute_reply": "2024-02-08T04:24:32.835003Z" + "iopub.execute_input": "2024-02-08T05:11:02.419508Z", + "iopub.status.busy": "2024-02-08T05:11:02.419310Z", + "iopub.status.idle": "2024-02-08T05:11:03.316290Z", + "shell.execute_reply": "2024-02-08T05:11:03.315674Z" }, "scrolled": true }, @@ -556,10 +556,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:32.838391Z", - "iopub.status.busy": "2024-02-08T04:24:32.838002Z", - "iopub.status.idle": "2024-02-08T04:24:32.840844Z", - "shell.execute_reply": "2024-02-08T04:24:32.840362Z" + "iopub.execute_input": "2024-02-08T05:11:03.319079Z", + "iopub.status.busy": "2024-02-08T05:11:03.318700Z", + "iopub.status.idle": "2024-02-08T05:11:03.321774Z", + "shell.execute_reply": "2024-02-08T05:11:03.321271Z" } }, "outputs": [], @@ -579,10 +579,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:32.843133Z", - "iopub.status.busy": "2024-02-08T04:24:32.842775Z", - "iopub.status.idle": "2024-02-08T04:24:34.335068Z", - "shell.execute_reply": "2024-02-08T04:24:34.334411Z" + "iopub.execute_input": "2024-02-08T05:11:03.324095Z", + "iopub.status.busy": "2024-02-08T05:11:03.323754Z", + "iopub.status.idle": "2024-02-08T05:11:04.915071Z", + "shell.execute_reply": "2024-02-08T05:11:04.914354Z" }, "scrolled": true }, @@ -626,10 +626,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.338885Z", - "iopub.status.busy": "2024-02-08T04:24:34.337574Z", - "iopub.status.idle": "2024-02-08T04:24:34.360089Z", - "shell.execute_reply": "2024-02-08T04:24:34.359580Z" + "iopub.execute_input": "2024-02-08T05:11:04.919293Z", + "iopub.status.busy": "2024-02-08T05:11:04.917907Z", + "iopub.status.idle": "2024-02-08T05:11:04.942137Z", + "shell.execute_reply": "2024-02-08T05:11:04.941575Z" }, "scrolled": true }, @@ -756,10 +756,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.363544Z", - "iopub.status.busy": "2024-02-08T04:24:34.362642Z", - "iopub.status.idle": "2024-02-08T04:24:34.373982Z", - "shell.execute_reply": "2024-02-08T04:24:34.373506Z" + "iopub.execute_input": "2024-02-08T05:11:04.946098Z", + "iopub.status.busy": "2024-02-08T05:11:04.945114Z", + "iopub.status.idle": "2024-02-08T05:11:04.957782Z", + "shell.execute_reply": "2024-02-08T05:11:04.957252Z" }, "scrolled": true }, @@ -869,10 +869,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.377441Z", - "iopub.status.busy": "2024-02-08T04:24:34.376515Z", - "iopub.status.idle": "2024-02-08T04:24:34.382932Z", - "shell.execute_reply": "2024-02-08T04:24:34.382450Z" + "iopub.execute_input": "2024-02-08T05:11:04.961569Z", + "iopub.status.busy": "2024-02-08T05:11:04.960621Z", + "iopub.status.idle": "2024-02-08T05:11:04.967520Z", + "shell.execute_reply": "2024-02-08T05:11:04.967014Z" } }, "outputs": [ @@ -910,10 +910,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.386293Z", - "iopub.status.busy": "2024-02-08T04:24:34.385389Z", - "iopub.status.idle": "2024-02-08T04:24:34.394603Z", - "shell.execute_reply": "2024-02-08T04:24:34.394127Z" + "iopub.execute_input": "2024-02-08T05:11:04.971133Z", + "iopub.status.busy": "2024-02-08T05:11:04.970211Z", + "iopub.status.idle": "2024-02-08T05:11:04.978788Z", + "shell.execute_reply": "2024-02-08T05:11:04.978188Z" } }, "outputs": [ @@ -1030,10 +1030,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.396961Z", - "iopub.status.busy": "2024-02-08T04:24:34.396785Z", - "iopub.status.idle": "2024-02-08T04:24:34.403612Z", - "shell.execute_reply": "2024-02-08T04:24:34.403006Z" + "iopub.execute_input": "2024-02-08T05:11:04.982203Z", + "iopub.status.busy": "2024-02-08T05:11:04.981338Z", + "iopub.status.idle": "2024-02-08T05:11:04.990596Z", + "shell.execute_reply": "2024-02-08T05:11:04.990084Z" } }, "outputs": [ @@ -1116,10 +1116,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.405547Z", - "iopub.status.busy": "2024-02-08T04:24:34.405371Z", - "iopub.status.idle": "2024-02-08T04:24:34.411086Z", - "shell.execute_reply": "2024-02-08T04:24:34.410666Z" + "iopub.execute_input": "2024-02-08T05:11:04.993201Z", + "iopub.status.busy": "2024-02-08T05:11:04.993026Z", + "iopub.status.idle": "2024-02-08T05:11:05.000226Z", + "shell.execute_reply": "2024-02-08T05:11:04.999728Z" } }, "outputs": [ @@ -1227,10 +1227,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.413062Z", - "iopub.status.busy": "2024-02-08T04:24:34.412900Z", - "iopub.status.idle": "2024-02-08T04:24:34.420696Z", - "shell.execute_reply": "2024-02-08T04:24:34.420267Z" + "iopub.execute_input": "2024-02-08T05:11:05.002754Z", + "iopub.status.busy": "2024-02-08T05:11:05.002368Z", + "iopub.status.idle": "2024-02-08T05:11:05.011438Z", + "shell.execute_reply": "2024-02-08T05:11:05.010975Z" } }, "outputs": [ @@ -1341,10 +1341,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.422520Z", - "iopub.status.busy": "2024-02-08T04:24:34.422362Z", - "iopub.status.idle": "2024-02-08T04:24:34.427469Z", - "shell.execute_reply": "2024-02-08T04:24:34.427041Z" + "iopub.execute_input": "2024-02-08T05:11:05.013621Z", + "iopub.status.busy": "2024-02-08T05:11:05.013249Z", + "iopub.status.idle": "2024-02-08T05:11:05.018790Z", + "shell.execute_reply": "2024-02-08T05:11:05.018344Z" } }, "outputs": [ @@ -1412,10 +1412,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.429343Z", - "iopub.status.busy": "2024-02-08T04:24:34.429011Z", - "iopub.status.idle": "2024-02-08T04:24:34.434283Z", - "shell.execute_reply": "2024-02-08T04:24:34.433845Z" + "iopub.execute_input": "2024-02-08T05:11:05.020936Z", + "iopub.status.busy": "2024-02-08T05:11:05.020551Z", + "iopub.status.idle": "2024-02-08T05:11:05.025962Z", + "shell.execute_reply": "2024-02-08T05:11:05.025517Z" } }, "outputs": [ @@ -1494,10 +1494,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.436413Z", - "iopub.status.busy": "2024-02-08T04:24:34.435990Z", - "iopub.status.idle": "2024-02-08T04:24:34.439751Z", - "shell.execute_reply": "2024-02-08T04:24:34.439222Z" + "iopub.execute_input": "2024-02-08T05:11:05.027877Z", + "iopub.status.busy": "2024-02-08T05:11:05.027706Z", + "iopub.status.idle": "2024-02-08T05:11:05.031250Z", + "shell.execute_reply": "2024-02-08T05:11:05.030709Z" } }, "outputs": [ @@ -1545,10 +1545,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:34.441782Z", - "iopub.status.busy": "2024-02-08T04:24:34.441474Z", - "iopub.status.idle": "2024-02-08T04:24:34.446432Z", - "shell.execute_reply": "2024-02-08T04:24:34.445983Z" + "iopub.execute_input": "2024-02-08T05:11:05.033433Z", + "iopub.status.busy": "2024-02-08T05:11:05.033066Z", + "iopub.status.idle": "2024-02-08T05:11:05.038420Z", + "shell.execute_reply": "2024-02-08T05:11:05.037871Z" }, "nbsphinx": "hidden" }, @@ -1598,7 +1598,25 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "05c4c20c0f414059b04fba7c3e39c36a": { + "021198b4e2184745ad8e9d340795e5f3": { + "model_module": "@jupyter-widgets/controls", + "model_module_version": "2.0.0", + "model_name": "HTMLStyleModel", + "state": { + "_model_module": "@jupyter-widgets/controls", + "_model_module_version": "2.0.0", + "_model_name": "HTMLStyleModel", + "_view_count": null, + "_view_module": "@jupyter-widgets/base", + "_view_module_version": "2.0.0", + "_view_name": "StyleView", + "background": null, + "description_width": "", + "font_size": null, + "text_color": null + } + }, + "034f8b8fe0644b18ac5cbfb4d3584f61": { "model_module": "@jupyter-widgets/controls", 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- "_model_name": "HTMLModel", + "_model_name": "LayoutModel", "_view_count": null, - "_view_module": "@jupyter-widgets/controls", + "_view_module": "@jupyter-widgets/base", "_view_module_version": "2.0.0", - "_view_name": "HTMLView", - "description": "", - "description_allow_html": false, - "layout": "IPY_MODEL_e46151afb1e7450c8e8984491a7da0a1", - "placeholder": "​", - "style": "IPY_MODEL_51a821a454224f29b345ad1b44db7f93", - "tabbable": null, - "tooltip": null, - "value": "tokenizer.json: 100%" + "_view_name": "LayoutView", + "align_content": null, + "align_items": null, + "align_self": null, + "border_bottom": null, + "border_left": null, + "border_right": null, + "border_top": null, + "bottom": null, + "display": null, + "flex": null, + "flex_flow": null, + "grid_area": null, + "grid_auto_columns": null, + "grid_auto_flow": null, + "grid_auto_rows": null, + "grid_column": null, + "grid_gap": null, + "grid_row": null, + "grid_template_areas": null, + "grid_template_columns": null, + "grid_template_rows": null, + "height": null, + "justify_content": null, + "justify_items": null, + "left": null, + "margin": null, + "max_height": null, + "max_width": null, + "min_height": null, + "min_width": null, + "object_fit": null, + "object_position": null, + "order": null, + "overflow": null, + "padding": null, + "right": null, + "top": null, + "visibility": null, + "width": null } } }, diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb index cb94579f3..a78d1816e 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": "2024-02-08T04:24:37.613708Z", - "iopub.status.busy": "2024-02-08T04:24:37.613541Z", - "iopub.status.idle": "2024-02-08T04:24:38.638099Z", - "shell.execute_reply": "2024-02-08T04:24:38.637502Z" + "iopub.execute_input": "2024-02-08T05:11:08.323441Z", + "iopub.status.busy": "2024-02-08T05:11:08.323025Z", + "iopub.status.idle": "2024-02-08T05:11:09.474749Z", + "shell.execute_reply": "2024-02-08T05:11:09.474158Z" }, "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n", + " %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:24:38.641015Z", - "iopub.status.busy": "2024-02-08T04:24:38.640442Z", - "iopub.status.idle": "2024-02-08T04:24:38.643303Z", - "shell.execute_reply": "2024-02-08T04:24:38.642787Z" + "iopub.execute_input": "2024-02-08T05:11:09.477547Z", + "iopub.status.busy": "2024-02-08T05:11:09.477141Z", + "iopub.status.idle": "2024-02-08T05:11:09.480630Z", + "shell.execute_reply": "2024-02-08T05:11:09.480196Z" }, "id": "_UvI80l42iyi" }, @@ -201,10 +201,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:38.645740Z", - "iopub.status.busy": "2024-02-08T04:24:38.645351Z", - "iopub.status.idle": "2024-02-08T04:24:38.657042Z", - "shell.execute_reply": "2024-02-08T04:24:38.656531Z" + "iopub.execute_input": "2024-02-08T05:11:09.482890Z", + "iopub.status.busy": "2024-02-08T05:11:09.482565Z", + "iopub.status.idle": "2024-02-08T05:11:09.494523Z", + "shell.execute_reply": "2024-02-08T05:11:09.494015Z" }, "nbsphinx": "hidden" }, @@ -283,10 +283,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:38.659120Z", - "iopub.status.busy": "2024-02-08T04:24:38.658837Z", - "iopub.status.idle": "2024-02-08T04:24:43.591617Z", - "shell.execute_reply": "2024-02-08T04:24:43.591122Z" + "iopub.execute_input": "2024-02-08T05:11:09.496748Z", + "iopub.status.busy": "2024-02-08T05:11:09.496386Z", + "iopub.status.idle": "2024-02-08T05:11:20.267416Z", + "shell.execute_reply": "2024-02-08T05:11:20.266899Z" }, "id": "dhTHOg8Pyv5G" }, diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html index b3ac26455..c0b62cf2b 100644 --- a/master/tutorials/faq.html +++ b/master/tutorials/faq.html @@ -700,13 +700,13 @@

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

    -
    +
    -
    +
    @@ -1578,7 +1578,7 @@

    How to handle near-duplicate data identified by cleanlab? 
    -/tmp/ipykernel_5856/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
+/tmp/ipykernel_6088/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.
   to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values

    @@ -1620,7 +1620,7 @@

    Can’t find an answer to your question?new Github issue. Our developers may also provide personalized assistance in our Slack Community.

    Professional support and services are also available from our ML experts, learn more by emailing: info@cleanlab.ai

    diff --git a/master/tutorials/faq.ipynb b/master/tutorials/faq.ipynb index 01d99ce84..3305d8771 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:45.573789Z", - "iopub.status.busy": "2024-02-08T04:24:45.573620Z", - "iopub.status.idle": "2024-02-08T04:24:46.583993Z", - "shell.execute_reply": "2024-02-08T04:24:46.583448Z" + "iopub.execute_input": "2024-02-08T05:11:22.606201Z", + "iopub.status.busy": "2024-02-08T05:11:22.606025Z", + "iopub.status.idle": "2024-02-08T05:11:23.697394Z", + "shell.execute_reply": "2024-02-08T05:11:23.696773Z" }, "nbsphinx": "hidden" }, @@ -97,10 +97,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:46.586600Z", - "iopub.status.busy": "2024-02-08T04:24:46.586248Z", - "iopub.status.idle": "2024-02-08T04:24:46.590035Z", - "shell.execute_reply": "2024-02-08T04:24:46.589617Z" + "iopub.execute_input": "2024-02-08T05:11:23.700223Z", + "iopub.status.busy": "2024-02-08T05:11:23.699876Z", + "iopub.status.idle": "2024-02-08T05:11:23.703292Z", + "shell.execute_reply": "2024-02-08T05:11:23.702852Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:46.591939Z", - "iopub.status.busy": "2024-02-08T04:24:46.591737Z", - "iopub.status.idle": "2024-02-08T04:24:49.474373Z", - "shell.execute_reply": "2024-02-08T04:24:49.473737Z" + "iopub.execute_input": "2024-02-08T05:11:23.705486Z", + "iopub.status.busy": "2024-02-08T05:11:23.705156Z", + "iopub.status.idle": "2024-02-08T05:11:26.757434Z", + "shell.execute_reply": "2024-02-08T05:11:26.756799Z" } }, "outputs": [], @@ -162,10 +162,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.477377Z", - "iopub.status.busy": "2024-02-08T04:24:49.476660Z", - "iopub.status.idle": "2024-02-08T04:24:49.508409Z", - "shell.execute_reply": "2024-02-08T04:24:49.507803Z" + "iopub.execute_input": "2024-02-08T05:11:26.760963Z", + "iopub.status.busy": "2024-02-08T05:11:26.759887Z", + "iopub.status.idle": "2024-02-08T05:11:26.801164Z", + "shell.execute_reply": "2024-02-08T05:11:26.800422Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.510776Z", - "iopub.status.busy": "2024-02-08T04:24:49.510550Z", - "iopub.status.idle": "2024-02-08T04:24:49.538544Z", - "shell.execute_reply": "2024-02-08T04:24:49.537958Z" + "iopub.execute_input": "2024-02-08T05:11:26.804151Z", + "iopub.status.busy": "2024-02-08T05:11:26.803670Z", + "iopub.status.idle": "2024-02-08T05:11:26.842192Z", + "shell.execute_reply": "2024-02-08T05:11:26.841538Z" } }, "outputs": [], @@ -213,10 +213,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.541085Z", - "iopub.status.busy": "2024-02-08T04:24:49.540717Z", - "iopub.status.idle": "2024-02-08T04:24:49.543776Z", - "shell.execute_reply": "2024-02-08T04:24:49.543329Z" + "iopub.execute_input": "2024-02-08T05:11:26.845114Z", + "iopub.status.busy": "2024-02-08T05:11:26.844658Z", + "iopub.status.idle": "2024-02-08T05:11:26.847678Z", + "shell.execute_reply": "2024-02-08T05:11:26.847218Z" } }, "outputs": [], @@ -238,10 +238,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.545731Z", - "iopub.status.busy": "2024-02-08T04:24:49.545364Z", - "iopub.status.idle": "2024-02-08T04:24:49.547897Z", - "shell.execute_reply": "2024-02-08T04:24:49.547441Z" + "iopub.execute_input": "2024-02-08T05:11:26.849841Z", + "iopub.status.busy": "2024-02-08T05:11:26.849441Z", + "iopub.status.idle": "2024-02-08T05:11:26.852121Z", + "shell.execute_reply": "2024-02-08T05:11:26.851641Z" } }, "outputs": [], @@ -298,10 +298,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.549990Z", - "iopub.status.busy": "2024-02-08T04:24:49.549665Z", - "iopub.status.idle": "2024-02-08T04:24:49.572583Z", - "shell.execute_reply": "2024-02-08T04:24:49.572032Z" + "iopub.execute_input": "2024-02-08T05:11:26.854267Z", + "iopub.status.busy": "2024-02-08T05:11:26.853995Z", + "iopub.status.idle": "2024-02-08T05:11:26.880472Z", + "shell.execute_reply": "2024-02-08T05:11:26.879888Z" } }, "outputs": [ @@ -315,7 +315,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "5c0191b13eea419db01e0f9eecfae1ec", + "model_id": "78cba4b8da0f44b8997e2424fe19dbff", "version_major": 2, "version_minor": 0 }, @@ -329,7 +329,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "87fe2e877c264789adf23c7eddcce500", + "model_id": "be08b0354eb04e518b8a75f62d0d766e", "version_major": 2, "version_minor": 0 }, @@ -387,10 +387,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.579504Z", - "iopub.status.busy": "2024-02-08T04:24:49.579329Z", - "iopub.status.idle": "2024-02-08T04:24:49.585894Z", - "shell.execute_reply": "2024-02-08T04:24:49.585346Z" + "iopub.execute_input": "2024-02-08T05:11:26.886237Z", + "iopub.status.busy": "2024-02-08T05:11:26.885937Z", + "iopub.status.idle": "2024-02-08T05:11:26.892921Z", + "shell.execute_reply": "2024-02-08T05:11:26.892500Z" }, "nbsphinx": "hidden" }, @@ -421,10 +421,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.588062Z", - "iopub.status.busy": "2024-02-08T04:24:49.587674Z", - "iopub.status.idle": "2024-02-08T04:24:49.591088Z", - "shell.execute_reply": "2024-02-08T04:24:49.590626Z" + "iopub.execute_input": "2024-02-08T05:11:26.895076Z", + "iopub.status.busy": "2024-02-08T05:11:26.894752Z", + "iopub.status.idle": "2024-02-08T05:11:26.898037Z", + "shell.execute_reply": "2024-02-08T05:11:26.897543Z" }, "nbsphinx": "hidden" }, @@ -447,10 +447,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.593026Z", - "iopub.status.busy": "2024-02-08T04:24:49.592853Z", - "iopub.status.idle": "2024-02-08T04:24:49.599027Z", - "shell.execute_reply": "2024-02-08T04:24:49.598603Z" + "iopub.execute_input": "2024-02-08T05:11:26.900206Z", + "iopub.status.busy": "2024-02-08T05:11:26.899872Z", + "iopub.status.idle": "2024-02-08T05:11:26.906102Z", + "shell.execute_reply": "2024-02-08T05:11:26.905634Z" } }, "outputs": [], @@ -500,10 +500,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.600879Z", - "iopub.status.busy": "2024-02-08T04:24:49.600710Z", - "iopub.status.idle": "2024-02-08T04:24:49.633862Z", - "shell.execute_reply": "2024-02-08T04:24:49.633169Z" + "iopub.execute_input": "2024-02-08T05:11:26.908120Z", + "iopub.status.busy": "2024-02-08T05:11:26.907792Z", + "iopub.status.idle": "2024-02-08T05:11:26.946506Z", + "shell.execute_reply": "2024-02-08T05:11:26.945866Z" } }, "outputs": [], @@ -520,10 +520,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:49.636532Z", - "iopub.status.busy": "2024-02-08T04:24:49.636294Z", - "iopub.status.idle": "2024-02-08T04:24:49.666209Z", - "shell.execute_reply": "2024-02-08T04:24:49.665641Z" + "iopub.execute_input": "2024-02-08T05:11:26.949053Z", + "iopub.status.busy": "2024-02-08T05:11:26.948806Z", + "iopub.status.idle": "2024-02-08T05:11:26.989522Z", + "shell.execute_reply": "2024-02-08T05:11:26.988814Z" }, "nbsphinx": "hidden" }, @@ -602,10 +602,10 @@ "id": "4c9e9030", "metadata": { "execution": { - 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"iopub.execute_input": "2024-02-08T04:24:52.857015Z", - "iopub.status.busy": "2024-02-08T04:24:52.856827Z", - "iopub.status.idle": "2024-02-08T04:24:52.917026Z", - "shell.execute_reply": "2024-02-08T04:24:52.916549Z" + "iopub.execute_input": "2024-02-08T05:11:30.196165Z", + "iopub.status.busy": "2024-02-08T05:11:30.195794Z", + "iopub.status.idle": "2024-02-08T05:11:30.252447Z", + "shell.execute_reply": "2024-02-08T05:11:30.251888Z" } }, "outputs": [ @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "187c759b", + "id": "bfe43cbe", "metadata": {}, "source": [ "### How do I specify pre-computed data slices/clusters when detecting the Underperforming Group Issue?" @@ -1214,7 +1214,7 @@ }, { "cell_type": "markdown", - "id": "b9f3b94f", + "id": "20f126b1", "metadata": {}, "source": [ "When detecting underperforming groups in a dataset, Datalab provides the option for passing pre-computed\n", @@ -1227,13 +1227,13 @@ { "cell_type": "code", "execution_count": 17, - "id": "a1c4f448", + "id": "16761bb6", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:52.919102Z", - "iopub.status.busy": "2024-02-08T04:24:52.918777Z", - "iopub.status.idle": "2024-02-08T04:24:53.015984Z", - "shell.execute_reply": "2024-02-08T04:24:53.015447Z" + "iopub.execute_input": "2024-02-08T05:11:30.254698Z", + "iopub.status.busy": "2024-02-08T05:11:30.254370Z", + "iopub.status.idle": "2024-02-08T05:11:30.372246Z", + "shell.execute_reply": "2024-02-08T05:11:30.371679Z" } }, "outputs": [ @@ -1274,7 +1274,7 @@ }, { "cell_type": "markdown", - "id": "ca16f7a6", + "id": "856b641a", "metadata": {}, "source": [ "For a tabular dataset, you can alternatively use a categorical column's values as cluster IDs:" @@ -1283,13 +1283,13 @@ { "cell_type": "code", "execution_count": 18, - "id": "b7531f4e", + "id": "2aa056d4", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:53.018620Z", - "iopub.status.busy": "2024-02-08T04:24:53.018003Z", - "iopub.status.idle": "2024-02-08T04:24:53.093962Z", - "shell.execute_reply": "2024-02-08T04:24:53.093545Z" + "iopub.execute_input": "2024-02-08T05:11:30.375175Z", + "iopub.status.busy": "2024-02-08T05:11:30.374638Z", + "iopub.status.idle": "2024-02-08T05:11:30.437160Z", + "shell.execute_reply": "2024-02-08T05:11:30.436653Z" } }, "outputs": [ @@ -1325,7 +1325,7 @@ }, { "cell_type": "markdown", - "id": "73c03ed6", + "id": "ac654ffb", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1336,13 +1336,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "5dee6e03", + "id": "6706b5f4", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:53.096140Z", - "iopub.status.busy": "2024-02-08T04:24:53.095803Z", - "iopub.status.idle": "2024-02-08T04:24:53.103009Z", - "shell.execute_reply": "2024-02-08T04:24:53.102627Z" + "iopub.execute_input": "2024-02-08T05:11:30.439809Z", + "iopub.status.busy": "2024-02-08T05:11:30.439229Z", + "iopub.status.idle": "2024-02-08T05:11:30.447037Z", + "shell.execute_reply": "2024-02-08T05:11:30.446585Z" } }, "outputs": [], @@ -1444,7 +1444,7 @@ }, { "cell_type": "markdown", - "id": "b90c0ece", + "id": "5c1d612b", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1459,13 +1459,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "358dc020", + "id": "c1a1d9c2", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:53.105084Z", - "iopub.status.busy": "2024-02-08T04:24:53.104708Z", - "iopub.status.idle": "2024-02-08T04:24:53.124038Z", - "shell.execute_reply": "2024-02-08T04:24:53.123459Z" + "iopub.execute_input": "2024-02-08T05:11:30.449262Z", + "iopub.status.busy": "2024-02-08T05:11:30.448886Z", + "iopub.status.idle": "2024-02-08T05:11:30.470160Z", + "shell.execute_reply": "2024-02-08T05:11:30.469602Z" } }, "outputs": [ @@ -1482,7 +1482,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_5856/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", + "/tmp/ipykernel_6088/1995098996.py:88: DeprecationWarning: DataFrameGroupBy.apply operated on the grouping columns. This behavior is deprecated, and in a future version of pandas the grouping columns will be excluded from the operation. Either pass `include_groups=False` to exclude the groupings or explicitly select the grouping columns after groupby to silence this warning.\n", " to_keep_indices = duplicate_rows.groupby(group_key).apply(strategy_fn, **strategy_kwargs).explode().values\n" ] } @@ -1516,13 +1516,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "00e7c49a", + "id": "9fb5b9a7", "metadata": { "execution": { - "iopub.execute_input": "2024-02-08T04:24:53.125974Z", - "iopub.status.busy": "2024-02-08T04:24:53.125662Z", - "iopub.status.idle": "2024-02-08T04:24:53.128656Z", - "shell.execute_reply": "2024-02-08T04:24:53.128129Z" + "iopub.execute_input": "2024-02-08T05:11:30.472247Z", + "iopub.status.busy": "2024-02-08T05:11:30.471936Z", + "iopub.status.idle": "2024-02-08T05:11:30.475237Z", + "shell.execute_reply": "2024-02-08T05:11:30.474711Z" } }, "outputs": [ @@ -1617,60 +1617,33 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "015ef5b9c4e7426e8c19853cef8ae11f": { - "model_module": "@jupyter-widgets/base", + "05de50edb7344de49fc9a7e46146a0dc": { + "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", - 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 Computing feature embeddings ...

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@@ -2125,16 +2212,16 @@ 
    5. Compute out-of-sample predicted probabilities and feature embeddings
 
    
 
    
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    5. Compute out-of-sample predicted probabilities and feature embeddings
 
    
 
    
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    5. Compute out-of-sample predicted probabilities and feature embeddings
 
    
 
    
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@@ -2295,7 +2382,7 @@ 
    7. Use cleanlab to find issues
 
    
 
    
-
    
+
 
 
    
 
    
@@ -3012,35 +3099,35 @@ 
    Dark images
       
-      is_dark_issue
       dark_score
+      is_dark_issue
     
   
   
     
       34848
-      True
       0.203922
+      True
     
     
       50270
-      True
       0.204588
+      True
     
     
       3936
-      True
       0.213098
+      True
     
     
       733
-      True
       0.217686
+      True
     
     
       8094
-      True
       0.230118
+      True
     
   
 
@@ -3134,35 +3221,35 @@ 
    Low information images
     
       
-      low_information_score
       is_low_information_issue
+      low_information_score
     
   
   
     
       53050
-      0.067975
       True
+      0.067975
     
     
       40875
-      0.089929
       True
+      0.089929
     
     
       9594
-      0.092601
       True
+      0.092601
     
     
       34825
-      0.107744
       True
+      0.107744
     
     
       37530
-      0.108516
       True
+      0.108516
     
   
 
@@ -3190,7 +3277,7 @@ 
    Easy ModeCleanlab Studio which will automatically produce one for you. Super easy to use, Cleanlab Studio is no-code platform for data-centric AI that automatically: detects data
 issues (more types of issues than this cleanlab package), helps you quickly correct these data issues, confidently labels large subsets of an unlabeled dataset, and provides other smart metadata about each of your data points – all powered by a system that automatically trains/deploys the best ML model for your data. Try it for free!
    
 
 
 
diff --git a/master/tutorials/image.ipynb b/master/tutorials/image.ipynb
index ca3884e75..6cc35451a 100644
--- a/master/tutorials/image.ipynb
+++ b/master/tutorials/image.ipynb
@@ -71,10 +71,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:24:56.232543Z",
-     "iopub.status.busy": "2024-02-08T04:24:56.232378Z",
-     "iopub.status.idle": "2024-02-08T04:24:58.931394Z",
-     "shell.execute_reply": "2024-02-08T04:24:58.930789Z"
+     "iopub.execute_input": "2024-02-08T05:11:33.855472Z",
+     "iopub.status.busy": "2024-02-08T05:11:33.855301Z",
+     "iopub.status.idle": "2024-02-08T05:11:36.680229Z",
+     "shell.execute_reply": "2024-02-08T05:11:36.679587Z"
     },
     "nbsphinx": "hidden"
    },
@@ -112,10 +112,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:24:58.934174Z",
-     "iopub.status.busy": "2024-02-08T04:24:58.933710Z",
-     "iopub.status.idle": "2024-02-08T04:24:58.937329Z",
-     "shell.execute_reply": "2024-02-08T04:24:58.936873Z"
+     "iopub.execute_input": "2024-02-08T05:11:36.682789Z",
+     "iopub.status.busy": "2024-02-08T05:11:36.682504Z",
+     "iopub.status.idle": "2024-02-08T05:11:36.686100Z",
+     "shell.execute_reply": "2024-02-08T05:11:36.685571Z"
     }
    },
    "outputs": [],
@@ -152,17 +152,17 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:24:58.939174Z",
-     "iopub.status.busy": "2024-02-08T04:24:58.938911Z",
-     "iopub.status.idle": "2024-02-08T04:25:01.280745Z",
-     "shell.execute_reply": "2024-02-08T04:25:01.280238Z"
+     "iopub.execute_input": "2024-02-08T05:11:36.688210Z",
+     "iopub.status.busy": "2024-02-08T05:11:36.687886Z",
+     "iopub.status.idle": "2024-02-08T05:11:42.408324Z",
+     "shell.execute_reply": "2024-02-08T05:11:42.407756Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1eec2d01466b406faa6fd5ecda631e5d",
+       "model_id": "5c4b4cfac6fb41f2bb0be9cbeb8c1702",
        "version_major": 2,
        "version_minor": 0
       },
@@ -176,7 +176,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e589d0c9f4074d929f567d526d1382cd",
+       "model_id": "e5ff19704e974b418104ac00b0017738",
        "version_major": 2,
        "version_minor": 0
       },
@@ -190,7 +190,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ea33752ef0e44cc7a07b481740f0d64f",
+       "model_id": "bbfffb031cc24eb4ae644fb9173c9de0",
        "version_major": 2,
        "version_minor": 0
       },
@@ -204,7 +204,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "105f329ad92c48cf972b910d94794f45",
+       "model_id": "e7800f2f49ce4746b2842751e0616d59",
        "version_major": 2,
        "version_minor": 0
       },
@@ -246,10 +246,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:01.283006Z",
-     "iopub.status.busy": "2024-02-08T04:25:01.282600Z",
-     "iopub.status.idle": "2024-02-08T04:25:01.286183Z",
-     "shell.execute_reply": "2024-02-08T04:25:01.285712Z"
+     "iopub.execute_input": "2024-02-08T05:11:42.410325Z",
+     "iopub.status.busy": "2024-02-08T05:11:42.410111Z",
+     "iopub.status.idle": "2024-02-08T05:11:42.413871Z",
+     "shell.execute_reply": "2024-02-08T05:11:42.413354Z"
     }
    },
    "outputs": [
@@ -274,17 +274,17 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:01.288113Z",
-     "iopub.status.busy": "2024-02-08T04:25:01.287932Z",
-     "iopub.status.idle": "2024-02-08T04:25:12.545629Z",
-     "shell.execute_reply": "2024-02-08T04:25:12.545098Z"
+     "iopub.execute_input": "2024-02-08T05:11:42.415858Z",
+     "iopub.status.busy": "2024-02-08T05:11:42.415525Z",
+     "iopub.status.idle": "2024-02-08T05:11:53.750074Z",
+     "shell.execute_reply": "2024-02-08T05:11:53.749507Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "ce69eb6fd8f34a5bad0f15df3a6b52b0",
+       "model_id": "e05b0e6e74fa464d816d0358a6dc76b4",
        "version_major": 2,
        "version_minor": 0
       },
@@ -322,10 +322,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:12.548131Z",
-     "iopub.status.busy": "2024-02-08T04:25:12.547897Z",
-     "iopub.status.idle": "2024-02-08T04:25:30.917414Z",
-     "shell.execute_reply": "2024-02-08T04:25:30.916876Z"
+     "iopub.execute_input": "2024-02-08T05:11:53.752787Z",
+     "iopub.status.busy": "2024-02-08T05:11:53.752415Z",
+     "iopub.status.idle": "2024-02-08T05:12:12.431429Z",
+     "shell.execute_reply": "2024-02-08T05:12:12.430850Z"
     }
    },
    "outputs": [],
@@ -358,10 +358,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:30.920125Z",
-     "iopub.status.busy": "2024-02-08T04:25:30.919726Z",
-     "iopub.status.idle": "2024-02-08T04:25:30.925627Z",
-     "shell.execute_reply": "2024-02-08T04:25:30.925174Z"
+     "iopub.execute_input": "2024-02-08T05:12:12.434281Z",
+     "iopub.status.busy": "2024-02-08T05:12:12.433867Z",
+     "iopub.status.idle": "2024-02-08T05:12:12.440057Z",
+     "shell.execute_reply": "2024-02-08T05:12:12.439494Z"
     }
    },
    "outputs": [],
@@ -399,10 +399,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:30.927527Z",
-     "iopub.status.busy": "2024-02-08T04:25:30.927201Z",
-     "iopub.status.idle": "2024-02-08T04:25:30.930903Z",
-     "shell.execute_reply": "2024-02-08T04:25:30.930494Z"
+     "iopub.execute_input": "2024-02-08T05:12:12.442385Z",
+     "iopub.status.busy": "2024-02-08T05:12:12.441854Z",
+     "iopub.status.idle": "2024-02-08T05:12:12.446407Z",
+     "shell.execute_reply": "2024-02-08T05:12:12.445964Z"
     },
     "nbsphinx": "hidden"
    },
@@ -539,10 +539,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:30.932869Z",
-     "iopub.status.busy": "2024-02-08T04:25:30.932550Z",
-     "iopub.status.idle": "2024-02-08T04:25:30.941233Z",
-     "shell.execute_reply": "2024-02-08T04:25:30.940796Z"
+     "iopub.execute_input": "2024-02-08T05:12:12.448647Z",
+     "iopub.status.busy": "2024-02-08T05:12:12.448313Z",
+     "iopub.status.idle": "2024-02-08T05:12:12.457542Z",
+     "shell.execute_reply": "2024-02-08T05:12:12.456967Z"
     },
     "nbsphinx": "hidden"
    },
@@ -667,10 +667,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:30.943198Z",
-     "iopub.status.busy": "2024-02-08T04:25:30.942898Z",
-     "iopub.status.idle": "2024-02-08T04:25:30.970984Z",
-     "shell.execute_reply": "2024-02-08T04:25:30.970570Z"
+     "iopub.execute_input": "2024-02-08T05:12:12.459748Z",
+     "iopub.status.busy": "2024-02-08T05:12:12.459381Z",
+     "iopub.status.idle": "2024-02-08T05:12:12.486639Z",
+     "shell.execute_reply": "2024-02-08T05:12:12.486117Z"
     }
    },
    "outputs": [],
@@ -707,10 +707,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:25:30.973114Z",
-     "iopub.status.busy": "2024-02-08T04:25:30.972691Z",
-     "iopub.status.idle": "2024-02-08T04:26:01.791285Z",
-     "shell.execute_reply": "2024-02-08T04:26:01.790653Z"
+     "iopub.execute_input": "2024-02-08T05:12:12.489022Z",
+     "iopub.status.busy": "2024-02-08T05:12:12.488682Z",
+     "iopub.status.idle": "2024-02-08T05:12:47.304575Z",
+     "shell.execute_reply": "2024-02-08T05:12:47.303948Z"
     }
    },
    "outputs": [
@@ -726,14 +726,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.545\n"
+      "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 5.393\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.360\n",
+      "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 5.035\n",
       "Computing feature embeddings ...\n"
      ]
     },
@@ -750,7 +750,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "  8%|▊         | 3/40 [00:00<00:01, 27.78it/s]"
+      "  5%|▌         | 2/40 [00:00<00:02, 18.39it/s]"
      ]
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@@ -758,7 +758,7 @@
      "output_type": "stream",
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       "\r",
-      " 25%|██▌       | 10/40 [00:00<00:00, 51.02it/s]"
+      " 20%|██        | 8/40 [00:00<00:00, 39.50it/s]"
      ]
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@@ -766,7 +766,7 @@
      "output_type": "stream",
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       "\r",
-      " 42%|████▎     | 17/40 [00:00<00:00, 58.17it/s]"
+      " 35%|███▌      | 14/40 [00:00<00:00, 46.73it/s]"
      ]
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@@ -774,7 +774,7 @@
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       "\r",
-      " 62%|██████▎   | 25/40 [00:00<00:00, 63.86it/s]"
+      " 52%|█████▎    | 21/40 [00:00<00:00, 53.72it/s]"
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@@ -782,7 +782,7 @@
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       "\r",
-      " 80%|████████  | 32/40 [00:00<00:00, 62.77it/s]"
+      " 70%|███████   | 28/40 [00:00<00:00, 57.38it/s]"
      ]
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@@ -790,7 +790,15 @@
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       "\r",
-      "100%|██████████| 40/40 [00:00<00:00, 60.88it/s]"
+      " 85%|████████▌ | 34/40 [00:00<00:00, 57.39it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "100%|██████████| 40/40 [00:00<00:00, 53.69it/s]"
      ]
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@@ -820,7 +828,7 @@
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+      "  2%|▎         | 1/40 [00:00<00:04,  9.11it/s]"
      ]
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@@ -828,7 +836,7 @@
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+      " 18%|█▊        | 7/40 [00:00<00:00, 37.60it/s]"
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@@ -836,7 +844,7 @@
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       "\r",
-      " 40%|████      | 16/40 [00:00<00:00, 56.60it/s]"
+      " 32%|███▎      | 13/40 [00:00<00:00, 45.19it/s]"
      ]
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@@ -844,7 +852,7 @@
      "output_type": "stream",
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       "\r",
-      " 60%|██████    | 24/40 [00:00<00:00, 62.68it/s]"
+      " 50%|█████     | 20/40 [00:00<00:00, 51.79it/s]"
      ]
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@@ -852,7 +860,7 @@
      "output_type": "stream",
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       "\r",
-      " 80%|████████  | 32/40 [00:00<00:00, 66.11it/s]"
+      " 68%|██████▊   | 27/40 [00:00<00:00, 56.06it/s]"
      ]
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@@ -860,15 +868,15 @@
      "output_type": "stream",
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       "\r",
-      "100%|██████████| 40/40 [00:00<00:00, 62.45it/s]"
+      " 85%|████████▌ | 34/40 [00:00<00:00, 59.66it/s]"
      ]
     },
     {
-     "name": "stdout",
+     "name": "stderr",
      "output_type": "stream",
      "text": [
-      "\n",
-      "Training on fold: 2 ...\n"
+      "\r",
+      "100%|██████████| 40/40 [00:00<00:00, 53.55it/s]"
      ]
     },
     {
@@ -882,14 +890,22 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.565\n"
+      "\n",
+      "Training on fold: 2 ...\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 5.153\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.325\n",
+      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.956\n",
       "Computing feature embeddings ...\n"
      ]
     },
@@ -906,7 +922,7 @@
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+      "  2%|▎         | 1/40 [00:00<00:04,  9.09it/s]"
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@@ -914,7 +930,7 @@
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       "\r",
-      " 22%|██▎       | 9/40 [00:00<00:00, 48.56it/s]"
+      " 20%|██        | 8/40 [00:00<00:00, 40.71it/s]"
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     {
@@ -922,7 +938,7 @@
      "output_type": "stream",
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       "\r",
-      " 40%|████      | 16/40 [00:00<00:00, 57.12it/s]"
+      " 38%|███▊      | 15/40 [00:00<00:00, 51.00it/s]"
      ]
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@@ -930,7 +946,7 @@
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+      " 52%|█████▎    | 21/40 [00:00<00:00, 53.38it/s]"
      ]
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@@ -938,7 +954,7 @@
      "output_type": "stream",
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+      " 68%|██████▊   | 27/40 [00:00<00:00, 54.81it/s]"
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@@ -946,7 +962,7 @@
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+      " 85%|████████▌ | 34/40 [00:00<00:00, 58.74it/s]"
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@@ -954,7 +970,7 @@
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       "\r",
-      "100%|██████████| 40/40 [00:00<00:00, 61.34it/s]"
+      "100%|██████████| 40/40 [00:00<00:00, 52.08it/s]"
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@@ -984,7 +1000,7 @@
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+      "  2%|▎         | 1/40 [00:00<00:04,  9.35it/s]"
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@@ -992,7 +1008,7 @@
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       "\r",
-      " 25%|██▌       | 10/40 [00:00<00:00, 50.99it/s]"
+      " 20%|██        | 8/40 [00:00<00:00, 41.07it/s]"
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@@ -1000,7 +1016,7 @@
      "output_type": "stream",
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       "\r",
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+      " 38%|███▊      | 15/40 [00:00<00:00, 53.07it/s]"
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@@ -1008,7 +1024,7 @@
      "output_type": "stream",
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       "\r",
-      " 60%|██████    | 24/40 [00:00<00:00, 62.58it/s]"
+      " 55%|█████▌    | 22/40 [00:00<00:00, 57.05it/s]"
      ]
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     {
@@ -1016,7 +1032,7 @@
      "output_type": "stream",
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       "\r",
-      " 78%|███████▊  | 31/40 [00:00<00:00, 65.07it/s]"
+      " 72%|███████▎  | 29/40 [00:00<00:00, 60.72it/s]"
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     },
     {
@@ -1024,7 +1040,7 @@
      "output_type": "stream",
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+      " 90%|█████████ | 36/40 [00:00<00:00, 60.32it/s]"
      ]
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     {
@@ -1032,7 +1048,7 @@
      "output_type": "stream",
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       "\r",
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+      "100%|██████████| 40/40 [00:00<00:00, 55.52it/s]"
      ]
     },
     {
@@ -1054,14 +1070,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.716\n"
+      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 5.128\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.350\n",
+      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.675\n",
       "Computing feature embeddings ...\n"
      ]
     },
@@ -1078,7 +1094,7 @@
      "output_type": "stream",
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       "\r",
-      "  2%|▎         | 1/40 [00:00<00:04,  9.70it/s]"
+      "  2%|▎         | 1/40 [00:00<00:04,  8.42it/s]"
      ]
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     {
@@ -1086,7 +1102,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 20%|██        | 8/40 [00:00<00:00, 44.22it/s]"
+      " 18%|█▊        | 7/40 [00:00<00:00, 34.21it/s]"
      ]
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     {
@@ -1094,7 +1110,7 @@
      "output_type": "stream",
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       "\r",
-      " 38%|███▊      | 15/40 [00:00<00:00, 55.41it/s]"
+      " 35%|███▌      | 14/40 [00:00<00:00, 47.70it/s]"
      ]
     },
     {
@@ -1102,7 +1118,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 55%|█████▌    | 22/40 [00:00<00:00, 60.21it/s]"
+      " 52%|█████▎    | 21/40 [00:00<00:00, 55.32it/s]"
      ]
     },
     {
@@ -1110,7 +1126,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 72%|███████▎  | 29/40 [00:00<00:00, 63.53it/s]"
+      " 68%|██████▊   | 27/40 [00:00<00:00, 56.57it/s]"
      ]
     },
     {
@@ -1118,7 +1134,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 90%|█████████ | 36/40 [00:00<00:00, 64.28it/s]"
+      " 88%|████████▊ | 35/40 [00:00<00:00, 62.30it/s]"
      ]
     },
     {
@@ -1126,7 +1142,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "100%|██████████| 40/40 [00:00<00:00, 59.03it/s]"
+      "100%|██████████| 40/40 [00:00<00:00, 54.64it/s]"
      ]
     },
     {
@@ -1156,7 +1172,15 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "  5%|▌         | 2/40 [00:00<00:02, 17.91it/s]"
+      "  2%|▎         | 1/40 [00:00<00:04,  7.86it/s]"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      " 20%|██        | 8/40 [00:00<00:00, 38.53it/s]"
      ]
     },
     {
@@ -1164,7 +1188,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 25%|██▌       | 10/40 [00:00<00:00, 48.77it/s]"
+      " 35%|███▌      | 14/40 [00:00<00:00, 46.74it/s]"
      ]
     },
     {
@@ -1172,7 +1196,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 45%|████▌     | 18/40 [00:00<00:00, 58.27it/s]"
+      " 52%|█████▎    | 21/40 [00:00<00:00, 52.27it/s]"
      ]
     },
     {
@@ -1180,7 +1204,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 62%|██████▎   | 25/40 [00:00<00:00, 62.12it/s]"
+      " 70%|███████   | 28/40 [00:00<00:00, 57.88it/s]"
      ]
     },
     {
@@ -1188,7 +1212,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      " 80%|████████  | 32/40 [00:00<00:00, 64.03it/s]"
+      " 90%|█████████ | 36/40 [00:00<00:00, 64.33it/s]"
      ]
     },
     {
@@ -1196,7 +1220,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "100%|██████████| 40/40 [00:00<00:00, 61.44it/s]"
+      "100%|██████████| 40/40 [00:00<00:00, 55.15it/s]"
      ]
     },
     {
@@ -1273,10 +1297,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:26:01.793942Z",
-     "iopub.status.busy": "2024-02-08T04:26:01.793708Z",
-     "iopub.status.idle": "2024-02-08T04:26:01.808555Z",
-     "shell.execute_reply": "2024-02-08T04:26:01.808026Z"
+     "iopub.execute_input": "2024-02-08T05:12:47.307122Z",
+     "iopub.status.busy": "2024-02-08T05:12:47.306721Z",
+     "iopub.status.idle": "2024-02-08T05:12:47.321685Z",
+     "shell.execute_reply": "2024-02-08T05:12:47.321241Z"
     }
    },
    "outputs": [],
@@ -1301,10 +1325,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:26:01.810654Z",
-     "iopub.status.busy": "2024-02-08T04:26:01.810270Z",
-     "iopub.status.idle": "2024-02-08T04:26:02.254184Z",
-     "shell.execute_reply": "2024-02-08T04:26:02.253640Z"
+     "iopub.execute_input": "2024-02-08T05:12:47.324152Z",
+     "iopub.status.busy": "2024-02-08T05:12:47.323716Z",
+     "iopub.status.idle": "2024-02-08T05:12:47.795908Z",
+     "shell.execute_reply": "2024-02-08T05:12:47.795244Z"
     }
    },
    "outputs": [],
@@ -1324,10 +1348,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:26:02.256439Z",
-     "iopub.status.busy": "2024-02-08T04:26:02.256259Z",
-     "iopub.status.idle": "2024-02-08T04:29:26.370970Z",
-     "shell.execute_reply": "2024-02-08T04:29:26.370342Z"
+     "iopub.execute_input": "2024-02-08T05:12:47.798403Z",
+     "iopub.status.busy": "2024-02-08T05:12:47.798206Z",
+     "iopub.status.idle": "2024-02-08T05:16:16.134576Z",
+     "shell.execute_reply": "2024-02-08T05:16:16.133948Z"
     }
    },
    "outputs": [
@@ -1366,7 +1390,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a6e7d1c0d21c4730876e3dc529f3db41",
+       "model_id": "c7e1f8c4d56340c8bb108cd4fe09524c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1405,10 +1429,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:26.373314Z",
-     "iopub.status.busy": "2024-02-08T04:29:26.372922Z",
-     "iopub.status.idle": "2024-02-08T04:29:26.818658Z",
-     "shell.execute_reply": "2024-02-08T04:29:26.818134Z"
+     "iopub.execute_input": "2024-02-08T05:16:16.137196Z",
+     "iopub.status.busy": "2024-02-08T05:16:16.136611Z",
+     "iopub.status.idle": "2024-02-08T05:16:16.606508Z",
+     "shell.execute_reply": "2024-02-08T05:16:16.605923Z"
     }
    },
    "outputs": [
@@ -1556,10 +1580,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:26.821205Z",
-     "iopub.status.busy": "2024-02-08T04:29:26.820713Z",
-     "iopub.status.idle": "2024-02-08T04:29:26.881196Z",
-     "shell.execute_reply": "2024-02-08T04:29:26.880709Z"
+     "iopub.execute_input": "2024-02-08T05:16:16.609511Z",
+     "iopub.status.busy": "2024-02-08T05:16:16.609031Z",
+     "iopub.status.idle": "2024-02-08T05:16:16.672077Z",
+     "shell.execute_reply": "2024-02-08T05:16:16.671511Z"
     }
    },
    "outputs": [
@@ -1663,10 +1687,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:26.883670Z",
-     "iopub.status.busy": "2024-02-08T04:29:26.883206Z",
-     "iopub.status.idle": "2024-02-08T04:29:26.891318Z",
-     "shell.execute_reply": "2024-02-08T04:29:26.890887Z"
+     "iopub.execute_input": "2024-02-08T05:16:16.674286Z",
+     "iopub.status.busy": "2024-02-08T05:16:16.673952Z",
+     "iopub.status.idle": "2024-02-08T05:16:16.682904Z",
+     "shell.execute_reply": "2024-02-08T05:16:16.682454Z"
     }
    },
    "outputs": [
@@ -1796,10 +1820,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:26.893282Z",
-     "iopub.status.busy": "2024-02-08T04:29:26.892958Z",
-     "iopub.status.idle": "2024-02-08T04:29:26.897622Z",
-     "shell.execute_reply": "2024-02-08T04:29:26.897061Z"
+     "iopub.execute_input": "2024-02-08T05:16:16.685126Z",
+     "iopub.status.busy": "2024-02-08T05:16:16.684796Z",
+     "iopub.status.idle": "2024-02-08T05:16:16.689639Z",
+     "shell.execute_reply": "2024-02-08T05:16:16.689163Z"
     },
     "nbsphinx": "hidden"
    },
@@ -1845,10 +1869,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:26.899634Z",
-     "iopub.status.busy": "2024-02-08T04:29:26.899324Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.376843Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.376264Z"
+     "iopub.execute_input": "2024-02-08T05:16:16.691789Z",
+     "iopub.status.busy": "2024-02-08T05:16:16.691422Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.213029Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.212410Z"
     }
    },
    "outputs": [
@@ -1883,10 +1907,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.379088Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.378755Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.386489Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.386057Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.215467Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.214996Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.224959Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.224479Z"
     }
    },
    "outputs": [
@@ -2053,10 +2077,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.388581Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.388218Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.395182Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.394738Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.227422Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.226963Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.235643Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.235180Z"
     },
     "nbsphinx": "hidden"
    },
@@ -2132,10 +2156,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.397024Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.396850Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.833200Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.832645Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.237953Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.237551Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.722322Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.721746Z"
     }
    },
    "outputs": [
@@ -2172,10 +2196,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.835376Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.834999Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.850165Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.849608Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.724592Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.724194Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.740235Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.739614Z"
     }
    },
    "outputs": [
@@ -2332,10 +2356,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.852521Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.852115Z",
-     "iopub.status.idle": "2024-02-08T04:29:27.857586Z",
-     "shell.execute_reply": "2024-02-08T04:29:27.857046Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.742697Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.742264Z",
+     "iopub.status.idle": "2024-02-08T05:16:17.749660Z",
+     "shell.execute_reply": "2024-02-08T05:16:17.749131Z"
     },
     "nbsphinx": "hidden"
    },
@@ -2380,10 +2404,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:27.859645Z",
-     "iopub.status.busy": "2024-02-08T04:29:27.859344Z",
-     "iopub.status.idle": "2024-02-08T04:29:28.254342Z",
-     "shell.execute_reply": "2024-02-08T04:29:28.253785Z"
+     "iopub.execute_input": "2024-02-08T05:16:17.752010Z",
+     "iopub.status.busy": "2024-02-08T05:16:17.751625Z",
+     "iopub.status.idle": "2024-02-08T05:16:18.239460Z",
+     "shell.execute_reply": "2024-02-08T05:16:18.238912Z"
     }
    },
    "outputs": [
@@ -2465,10 +2489,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:28.256536Z",
-     "iopub.status.busy": "2024-02-08T04:29:28.256361Z",
-     "iopub.status.idle": "2024-02-08T04:29:28.264799Z",
-     "shell.execute_reply": "2024-02-08T04:29:28.264244Z"
+     "iopub.execute_input": "2024-02-08T05:16:18.242461Z",
+     "iopub.status.busy": "2024-02-08T05:16:18.241984Z",
+     "iopub.status.idle": "2024-02-08T05:16:18.251716Z",
+     "shell.execute_reply": "2024-02-08T05:16:18.251180Z"
     }
    },
    "outputs": [
@@ -2493,47 +2517,47 @@
        "  \n",
        "    \n",
        "      \n",
-       "      is_dark_issue\n",
        "      dark_score\n",
+       "      is_dark_issue\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      34848\n",
-       "      True\n",
        "      0.203922\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      50270\n",
-       "      True\n",
        "      0.204588\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      3936\n",
-       "      True\n",
        "      0.213098\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      733\n",
-       "      True\n",
        "      0.217686\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      8094\n",
-       "      True\n",
        "      0.230118\n",
+       "      True\n",
        "    \n",
        "  \n",
        "\n",
        "
    "
       ],
       "text/plain": [
-       "       is_dark_issue  dark_score\n",
-       "34848           True    0.203922\n",
-       "50270           True    0.204588\n",
-       "3936            True    0.213098\n",
-       "733             True    0.217686\n",
-       "8094            True    0.230118"
+       "       dark_score  is_dark_issue\n",
+       "34848    0.203922           True\n",
+       "50270    0.204588           True\n",
+       "3936     0.213098           True\n",
+       "733      0.217686           True\n",
+       "8094     0.230118           True"
       ]
      },
      "execution_count": 26,
@@ -2596,10 +2620,10 @@
    "execution_count": 27,
    "metadata": {
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-     "shell.execute_reply": "2024-02-08T04:29:28.271528Z"
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     },
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@@ -2636,10 +2660,10 @@
    "execution_count": 28,
    "metadata": {
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-     "shell.execute_reply": "2024-02-08T04:29:28.447945Z"
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@@ -2681,10 +2705,10 @@
    "execution_count": 29,
    "metadata": {
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    "outputs": [
@@ -2709,47 +2733,47 @@
        "  \n",
        "    \n",
        "      \n",
-       "      low_information_score\n",
        "      is_low_information_issue\n",
+       "      low_information_score\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      53050\n",
-       "      0.067975\n",
        "      True\n",
+       "      0.067975\n",
        "    \n",
        "    \n",
        "      40875\n",
-       "      0.089929\n",
        "      True\n",
+       "      0.089929\n",
        "    \n",
        "    \n",
        "      9594\n",
-       "      0.092601\n",
        "      True\n",
+       "      0.092601\n",
        "    \n",
        "    \n",
        "      34825\n",
-       "      0.107744\n",
        "      True\n",
+       "      0.107744\n",
        "    \n",
        "    \n",
        "      37530\n",
-       "      0.108516\n",
        "      True\n",
+       "      0.108516\n",
        "    \n",
        "  \n",
        "\n",
        "
    "
       ],
       "text/plain": [
-       "       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"
+       "       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"
       ]
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      "execution_count": 29,
@@ -2770,10 +2794,10 @@
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@@ -2813,10 +2837,10 @@
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diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb
index 87da21dc3..0df9de925 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": "2024-02-08T04:29:32.645032Z",
-     "iopub.status.busy": "2024-02-08T04:29:32.644695Z",
-     "iopub.status.idle": "2024-02-08T04:29:33.720265Z",
-     "shell.execute_reply": "2024-02-08T04:29:33.719714Z"
+     "iopub.execute_input": "2024-02-08T05:16:23.904483Z",
+     "iopub.status.busy": "2024-02-08T05:16:23.904288Z",
+     "iopub.status.idle": "2024-02-08T05:16:25.064878Z",
+     "shell.execute_reply": "2024-02-08T05:16:25.064318Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:29:33.722754Z",
-     "iopub.status.busy": "2024-02-08T04:29:33.722495Z",
-     "iopub.status.idle": "2024-02-08T04:29:33.896878Z",
-     "shell.execute_reply": "2024-02-08T04:29:33.896375Z"
+     "iopub.execute_input": "2024-02-08T05:16:25.067486Z",
+     "iopub.status.busy": "2024-02-08T05:16:25.067046Z",
+     "iopub.status.idle": "2024-02-08T05:16:25.249068Z",
+     "shell.execute_reply": "2024-02-08T05:16:25.248446Z"
     },
     "id": "avXlHJcXjruP"
    },
@@ -234,10 +234,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:33.899042Z",
-     "iopub.status.busy": "2024-02-08T04:29:33.898858Z",
-     "iopub.status.idle": "2024-02-08T04:29:33.910302Z",
-     "shell.execute_reply": "2024-02-08T04:29:33.909891Z"
+     "iopub.execute_input": "2024-02-08T05:16:25.251515Z",
+     "iopub.status.busy": "2024-02-08T05:16:25.251316Z",
+     "iopub.status.idle": "2024-02-08T05:16:25.263540Z",
+     "shell.execute_reply": "2024-02-08T05:16:25.263084Z"
     },
     "nbsphinx": "hidden"
    },
@@ -340,10 +340,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:33.912102Z",
-     "iopub.status.busy": "2024-02-08T04:29:33.911929Z",
-     "iopub.status.idle": "2024-02-08T04:29:34.143692Z",
-     "shell.execute_reply": "2024-02-08T04:29:34.143115Z"
+     "iopub.execute_input": "2024-02-08T05:16:25.265557Z",
+     "iopub.status.busy": "2024-02-08T05:16:25.265345Z",
+     "iopub.status.idle": "2024-02-08T05:16:25.502662Z",
+     "shell.execute_reply": "2024-02-08T05:16:25.502081Z"
     }
    },
    "outputs": [
@@ -393,10 +393,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:34.146119Z",
-     "iopub.status.busy": "2024-02-08T04:29:34.145722Z",
-     "iopub.status.idle": "2024-02-08T04:29:34.171831Z",
-     "shell.execute_reply": "2024-02-08T04:29:34.171416Z"
+     "iopub.execute_input": "2024-02-08T05:16:25.504829Z",
+     "iopub.status.busy": "2024-02-08T05:16:25.504610Z",
+     "iopub.status.idle": "2024-02-08T05:16:25.531768Z",
+     "shell.execute_reply": "2024-02-08T05:16:25.531124Z"
     }
    },
    "outputs": [],
@@ -427,10 +427,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:34.173843Z",
-     "iopub.status.busy": "2024-02-08T04:29:34.173536Z",
-     "iopub.status.idle": "2024-02-08T04:29:35.807810Z",
-     "shell.execute_reply": "2024-02-08T04:29:35.807175Z"
+     "iopub.execute_input": "2024-02-08T05:16:25.534300Z",
+     "iopub.status.busy": "2024-02-08T05:16:25.534072Z",
+     "iopub.status.idle": "2024-02-08T05:16:27.324472Z",
+     "shell.execute_reply": "2024-02-08T05:16:27.323774Z"
     }
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    "outputs": [
@@ -473,10 +473,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:35.810545Z",
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-     "iopub.status.idle": "2024-02-08T04:29:35.825604Z",
-     "shell.execute_reply": "2024-02-08T04:29:35.825067Z"
+     "iopub.execute_input": "2024-02-08T05:16:27.327517Z",
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+     "shell.execute_reply": "2024-02-08T05:16:27.343410Z"
     },
     "scrolled": true
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@@ -603,10 +603,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:35.827648Z",
-     "iopub.status.busy": "2024-02-08T04:29:35.827315Z",
-     "iopub.status.idle": "2024-02-08T04:29:37.188484Z",
-     "shell.execute_reply": "2024-02-08T04:29:37.187888Z"
+     "iopub.execute_input": "2024-02-08T05:16:27.346267Z",
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     },
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@@ -725,10 +725,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:37.191219Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.203132Z"
+     "iopub.execute_input": "2024-02-08T05:16:28.808277Z",
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     "id": "Wy27rvyhjruU"
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@@ -777,10 +777,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:37.205575Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.275466Z"
+     "iopub.execute_input": "2024-02-08T05:16:28.824303Z",
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+     "shell.execute_reply": "2024-02-08T05:16:28.905616Z"
     },
     "id": "Db8YHnyVjruU"
    },
@@ -887,10 +887,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:37.278425Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.483767Z"
+     "iopub.execute_input": "2024-02-08T05:16:28.908687Z",
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+     "shell.execute_reply": "2024-02-08T05:16:29.121452Z"
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@@ -927,10 +927,10 @@
    "execution_count": 12,
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-     "iopub.execute_input": "2024-02-08T04:29:37.486294Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.502299Z"
+     "iopub.execute_input": "2024-02-08T05:16:29.124454Z",
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@@ -1396,10 +1396,10 @@
    "execution_count": 13,
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-     "iopub.execute_input": "2024-02-08T04:29:37.504575Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.513675Z"
+     "iopub.execute_input": "2024-02-08T05:16:29.143296Z",
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@@ -1546,10 +1546,10 @@
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-     "iopub.execute_input": "2024-02-08T04:29:37.516079Z",
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-     "shell.execute_reply": "2024-02-08T04:29:37.601272Z"
+     "iopub.execute_input": "2024-02-08T05:16:29.155357Z",
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@@ -1630,10 +1630,10 @@
    "execution_count": 15,
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-     "iopub.execute_input": "2024-02-08T04:29:37.604001Z",
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@@ -1693,10 +1693,10 @@
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@@ -1734,10 +1734,10 @@
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@@ -1792,10 +1792,10 @@
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@@ -1846,10 +1846,10 @@
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@@ -1918,10 +1918,10 @@
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@@ -1953,10 +1953,10 @@
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@@ -2013,10 +2013,10 @@
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@@ -2051,10 +2051,10 @@
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@@ -2216,10 +2216,10 @@
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@@ -2273,10 +2273,10 @@
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@@ -2323,10 +2323,10 @@
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-     "iopub.status.idle": "2024-02-08T04:29:39.639347Z",
-     "shell.execute_reply": "2024-02-08T04:29:39.638773Z"
+     "iopub.execute_input": "2024-02-08T05:16:30.369080Z",
+     "iopub.status.busy": "2024-02-08T05:16:30.368616Z",
+     "iopub.status.idle": "2024-02-08T05:16:31.451674Z",
+     "shell.execute_reply": "2024-02-08T05:16:31.451027Z"
     },
     "id": "wL3ngCnuLEWd"
    },
diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb
index dfa012bd1..3c2d16d5f 100644
--- a/master/tutorials/multiannotator.ipynb
+++ b/master/tutorials/multiannotator.ipynb
@@ -89,10 +89,10 @@
    "id": "a3ddc95f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:42.889519Z",
-     "iopub.status.busy": "2024-02-08T04:29:42.889351Z",
-     "iopub.status.idle": "2024-02-08T04:29:43.915960Z",
-     "shell.execute_reply": "2024-02-08T04:29:43.915405Z"
+     "iopub.execute_input": "2024-02-08T05:16:34.936998Z",
+     "iopub.status.busy": "2024-02-08T05:16:34.936817Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.033944Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.033316Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:29:43.918566Z",
-     "iopub.status.busy": "2024-02-08T04:29:43.918062Z",
-     "iopub.status.idle": "2024-02-08T04:29:43.921217Z",
-     "shell.execute_reply": "2024-02-08T04:29:43.920677Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.036779Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.036213Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.039446Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.038895Z"
     }
    },
    "outputs": [],
@@ -264,10 +264,10 @@
    "id": "c37c0a69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:43.923276Z",
-     "iopub.status.busy": "2024-02-08T04:29:43.922951Z",
-     "iopub.status.idle": "2024-02-08T04:29:43.930415Z",
-     "shell.execute_reply": "2024-02-08T04:29:43.929991Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.041728Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.041326Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.049301Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.048798Z"
     },
     "nbsphinx": "hidden"
    },
@@ -351,10 +351,10 @@
    "id": "99f69523",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:43.932385Z",
-     "iopub.status.busy": "2024-02-08T04:29:43.932070Z",
-     "iopub.status.idle": "2024-02-08T04:29:43.978343Z",
-     "shell.execute_reply": "2024-02-08T04:29:43.977921Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.051266Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.051078Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.098632Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.098136Z"
     }
    },
    "outputs": [],
@@ -380,10 +380,10 @@
    "id": "8f241c16",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:43.980378Z",
-     "iopub.status.busy": "2024-02-08T04:29:43.980064Z",
-     "iopub.status.idle": "2024-02-08T04:29:43.996196Z",
-     "shell.execute_reply": "2024-02-08T04:29:43.995736Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.101112Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.100774Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.118463Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.117914Z"
     }
    },
    "outputs": [
@@ -598,10 +598,10 @@
    "id": "4f0819ba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:43.998249Z",
-     "iopub.status.busy": "2024-02-08T04:29:43.997939Z",
-     "iopub.status.idle": "2024-02-08T04:29:44.001493Z",
-     "shell.execute_reply": "2024-02-08T04:29:44.001025Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.120776Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.120434Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.124402Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.123935Z"
     }
    },
    "outputs": [
@@ -672,10 +672,10 @@
    "id": "d009f347",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:44.003462Z",
-     "iopub.status.busy": "2024-02-08T04:29:44.003206Z",
-     "iopub.status.idle": "2024-02-08T04:29:44.032086Z",
-     "shell.execute_reply": "2024-02-08T04:29:44.031667Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.126729Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.126390Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.154633Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.154141Z"
     }
    },
    "outputs": [],
@@ -699,10 +699,10 @@
    "id": "cbd1e415",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:44.033896Z",
-     "iopub.status.busy": "2024-02-08T04:29:44.033722Z",
-     "iopub.status.idle": "2024-02-08T04:29:44.059752Z",
-     "shell.execute_reply": "2024-02-08T04:29:44.059305Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.157128Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.156770Z",
+     "iopub.status.idle": "2024-02-08T05:16:36.183420Z",
+     "shell.execute_reply": "2024-02-08T05:16:36.182914Z"
     }
    },
    "outputs": [],
@@ -739,10 +739,10 @@
    "id": "6ca92617",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:44.061575Z",
-     "iopub.status.busy": "2024-02-08T04:29:44.061407Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.734046Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.733523Z"
+     "iopub.execute_input": "2024-02-08T05:16:36.185904Z",
+     "iopub.status.busy": "2024-02-08T05:16:36.185669Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.003463Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.002793Z"
     }
    },
    "outputs": [],
@@ -772,10 +772,10 @@
    "id": "bf945113",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.736683Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.736217Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.742703Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.742248Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.006228Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.005857Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.012858Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.012286Z"
     },
     "scrolled": true
    },
@@ -886,10 +886,10 @@
    "id": "14251ee0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.744717Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.744395Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.756449Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.756029Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.015175Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.014963Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.028000Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.027502Z"
     }
    },
    "outputs": [
@@ -1139,10 +1139,10 @@
    "id": "efe16638",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.758369Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.757999Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.764109Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.763637Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.030095Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.029746Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.036269Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.035718Z"
     },
     "scrolled": true
    },
@@ -1316,10 +1316,10 @@
    "id": "abd0fb0b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.766108Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.765938Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.768411Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.767997Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.038467Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.038157Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.040886Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.040428Z"
     }
    },
    "outputs": [],
@@ -1341,10 +1341,10 @@
    "id": "cdf061df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.770202Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.770034Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.773298Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.772779Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.042877Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.042548Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.046125Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.045579Z"
     },
     "scrolled": true
    },
@@ -1396,10 +1396,10 @@
    "id": "08949890",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.775318Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.775018Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.777581Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.777139Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.048464Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.048004Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.050984Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.050453Z"
     }
    },
    "outputs": [],
@@ -1423,10 +1423,10 @@
    "id": "6948b073",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.779440Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.779263Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.783182Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.782669Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.052798Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.052624Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.056584Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.056047Z"
     }
    },
    "outputs": [
@@ -1481,10 +1481,10 @@
    "id": "6f8e6914",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.785161Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.784866Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.813727Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.813180Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.058708Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.058392Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.088017Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.087505Z"
     }
    },
    "outputs": [],
@@ -1527,10 +1527,10 @@
    "id": "b806d2ea",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:45.816053Z",
-     "iopub.status.busy": "2024-02-08T04:29:45.815717Z",
-     "iopub.status.idle": "2024-02-08T04:29:45.820279Z",
-     "shell.execute_reply": "2024-02-08T04:29:45.819724Z"
+     "iopub.execute_input": "2024-02-08T05:16:38.090547Z",
+     "iopub.status.busy": "2024-02-08T05:16:38.090159Z",
+     "iopub.status.idle": "2024-02-08T05:16:38.095177Z",
+     "shell.execute_reply": "2024-02-08T05:16:38.094708Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb
index b4eaced1c..321e2cd0f 100644
--- a/master/tutorials/multilabel_classification.ipynb
+++ b/master/tutorials/multilabel_classification.ipynb
@@ -64,10 +64,10 @@
    "id": "7383d024-8273-4039-bccd-aab3020d331f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:48.353289Z",
-     "iopub.status.busy": "2024-02-08T04:29:48.353111Z",
-     "iopub.status.idle": "2024-02-08T04:29:49.444617Z",
-     "shell.execute_reply": "2024-02-08T04:29:49.444025Z"
+     "iopub.execute_input": "2024-02-08T05:16:40.856017Z",
+     "iopub.status.busy": "2024-02-08T05:16:40.855833Z",
+     "iopub.status.idle": "2024-02-08T05:16:42.014133Z",
+     "shell.execute_reply": "2024-02-08T05:16:42.013543Z"
     },
     "nbsphinx": "hidden"
    },
@@ -79,7 +79,7 @@
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -105,10 +105,10 @@
    "id": "bf9101d8-b1a9-4305-b853-45aaf3d67a69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:49.447013Z",
-     "iopub.status.busy": "2024-02-08T04:29:49.446776Z",
-     "iopub.status.idle": "2024-02-08T04:29:49.635510Z",
-     "shell.execute_reply": "2024-02-08T04:29:49.635070Z"
+     "iopub.execute_input": "2024-02-08T05:16:42.016876Z",
+     "iopub.status.busy": "2024-02-08T05:16:42.016360Z",
+     "iopub.status.idle": "2024-02-08T05:16:42.218815Z",
+     "shell.execute_reply": "2024-02-08T05:16:42.218247Z"
     }
    },
    "outputs": [],
@@ -268,10 +268,10 @@
    "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:49.638063Z",
-     "iopub.status.busy": "2024-02-08T04:29:49.637575Z",
-     "iopub.status.idle": "2024-02-08T04:29:49.650235Z",
-     "shell.execute_reply": "2024-02-08T04:29:49.649787Z"
+     "iopub.execute_input": "2024-02-08T05:16:42.221496Z",
+     "iopub.status.busy": "2024-02-08T05:16:42.221090Z",
+     "iopub.status.idle": "2024-02-08T05:16:42.234145Z",
+     "shell.execute_reply": "2024-02-08T05:16:42.233583Z"
     },
     "nbsphinx": "hidden"
    },
@@ -407,10 +407,10 @@
    "id": "dac65d3b-51e8-4682-b829-beab610b56d6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:49.652052Z",
-     "iopub.status.busy": "2024-02-08T04:29:49.651879Z",
-     "iopub.status.idle": "2024-02-08T04:29:52.291472Z",
-     "shell.execute_reply": "2024-02-08T04:29:52.290880Z"
+     "iopub.execute_input": "2024-02-08T05:16:42.236297Z",
+     "iopub.status.busy": "2024-02-08T05:16:42.235977Z",
+     "iopub.status.idle": "2024-02-08T05:16:44.901042Z",
+     "shell.execute_reply": "2024-02-08T05:16:44.900491Z"
     }
    },
    "outputs": [
@@ -452,10 +452,10 @@
    "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:52.293864Z",
-     "iopub.status.busy": "2024-02-08T04:29:52.293436Z",
-     "iopub.status.idle": "2024-02-08T04:29:53.631829Z",
-     "shell.execute_reply": "2024-02-08T04:29:53.631305Z"
+     "iopub.execute_input": "2024-02-08T05:16:44.903080Z",
+     "iopub.status.busy": "2024-02-08T05:16:44.902895Z",
+     "iopub.status.idle": "2024-02-08T05:16:46.267342Z",
+     "shell.execute_reply": "2024-02-08T05:16:46.266780Z"
     }
    },
    "outputs": [],
@@ -497,10 +497,10 @@
    "id": "ac1a60df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:53.634214Z",
-     "iopub.status.busy": "2024-02-08T04:29:53.633866Z",
-     "iopub.status.idle": "2024-02-08T04:29:53.637796Z",
-     "shell.execute_reply": "2024-02-08T04:29:53.637329Z"
+     "iopub.execute_input": "2024-02-08T05:16:46.269717Z",
+     "iopub.status.busy": "2024-02-08T05:16:46.269521Z",
+     "iopub.status.idle": "2024-02-08T05:16:46.273330Z",
+     "shell.execute_reply": "2024-02-08T05:16:46.272768Z"
     }
    },
    "outputs": [
@@ -542,10 +542,10 @@
    "id": "d09115b6-ad44-474f-9c8a-85a459586439",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:53.639682Z",
-     "iopub.status.busy": "2024-02-08T04:29:53.639363Z",
-     "iopub.status.idle": "2024-02-08T04:29:55.324199Z",
-     "shell.execute_reply": "2024-02-08T04:29:55.323510Z"
+     "iopub.execute_input": "2024-02-08T05:16:46.275279Z",
+     "iopub.status.busy": "2024-02-08T05:16:46.275095Z",
+     "iopub.status.idle": "2024-02-08T05:16:48.035444Z",
+     "shell.execute_reply": "2024-02-08T05:16:48.034751Z"
     }
    },
    "outputs": [
@@ -592,10 +592,10 @@
    "id": "c18dd83b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:55.327072Z",
-     "iopub.status.busy": "2024-02-08T04:29:55.326288Z",
-     "iopub.status.idle": "2024-02-08T04:29:55.333737Z",
-     "shell.execute_reply": "2024-02-08T04:29:55.333247Z"
+     "iopub.execute_input": "2024-02-08T05:16:48.038270Z",
+     "iopub.status.busy": "2024-02-08T05:16:48.037668Z",
+     "iopub.status.idle": "2024-02-08T05:16:48.047299Z",
+     "shell.execute_reply": "2024-02-08T05:16:48.046721Z"
     }
    },
    "outputs": [
@@ -631,10 +631,10 @@
    "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:55.335798Z",
-     "iopub.status.busy": "2024-02-08T04:29:55.335474Z",
-     "iopub.status.idle": "2024-02-08T04:29:57.891579Z",
-     "shell.execute_reply": "2024-02-08T04:29:57.891036Z"
+     "iopub.execute_input": "2024-02-08T05:16:48.049551Z",
+     "iopub.status.busy": "2024-02-08T05:16:48.049235Z",
+     "iopub.status.idle": "2024-02-08T05:16:50.851686Z",
+     "shell.execute_reply": "2024-02-08T05:16:50.851097Z"
     }
    },
    "outputs": [
@@ -669,10 +669,10 @@
    "id": "c1198575",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:57.893710Z",
-     "iopub.status.busy": "2024-02-08T04:29:57.893400Z",
-     "iopub.status.idle": "2024-02-08T04:29:57.896999Z",
-     "shell.execute_reply": "2024-02-08T04:29:57.896544Z"
+     "iopub.execute_input": "2024-02-08T05:16:50.853883Z",
+     "iopub.status.busy": "2024-02-08T05:16:50.853693Z",
+     "iopub.status.idle": "2024-02-08T05:16:50.857552Z",
+     "shell.execute_reply": "2024-02-08T05:16:50.857089Z"
     }
    },
    "outputs": [
@@ -717,10 +717,10 @@
    "id": "49161b19-7625-4fb7-add9-607d91a7eca1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:57.899030Z",
-     "iopub.status.busy": "2024-02-08T04:29:57.898717Z",
-     "iopub.status.idle": "2024-02-08T04:29:57.903151Z",
-     "shell.execute_reply": "2024-02-08T04:29:57.902749Z"
+     "iopub.execute_input": "2024-02-08T05:16:50.859787Z",
+     "iopub.status.busy": "2024-02-08T05:16:50.859387Z",
+     "iopub.status.idle": "2024-02-08T05:16:50.863737Z",
+     "shell.execute_reply": "2024-02-08T05:16:50.863177Z"
     }
    },
    "outputs": [],
@@ -743,10 +743,10 @@
    "id": "d1a2c008",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:29:57.905054Z",
-     "iopub.status.busy": "2024-02-08T04:29:57.904735Z",
-     "iopub.status.idle": "2024-02-08T04:29:57.907794Z",
-     "shell.execute_reply": "2024-02-08T04:29:57.907351Z"
+     "iopub.execute_input": "2024-02-08T05:16:50.865877Z",
+     "iopub.status.busy": "2024-02-08T05:16:50.865570Z",
+     "iopub.status.idle": "2024-02-08T05:16:50.868733Z",
+     "shell.execute_reply": "2024-02-08T05:16:50.868285Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb
index a7d95ad7d..55126c31d 100644
--- a/master/tutorials/object_detection.ipynb
+++ b/master/tutorials/object_detection.ipynb
@@ -70,10 +70,10 @@
    "id": "0ba0dc70",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:00.072576Z",
-     "iopub.status.busy": "2024-02-08T04:30:00.072400Z",
-     "iopub.status.idle": "2024-02-08T04:30:01.151131Z",
-     "shell.execute_reply": "2024-02-08T04:30:01.150594Z"
+     "iopub.execute_input": "2024-02-08T05:16:53.515571Z",
+     "iopub.status.busy": "2024-02-08T05:16:53.515376Z",
+     "iopub.status.idle": "2024-02-08T05:16:54.692984Z",
+     "shell.execute_reply": "2024-02-08T05:16:54.692402Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:30:01.153731Z",
-     "iopub.status.busy": "2024-02-08T04:30:01.153297Z",
-     "iopub.status.idle": "2024-02-08T04:30:02.565179Z",
-     "shell.execute_reply": "2024-02-08T04:30:02.564498Z"
+     "iopub.execute_input": "2024-02-08T05:16:54.695708Z",
+     "iopub.status.busy": "2024-02-08T05:16:54.695183Z",
+     "iopub.status.idle": "2024-02-08T05:16:56.971954Z",
+     "shell.execute_reply": "2024-02-08T05:16:56.971232Z"
     }
    },
    "outputs": [],
@@ -130,10 +130,10 @@
    "id": "df8be4c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:02.567869Z",
-     "iopub.status.busy": "2024-02-08T04:30:02.567469Z",
-     "iopub.status.idle": "2024-02-08T04:30:02.570763Z",
-     "shell.execute_reply": "2024-02-08T04:30:02.570298Z"
+     "iopub.execute_input": "2024-02-08T05:16:56.974618Z",
+     "iopub.status.busy": "2024-02-08T05:16:56.974215Z",
+     "iopub.status.idle": "2024-02-08T05:16:56.977451Z",
+     "shell.execute_reply": "2024-02-08T05:16:56.976971Z"
     }
    },
    "outputs": [],
@@ -169,10 +169,10 @@
    "id": "2e9ffd6f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:02.572807Z",
-     "iopub.status.busy": "2024-02-08T04:30:02.572487Z",
-     "iopub.status.idle": "2024-02-08T04:30:02.578556Z",
-     "shell.execute_reply": "2024-02-08T04:30:02.578057Z"
+     "iopub.execute_input": "2024-02-08T05:16:56.979612Z",
+     "iopub.status.busy": "2024-02-08T05:16:56.979284Z",
+     "iopub.status.idle": "2024-02-08T05:16:56.985472Z",
+     "shell.execute_reply": "2024-02-08T05:16:56.984924Z"
     }
    },
    "outputs": [],
@@ -198,10 +198,10 @@
    "id": "56705562",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:02.580776Z",
-     "iopub.status.busy": "2024-02-08T04:30:02.580450Z",
-     "iopub.status.idle": "2024-02-08T04:30:03.070565Z",
-     "shell.execute_reply": "2024-02-08T04:30:03.069979Z"
+     "iopub.execute_input": "2024-02-08T05:16:56.987779Z",
+     "iopub.status.busy": "2024-02-08T05:16:56.987416Z",
+     "iopub.status.idle": "2024-02-08T05:16:57.488799Z",
+     "shell.execute_reply": "2024-02-08T05:16:57.488201Z"
     },
     "scrolled": true
    },
@@ -242,10 +242,10 @@
    "id": "b08144d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:03.073533Z",
-     "iopub.status.busy": "2024-02-08T04:30:03.073160Z",
-     "iopub.status.idle": "2024-02-08T04:30:03.078436Z",
-     "shell.execute_reply": "2024-02-08T04:30:03.077957Z"
+     "iopub.execute_input": "2024-02-08T05:16:57.491360Z",
+     "iopub.status.busy": "2024-02-08T05:16:57.491015Z",
+     "iopub.status.idle": "2024-02-08T05:16:57.496482Z",
+     "shell.execute_reply": "2024-02-08T05:16:57.495900Z"
     }
    },
    "outputs": [
@@ -497,10 +497,10 @@
    "id": "3d70bec6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:03.080496Z",
-     "iopub.status.busy": "2024-02-08T04:30:03.080241Z",
-     "iopub.status.idle": "2024-02-08T04:30:03.083913Z",
-     "shell.execute_reply": "2024-02-08T04:30:03.083409Z"
+     "iopub.execute_input": "2024-02-08T05:16:57.498525Z",
+     "iopub.status.busy": "2024-02-08T05:16:57.498273Z",
+     "iopub.status.idle": "2024-02-08T05:16:57.502766Z",
+     "shell.execute_reply": "2024-02-08T05:16:57.502239Z"
     }
    },
    "outputs": [
@@ -557,10 +557,10 @@
    "id": "4caa635d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:03.085945Z",
-     "iopub.status.busy": "2024-02-08T04:30:03.085650Z",
-     "iopub.status.idle": "2024-02-08T04:30:03.803366Z",
-     "shell.execute_reply": "2024-02-08T04:30:03.802737Z"
+     "iopub.execute_input": "2024-02-08T05:16:57.505115Z",
+     "iopub.status.busy": "2024-02-08T05:16:57.504739Z",
+     "iopub.status.idle": "2024-02-08T05:16:58.169542Z",
+     "shell.execute_reply": "2024-02-08T05:16:58.168969Z"
     }
    },
    "outputs": [
@@ -616,10 +616,10 @@
    "id": "a9b4c590",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:03.805530Z",
-     "iopub.status.busy": "2024-02-08T04:30:03.805328Z",
-     "iopub.status.idle": "2024-02-08T04:30:03.997894Z",
-     "shell.execute_reply": "2024-02-08T04:30:03.997434Z"
+     "iopub.execute_input": "2024-02-08T05:16:58.171773Z",
+     "iopub.status.busy": "2024-02-08T05:16:58.171556Z",
+     "iopub.status.idle": "2024-02-08T05:16:58.345846Z",
+     "shell.execute_reply": "2024-02-08T05:16:58.345282Z"
     }
    },
    "outputs": [
@@ -660,10 +660,10 @@
    "id": "ffd9ebcc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:04.000019Z",
-     "iopub.status.busy": "2024-02-08T04:30:03.999818Z",
-     "iopub.status.idle": "2024-02-08T04:30:04.004151Z",
-     "shell.execute_reply": "2024-02-08T04:30:04.003695Z"
+     "iopub.execute_input": "2024-02-08T05:16:58.348393Z",
+     "iopub.status.busy": "2024-02-08T05:16:58.347973Z",
+     "iopub.status.idle": "2024-02-08T05:16:58.352484Z",
+     "shell.execute_reply": "2024-02-08T05:16:58.351962Z"
     }
    },
    "outputs": [
@@ -700,10 +700,10 @@
    "id": "4dd46d67",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:04.006153Z",
-     "iopub.status.busy": "2024-02-08T04:30:04.005847Z",
-     "iopub.status.idle": "2024-02-08T04:30:04.453260Z",
-     "shell.execute_reply": "2024-02-08T04:30:04.452625Z"
+     "iopub.execute_input": "2024-02-08T05:16:58.354696Z",
+     "iopub.status.busy": "2024-02-08T05:16:58.354301Z",
+     "iopub.status.idle": "2024-02-08T05:16:58.825617Z",
+     "shell.execute_reply": "2024-02-08T05:16:58.824990Z"
     }
    },
    "outputs": [
@@ -762,10 +762,10 @@
    "id": "ceec2394",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:04.455432Z",
-     "iopub.status.busy": "2024-02-08T04:30:04.455094Z",
-     "iopub.status.idle": "2024-02-08T04:30:04.785572Z",
-     "shell.execute_reply": "2024-02-08T04:30:04.785061Z"
+     "iopub.execute_input": "2024-02-08T05:16:58.828381Z",
+     "iopub.status.busy": "2024-02-08T05:16:58.828004Z",
+     "iopub.status.idle": "2024-02-08T05:16:59.167061Z",
+     "shell.execute_reply": "2024-02-08T05:16:59.166481Z"
     }
    },
    "outputs": [
@@ -812,10 +812,10 @@
    "id": "94f82b0d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:04.787885Z",
-     "iopub.status.busy": "2024-02-08T04:30:04.787540Z",
-     "iopub.status.idle": "2024-02-08T04:30:05.150648Z",
-     "shell.execute_reply": "2024-02-08T04:30:05.150060Z"
+     "iopub.execute_input": "2024-02-08T05:16:59.169884Z",
+     "iopub.status.busy": "2024-02-08T05:16:59.169506Z",
+     "iopub.status.idle": "2024-02-08T05:16:59.539761Z",
+     "shell.execute_reply": "2024-02-08T05:16:59.539127Z"
     }
    },
    "outputs": [
@@ -862,10 +862,10 @@
    "id": "1ea18c5d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:05.153992Z",
-     "iopub.status.busy": "2024-02-08T04:30:05.153625Z",
-     "iopub.status.idle": "2024-02-08T04:30:05.568258Z",
-     "shell.execute_reply": "2024-02-08T04:30:05.567723Z"
+     "iopub.execute_input": "2024-02-08T05:16:59.542851Z",
+     "iopub.status.busy": "2024-02-08T05:16:59.542457Z",
+     "iopub.status.idle": "2024-02-08T05:16:59.990032Z",
+     "shell.execute_reply": "2024-02-08T05:16:59.989412Z"
     }
    },
    "outputs": [
@@ -925,10 +925,10 @@
    "id": "7e770d23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:05.572539Z",
-     "iopub.status.busy": "2024-02-08T04:30:05.572099Z",
-     "iopub.status.idle": "2024-02-08T04:30:06.017524Z",
-     "shell.execute_reply": "2024-02-08T04:30:06.016975Z"
+     "iopub.execute_input": "2024-02-08T05:16:59.994566Z",
+     "iopub.status.busy": "2024-02-08T05:16:59.994002Z",
+     "iopub.status.idle": "2024-02-08T05:17:00.455591Z",
+     "shell.execute_reply": "2024-02-08T05:17:00.454958Z"
     }
    },
    "outputs": [
@@ -971,10 +971,10 @@
    "id": "57e84a27",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:06.020497Z",
-     "iopub.status.busy": "2024-02-08T04:30:06.020166Z",
-     "iopub.status.idle": "2024-02-08T04:30:06.234814Z",
-     "shell.execute_reply": "2024-02-08T04:30:06.234375Z"
+     "iopub.execute_input": "2024-02-08T05:17:00.458928Z",
+     "iopub.status.busy": "2024-02-08T05:17:00.458572Z",
+     "iopub.status.idle": "2024-02-08T05:17:00.677651Z",
+     "shell.execute_reply": "2024-02-08T05:17:00.677072Z"
     }
    },
    "outputs": [
@@ -1017,10 +1017,10 @@
    "id": "0302818a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:06.237004Z",
-     "iopub.status.busy": "2024-02-08T04:30:06.236672Z",
-     "iopub.status.idle": "2024-02-08T04:30:06.434144Z",
-     "shell.execute_reply": "2024-02-08T04:30:06.433613Z"
+     "iopub.execute_input": "2024-02-08T05:17:00.680076Z",
+     "iopub.status.busy": "2024-02-08T05:17:00.679705Z",
+     "iopub.status.idle": "2024-02-08T05:17:00.882051Z",
+     "shell.execute_reply": "2024-02-08T05:17:00.881407Z"
     }
    },
    "outputs": [
@@ -1067,10 +1067,10 @@
    "id": "5cacec81-2adf-46a8-82c5-7ec0185d4356",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:06.436337Z",
-     "iopub.status.busy": "2024-02-08T04:30:06.436003Z",
-     "iopub.status.idle": "2024-02-08T04:30:06.438847Z",
-     "shell.execute_reply": "2024-02-08T04:30:06.438407Z"
+     "iopub.execute_input": "2024-02-08T05:17:00.885010Z",
+     "iopub.status.busy": "2024-02-08T05:17:00.884519Z",
+     "iopub.status.idle": "2024-02-08T05:17:00.887731Z",
+     "shell.execute_reply": "2024-02-08T05:17:00.887166Z"
     }
    },
    "outputs": [],
@@ -1090,10 +1090,10 @@
    "id": "3335b8a3-d0b4-415a-a97d-c203088a124e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:06.440735Z",
-     "iopub.status.busy": "2024-02-08T04:30:06.440417Z",
-     "iopub.status.idle": "2024-02-08T04:30:07.319773Z",
-     "shell.execute_reply": "2024-02-08T04:30:07.319187Z"
+     "iopub.execute_input": "2024-02-08T05:17:00.889952Z",
+     "iopub.status.busy": "2024-02-08T05:17:00.889687Z",
+     "iopub.status.idle": "2024-02-08T05:17:01.918413Z",
+     "shell.execute_reply": "2024-02-08T05:17:01.917826Z"
     }
    },
    "outputs": [
@@ -1172,10 +1172,10 @@
    "id": "9d4b7677-6ebd-447d-b0a1-76e094686628",
    "metadata": {
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-     "iopub.execute_input": "2024-02-08T04:30:07.322027Z",
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@@ -1113,16 +1711,16 @@ 
    2. Pre-process the Cifar10 dataset
    
 
 
    
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@@ -1272,7 +1870,7 @@ 
    3. Use cleanlab and feature embeddings to find outliers in the data
 
    
 
    
-
    
+
 
 
    
 
    
@@ -1493,7 +2091,7 @@ 
    4. Use cleanlab and here.
    
 
 
  
diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb
index 65c66de70..d3b8139b6 100644
--- a/master/tutorials/outliers.ipynb
+++ b/master/tutorials/outliers.ipynb
@@ -109,10 +109,10 @@
    "id": "2bbebfc8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:10.403237Z",
-     "iopub.status.busy": "2024-02-08T04:30:10.403065Z",
-     "iopub.status.idle": "2024-02-08T04:30:13.024182Z",
-     "shell.execute_reply": "2024-02-08T04:30:13.023553Z"
+     "iopub.execute_input": "2024-02-08T05:17:05.426264Z",
+     "iopub.status.busy": "2024-02-08T05:17:05.425848Z",
+     "iopub.status.idle": "2024-02-08T05:17:08.282874Z",
+     "shell.execute_reply": "2024-02-08T05:17:08.282291Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:30:13.026721Z",
-     "iopub.status.busy": "2024-02-08T04:30:13.026419Z",
-     "iopub.status.idle": "2024-02-08T04:30:13.342311Z",
-     "shell.execute_reply": "2024-02-08T04:30:13.341724Z"
+     "iopub.execute_input": "2024-02-08T05:17:08.285746Z",
+     "iopub.status.busy": "2024-02-08T05:17:08.285258Z",
+     "iopub.status.idle": "2024-02-08T05:17:08.637966Z",
+     "shell.execute_reply": "2024-02-08T05:17:08.637382Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
    "id": "3792f82e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:13.344795Z",
-     "iopub.status.busy": "2024-02-08T04:30:13.344495Z",
-     "iopub.status.idle": "2024-02-08T04:30:13.348857Z",
-     "shell.execute_reply": "2024-02-08T04:30:13.348325Z"
+     "iopub.execute_input": "2024-02-08T05:17:08.640554Z",
+     "iopub.status.busy": "2024-02-08T05:17:08.640185Z",
+     "iopub.status.idle": "2024-02-08T05:17:08.644567Z",
+     "shell.execute_reply": "2024-02-08T05:17:08.644001Z"
     },
     "nbsphinx": "hidden"
    },
@@ -225,10 +225,10 @@
    "id": "fd853a54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:30:13.351075Z",
-     "iopub.status.busy": "2024-02-08T04:30:13.350701Z",
-     "iopub.status.idle": "2024-02-08T04:30:17.722194Z",
-     "shell.execute_reply": "2024-02-08T04:30:17.721653Z"
+     "iopub.execute_input": "2024-02-08T05:17:08.646865Z",
+     "iopub.status.busy": "2024-02-08T05:17:08.646554Z",
+     "iopub.status.idle": "2024-02-08T05:17:15.879028Z",
+     "shell.execute_reply": "2024-02-08T05:17:15.878437Z"
     }
    },
    "outputs": [
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+      "  0%|          | 32768/170498071 [00:00<11:11, 253804.05it/s]"
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      "output_type": "stream",
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@@ -364,7 +364,7 @@
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@@ -490,10 +674,10 @@
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@@ -965,10 +1149,10 @@
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@@ -989,10 +1173,10 @@
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@@ -1029,10 +1213,10 @@
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@@ -1063,10 +1247,10 @@
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@@ -1080,10 +1264,10 @@
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@@ -1105,10 +1289,10 @@
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@@ -1153,30 +1337,33 @@
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        "_model_module_version": "2.0.0",
-       "_model_name": "HTMLModel",
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        "_view_module": "@jupyter-widgets/controls",
        "_view_module_version": "2.0.0",
-       "_view_name": "HTMLView",
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        "description_allow_html": false,
-       "layout": "IPY_MODEL_8291224fafb44311a21cd1a944c03a26",
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diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb
index ff8035f20..c13537792 100644
--- a/master/tutorials/regression.ipynb
+++ b/master/tutorials/regression.ipynb
@@ -94,10 +94,10 @@
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@@ -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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n",
     "    cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
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@@ -565,10 +565,10 @@
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@@ -936,10 +936,10 @@
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@@ -995,10 +995,10 @@
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diff --git a/master/tutorials/segmentation.html b/master/tutorials/segmentation.html
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diff --git a/master/tutorials/segmentation.ipynb b/master/tutorials/segmentation.ipynb
index 282a261ca..50fa2ea52 100644
--- a/master/tutorials/segmentation.ipynb
+++ b/master/tutorials/segmentation.ipynb
@@ -61,10 +61,10 @@
    "id": "ae8a08e0",
    "metadata": {
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-     "iopub.execute_input": "2024-02-08T04:31:04.090778Z",
-     "iopub.status.busy": "2024-02-08T04:31:04.090311Z",
-     "iopub.status.idle": "2024-02-08T04:31:06.685136Z",
-     "shell.execute_reply": "2024-02-08T04:31:06.684460Z"
+     "iopub.execute_input": "2024-02-08T05:18:06.194836Z",
+     "iopub.status.busy": "2024-02-08T05:18:06.194464Z",
+     "iopub.status.idle": "2024-02-08T05:18:11.509123Z",
+     "shell.execute_reply": "2024-02-08T05:18:11.508442Z"
     }
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    "outputs": [],
@@ -79,10 +79,10 @@
    "id": "58fd4c55",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:31:06.687749Z",
-     "iopub.status.busy": "2024-02-08T04:31:06.687374Z",
-     "iopub.status.idle": "2024-02-08T04:32:33.192723Z",
-     "shell.execute_reply": "2024-02-08T04:32:33.192050Z"
+     "iopub.execute_input": "2024-02-08T05:18:11.511765Z",
+     "iopub.status.busy": "2024-02-08T05:18:11.511386Z",
+     "iopub.status.idle": "2024-02-08T05:19:01.334173Z",
+     "shell.execute_reply": "2024-02-08T05:19:01.333418Z"
     }
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    "outputs": [],
@@ -97,10 +97,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:32:33.195218Z",
-     "iopub.status.busy": "2024-02-08T04:32:33.194983Z",
-     "iopub.status.idle": "2024-02-08T04:32:34.284442Z",
-     "shell.execute_reply": "2024-02-08T04:32:34.283882Z"
+     "iopub.execute_input": "2024-02-08T05:19:01.337024Z",
+     "iopub.status.busy": "2024-02-08T05:19:01.336645Z",
+     "iopub.status.idle": "2024-02-08T05:19:02.446829Z",
+     "shell.execute_reply": "2024-02-08T05:19:02.446265Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -137,10 +137,10 @@
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-     "iopub.execute_input": "2024-02-08T04:32:34.287010Z",
-     "iopub.status.busy": "2024-02-08T04:32:34.286715Z",
-     "iopub.status.idle": "2024-02-08T04:32:34.289859Z",
-     "shell.execute_reply": "2024-02-08T04:32:34.289423Z"
+     "iopub.execute_input": "2024-02-08T05:19:02.449563Z",
+     "iopub.status.busy": "2024-02-08T05:19:02.449077Z",
+     "iopub.status.idle": "2024-02-08T05:19:02.452514Z",
+     "shell.execute_reply": "2024-02-08T05:19:02.451942Z"
     }
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    "outputs": [],
@@ -203,10 +203,10 @@
    "id": "07dc5678",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:32:34.291762Z",
-     "iopub.status.busy": "2024-02-08T04:32:34.291582Z",
-     "iopub.status.idle": "2024-02-08T04:32:34.295486Z",
-     "shell.execute_reply": "2024-02-08T04:32:34.295037Z"
+     "iopub.execute_input": "2024-02-08T05:19:02.454973Z",
+     "iopub.status.busy": "2024-02-08T05:19:02.454564Z",
+     "iopub.status.idle": "2024-02-08T05:19:02.458751Z",
+     "shell.execute_reply": "2024-02-08T05:19:02.458289Z"
     }
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    "outputs": [
@@ -247,10 +247,10 @@
    "id": "25ebe22a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:32:34.297355Z",
-     "iopub.status.busy": "2024-02-08T04:32:34.297179Z",
-     "iopub.status.idle": "2024-02-08T04:32:34.300716Z",
-     "shell.execute_reply": "2024-02-08T04:32:34.300269Z"
+     "iopub.execute_input": "2024-02-08T05:19:02.461004Z",
+     "iopub.status.busy": "2024-02-08T05:19:02.460655Z",
+     "iopub.status.idle": "2024-02-08T05:19:02.464367Z",
+     "shell.execute_reply": "2024-02-08T05:19:02.463921Z"
     }
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    "outputs": [
@@ -290,10 +290,10 @@
    "id": "3faedea9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:32:34.302700Z",
-     "iopub.status.busy": "2024-02-08T04:32:34.302414Z",
-     "iopub.status.idle": "2024-02-08T04:32:34.305247Z",
-     "shell.execute_reply": "2024-02-08T04:32:34.304818Z"
+     "iopub.execute_input": "2024-02-08T05:19:02.466454Z",
+     "iopub.status.busy": "2024-02-08T05:19:02.466133Z",
+     "iopub.status.idle": "2024-02-08T05:19:02.468853Z",
+     "shell.execute_reply": "2024-02-08T05:19:02.468435Z"
     }
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    "outputs": [],
@@ -333,17 +333,17 @@
    "id": "2c2ad9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:32:34.307210Z",
-     "iopub.status.busy": "2024-02-08T04:32:34.306903Z",
-     "iopub.status.idle": "2024-02-08T04:33:50.468781Z",
-     "shell.execute_reply": "2024-02-08T04:33:50.468192Z"
+     "iopub.execute_input": "2024-02-08T05:19:02.470767Z",
+     "iopub.status.busy": "2024-02-08T05:19:02.470482Z",
+     "iopub.status.idle": "2024-02-08T05:20:19.455463Z",
+     "shell.execute_reply": "2024-02-08T05:20:19.454724Z"
     }
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    "outputs": [
     {
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-       "model_id": "633c79ed95ab41e0aabbd57dbd3ecb08",
+       "model_id": "c8c2e28ad93b4bdd9fc175ec25c69050",
        "version_major": 2,
        "version_minor": 0
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@@ -357,7 +357,7 @@
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-       "model_id": "7cc6878891b34dc6b9eee074c27b9942",
+       "model_id": "ea58fb54e03a45d5b2072a4db0195034",
        "version_major": 2,
        "version_minor": 0
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@@ -400,10 +400,10 @@
    "id": "95dc7268",
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-     "iopub.execute_input": "2024-02-08T04:33:50.471202Z",
-     "iopub.status.busy": "2024-02-08T04:33:50.471016Z",
-     "iopub.status.idle": "2024-02-08T04:33:51.129982Z",
-     "shell.execute_reply": "2024-02-08T04:33:51.129389Z"
+     "iopub.execute_input": "2024-02-08T05:20:19.458139Z",
+     "iopub.status.busy": "2024-02-08T05:20:19.457915Z",
+     "iopub.status.idle": "2024-02-08T05:20:20.138783Z",
+     "shell.execute_reply": "2024-02-08T05:20:20.138296Z"
     }
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    "outputs": [
@@ -446,10 +446,10 @@
    "id": "57fed473",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:33:51.132369Z",
-     "iopub.status.busy": "2024-02-08T04:33:51.131864Z",
-     "iopub.status.idle": "2024-02-08T04:33:53.739824Z",
-     "shell.execute_reply": "2024-02-08T04:33:53.739233Z"
+     "iopub.execute_input": "2024-02-08T05:20:20.141021Z",
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@@ -519,10 +519,10 @@
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diff --git a/master/tutorials/tabular.ipynb b/master/tutorials/tabular.ipynb
index 2936ca8bb..b9ef97a18 100644
--- a/master/tutorials/tabular.ipynb
+++ b/master/tutorials/tabular.ipynb
@@ -112,10 +112,10 @@
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@@ -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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n",
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@@ -304,10 +304,10 @@
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@@ -328,10 +328,10 @@
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+     "iopub.execute_input": "2024-02-08T05:21:28.090816Z",
+     "iopub.status.busy": "2024-02-08T05:21:28.090483Z",
+     "iopub.status.idle": "2024-02-08T05:21:28.098465Z",
+     "shell.execute_reply": "2024-02-08T05:21:28.098061Z"
     }
    },
    "outputs": [],
@@ -383,10 +383,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:57.300467Z",
-     "iopub.status.busy": "2024-02-08T04:34:57.300291Z",
-     "iopub.status.idle": "2024-02-08T04:34:57.302706Z",
-     "shell.execute_reply": "2024-02-08T04:34:57.302290Z"
+     "iopub.execute_input": "2024-02-08T05:21:28.100552Z",
+     "iopub.status.busy": "2024-02-08T05:21:28.100251Z",
+     "iopub.status.idle": "2024-02-08T05:21:28.102793Z",
+     "shell.execute_reply": "2024-02-08T05:21:28.102365Z"
     }
    },
    "outputs": [],
@@ -408,10 +408,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:57.304634Z",
-     "iopub.status.busy": "2024-02-08T04:34:57.304375Z",
-     "iopub.status.idle": "2024-02-08T04:34:57.820042Z",
-     "shell.execute_reply": "2024-02-08T04:34:57.819446Z"
+     "iopub.execute_input": "2024-02-08T05:21:28.104759Z",
+     "iopub.status.busy": "2024-02-08T05:21:28.104437Z",
+     "iopub.status.idle": "2024-02-08T05:21:28.627194Z",
+     "shell.execute_reply": "2024-02-08T05:21:28.626590Z"
     }
    },
    "outputs": [],
@@ -445,10 +445,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:57.822290Z",
-     "iopub.status.busy": "2024-02-08T04:34:57.822100Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.439361Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.438712Z"
+     "iopub.execute_input": "2024-02-08T05:21:28.629718Z",
+     "iopub.status.busy": "2024-02-08T05:21:28.629519Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.345006Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.344349Z"
     }
    },
    "outputs": [
@@ -480,10 +480,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.441941Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.441397Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.451265Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.450745Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.347698Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.347087Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.357476Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.357044Z"
     }
    },
    "outputs": [
@@ -604,10 +604,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.453333Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.453038Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.456989Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.456463Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.359601Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.359266Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.363308Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.362856Z"
     }
    },
    "outputs": [],
@@ -632,10 +632,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.458991Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.458687Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.465944Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.465410Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.365471Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.365138Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.372669Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.372107Z"
     }
    },
    "outputs": [],
@@ -657,10 +657,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.468039Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.467734Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.578269Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.577713Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.374752Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.374445Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.486095Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.485529Z"
     }
    },
    "outputs": [
@@ -690,10 +690,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.580205Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.579900Z",
-     "iopub.status.idle": "2024-02-08T04:34:59.582454Z",
-     "shell.execute_reply": "2024-02-08T04:34:59.582023Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.488417Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.488030Z",
+     "iopub.status.idle": "2024-02-08T05:21:30.490919Z",
+     "shell.execute_reply": "2024-02-08T05:21:30.490384Z"
     }
    },
    "outputs": [],
@@ -714,10 +714,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:34:59.584391Z",
-     "iopub.status.busy": "2024-02-08T04:34:59.584095Z",
-     "iopub.status.idle": "2024-02-08T04:35:01.501613Z",
-     "shell.execute_reply": "2024-02-08T04:35:01.500883Z"
+     "iopub.execute_input": "2024-02-08T05:21:30.493045Z",
+     "iopub.status.busy": "2024-02-08T05:21:30.492674Z",
+     "iopub.status.idle": "2024-02-08T05:21:32.504865Z",
+     "shell.execute_reply": "2024-02-08T05:21:32.504227Z"
     }
    },
    "outputs": [],
@@ -737,10 +737,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:01.504393Z",
-     "iopub.status.busy": "2024-02-08T04:35:01.503839Z",
-     "iopub.status.idle": "2024-02-08T04:35:01.514594Z",
-     "shell.execute_reply": "2024-02-08T04:35:01.514050Z"
+     "iopub.execute_input": "2024-02-08T05:21:32.507962Z",
+     "iopub.status.busy": "2024-02-08T05:21:32.507270Z",
+     "iopub.status.idle": "2024-02-08T05:21:32.519238Z",
+     "shell.execute_reply": "2024-02-08T05:21:32.518685Z"
     }
    },
    "outputs": [
@@ -770,10 +770,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:01.516381Z",
-     "iopub.status.busy": "2024-02-08T04:35:01.516208Z",
-     "iopub.status.idle": "2024-02-08T04:35:01.562095Z",
-     "shell.execute_reply": "2024-02-08T04:35:01.561636Z"
+     "iopub.execute_input": "2024-02-08T05:21:32.521281Z",
+     "iopub.status.busy": "2024-02-08T05:21:32.521095Z",
+     "iopub.status.idle": "2024-02-08T05:21:32.670893Z",
+     "shell.execute_reply": "2024-02-08T05:21:32.670418Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/text.html b/master/tutorials/text.html
index 469861760..792189737 100644
--- a/master/tutorials/text.html
+++ b/master/tutorials/text.html
@@ -732,7 +732,7 @@ 
    2. Load and format the text dataset
 
     This dataset has 10 classes.
-Classes: {'change_pin', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'cancel_transfer', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'visa_or_mastercard', 'getting_spare_card', 'card_about_to_expire'}
+Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'visa_or_mastercard', 'supported_cards_and_currencies', 'card_about_to_expire', 'cancel_transfer', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'change_pin', 'getting_spare_card'}
 
    
 
 
    Let’s print the first example in the train set.
    
diff --git a/master/tutorials/text.ipynb b/master/tutorials/text.ipynb
index d24d88255..e6bc10dc9 100644
--- a/master/tutorials/text.ipynb
+++ b/master/tutorials/text.ipynb
@@ -114,10 +114,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:04.398007Z",
-     "iopub.status.busy": "2024-02-08T04:35:04.397665Z",
-     "iopub.status.idle": "2024-02-08T04:35:06.939373Z",
-     "shell.execute_reply": "2024-02-08T04:35:06.938787Z"
+     "iopub.execute_input": "2024-02-08T05:21:36.479014Z",
+     "iopub.status.busy": "2024-02-08T05:21:36.478839Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.260693Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.260048Z"
     },
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\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": "2024-02-08T04:35:06.942203Z",
-     "iopub.status.busy": "2024-02-08T04:35:06.941711Z",
-     "iopub.status.idle": "2024-02-08T04:35:06.945187Z",
-     "shell.execute_reply": "2024-02-08T04:35:06.944736Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.263272Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.262890Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.266644Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.266095Z"
     }
    },
    "outputs": [],
@@ -184,10 +184,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:06.947082Z",
-     "iopub.status.busy": "2024-02-08T04:35:06.946758Z",
-     "iopub.status.idle": "2024-02-08T04:35:06.949800Z",
-     "shell.execute_reply": "2024-02-08T04:35:06.949361Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.268836Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.268440Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.271716Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.271145Z"
     },
     "nbsphinx": "hidden"
    },
@@ -218,10 +218,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:06.951625Z",
-     "iopub.status.busy": "2024-02-08T04:35:06.951369Z",
-     "iopub.status.idle": "2024-02-08T04:35:06.997911Z",
-     "shell.execute_reply": "2024-02-08T04:35:06.997500Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.273756Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.273496Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.431458Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.430885Z"
     }
    },
    "outputs": [
@@ -311,10 +311,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:06.999896Z",
-     "iopub.status.busy": "2024-02-08T04:35:06.999613Z",
-     "iopub.status.idle": "2024-02-08T04:35:07.003072Z",
-     "shell.execute_reply": "2024-02-08T04:35:07.002534Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.433686Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.433349Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.436960Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.436501Z"
     }
    },
    "outputs": [],
@@ -329,10 +329,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:07.004956Z",
-     "iopub.status.busy": "2024-02-08T04:35:07.004665Z",
-     "iopub.status.idle": "2024-02-08T04:35:07.007970Z",
-     "shell.execute_reply": "2024-02-08T04:35:07.007435Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.438986Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.438652Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.442126Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.441657Z"
     }
    },
    "outputs": [
@@ -341,7 +341,7 @@
      "output_type": "stream",
      "text": [
       "This dataset has 10 classes.\n",
-      "Classes: {'change_pin', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'cancel_transfer', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'visa_or_mastercard', 'getting_spare_card', 'card_about_to_expire'}\n"
+      "Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'visa_or_mastercard', 'supported_cards_and_currencies', 'card_about_to_expire', 'cancel_transfer', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'change_pin', 'getting_spare_card'}\n"
      ]
     }
    ],
@@ -364,10 +364,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:07.009913Z",
-     "iopub.status.busy": "2024-02-08T04:35:07.009601Z",
-     "iopub.status.idle": "2024-02-08T04:35:07.012666Z",
-     "shell.execute_reply": "2024-02-08T04:35:07.012208Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.444139Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.443815Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.446990Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.446538Z"
     }
    },
    "outputs": [
@@ -408,10 +408,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:07.014589Z",
-     "iopub.status.busy": "2024-02-08T04:35:07.014274Z",
-     "iopub.status.idle": "2024-02-08T04:35:07.017484Z",
-     "shell.execute_reply": "2024-02-08T04:35:07.017043Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.449158Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.448790Z",
+     "iopub.status.idle": "2024-02-08T05:21:39.452098Z",
+     "shell.execute_reply": "2024-02-08T05:21:39.451644Z"
     }
    },
    "outputs": [],
@@ -452,10 +452,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:07.019577Z",
-     "iopub.status.busy": "2024-02-08T04:35:07.019165Z",
-     "iopub.status.idle": "2024-02-08T04:35:10.758978Z",
-     "shell.execute_reply": "2024-02-08T04:35:10.758450Z"
+     "iopub.execute_input": "2024-02-08T05:21:39.454177Z",
+     "iopub.status.busy": "2024-02-08T05:21:39.453859Z",
+     "iopub.status.idle": "2024-02-08T05:21:43.818413Z",
+     "shell.execute_reply": "2024-02-08T05:21:43.817812Z"
     }
    },
    "outputs": [
@@ -510,10 +510,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:10.761717Z",
-     "iopub.status.busy": "2024-02-08T04:35:10.761342Z",
-     "iopub.status.idle": "2024-02-08T04:35:10.764293Z",
-     "shell.execute_reply": "2024-02-08T04:35:10.763801Z"
+     "iopub.execute_input": "2024-02-08T05:21:43.821245Z",
+     "iopub.status.busy": "2024-02-08T05:21:43.820824Z",
+     "iopub.status.idle": "2024-02-08T05:21:43.824334Z",
+     "shell.execute_reply": "2024-02-08T05:21:43.823797Z"
     }
    },
    "outputs": [],
@@ -535,10 +535,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:10.766209Z",
-     "iopub.status.busy": "2024-02-08T04:35:10.765897Z",
-     "iopub.status.idle": "2024-02-08T04:35:10.768449Z",
-     "shell.execute_reply": "2024-02-08T04:35:10.768026Z"
+     "iopub.execute_input": "2024-02-08T05:21:43.826165Z",
+     "iopub.status.busy": "2024-02-08T05:21:43.825990Z",
+     "iopub.status.idle": "2024-02-08T05:21:43.828635Z",
+     "shell.execute_reply": "2024-02-08T05:21:43.828168Z"
     }
    },
    "outputs": [],
@@ -553,10 +553,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:10.770307Z",
-     "iopub.status.busy": "2024-02-08T04:35:10.769984Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.014309Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.013691Z"
+     "iopub.execute_input": "2024-02-08T05:21:43.830526Z",
+     "iopub.status.busy": "2024-02-08T05:21:43.830206Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.180921Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.180150Z"
     },
     "scrolled": true
    },
@@ -579,10 +579,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.017176Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.016589Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.024329Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.023868Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.184093Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.183446Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.191352Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.190879Z"
     }
    },
    "outputs": [
@@ -683,10 +683,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.026211Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.026031Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.030054Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.029615Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.193506Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.193111Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.197017Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.196578Z"
     }
    },
    "outputs": [],
@@ -700,10 +700,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.031935Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.031746Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.034748Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.034239Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.198840Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.198669Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.201986Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.201534Z"
     }
    },
    "outputs": [
@@ -738,10 +738,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.036619Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.036448Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.039213Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.038788Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.203999Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.203703Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.206673Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.206231Z"
     }
    },
    "outputs": [],
@@ -761,10 +761,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.041004Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.040835Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.047467Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.047008Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.208666Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.208364Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.215877Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.215417Z"
     }
    },
    "outputs": [
@@ -889,10 +889,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.049366Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.049196Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.273122Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.272656Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.217922Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.217631Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.445403Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.444769Z"
     },
     "scrolled": true
    },
@@ -931,10 +931,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.275446Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.275087Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.485654Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.485184Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.447993Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.447582Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.623478Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.622935Z"
     },
     "scrolled": true
    },
@@ -967,10 +967,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:13.488027Z",
-     "iopub.status.busy": "2024-02-08T04:35:13.487654Z",
-     "iopub.status.idle": "2024-02-08T04:35:13.491219Z",
-     "shell.execute_reply": "2024-02-08T04:35:13.490753Z"
+     "iopub.execute_input": "2024-02-08T05:21:46.626118Z",
+     "iopub.status.busy": "2024-02-08T05:21:46.625719Z",
+     "iopub.status.idle": "2024-02-08T05:21:46.629542Z",
+     "shell.execute_reply": "2024-02-08T05:21:46.629055Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html
index 5d2359635..cbe77b31e 100644
--- a/master/tutorials/token_classification.html
+++ b/master/tutorials/token_classification.html
@@ -625,7 +625,7 @@ 
    1. Install required dependencies and download data
 
    
 
    ---2024-02-08 04:35:16--  https://data.deepai.org/conll2003.zip
+--2024-02-08 05:21:50--  https://data.deepai.org/conll2003.zip
 Resolving data.deepai.org (data.deepai.org)...
 
    
 
@@ -634,9 +634,17 @@ 
    1. Install required dependencies and download data
 
    
 
    -185.93.1.250, 2400:52e0:1a00::718:1
-Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.
-HTTP request sent, awaiting response... 200 OK
+143.244.50.89, 2400:52e0:1a01::954:1
+Connecting to data.deepai.org (data.deepai.org)|143.244.50.89|:443... connected.
+HTTP request sent, awaiting response...
+
    
+
+
    
+
    
+
    
+
    
+
    +200 OK
 Length: 982975 (960K) [application/zip]
 Saving to: ‘conll2003.zip’
    
 
    
@@ -657,25 +665,25 @@ 
    1. Install required dependencies and download data
 
    
 
-
    conll2003.zip       100%[===================&gt;] 959.94K  –.-KB/s    in 0.1s
    
+
    conll2003.zip       100%[===================&gt;] 959.94K  4.92MB/s    in 0.2s
    
 
    
 
    
-
    2024-02-08 04:35:16 (6.64 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
+
    2024-02-08 05:21:51 (4.92 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
 
    mkdir: cannot create directory ‘data’: File exists
 </pre>
    
 
    
 
    
-
    conll2003.zip       100%[===================>] 959.94K  –.-KB/s    in 0.1s
    
+
    conll2003.zip       100%[===================>] 959.94K  4.92MB/s    in 0.2s
    
 
    
 
    
-
    2024-02-08 04:35:16 (6.64 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
+
    2024-02-08 05:21:51 (4.92 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
 
    mkdir: cannot create directory ‘data’: File exists
 end{sphinxVerbatim}
    
 
    
 
    
-
    conll2003.zip       100%[===================>] 959.94K  –.-KB/s    in 0.1s
    
+
    conll2003.zip       100%[===================>] 959.94K  4.92MB/s    in 0.2s
    
 
    
-
    2024-02-08 04:35:16 (6.64 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
+
    2024-02-08 05:21:51 (4.92 MB/s) - ‘conll2003.zip’ saved [982975/982975]
    
 
    mkdir: cannot create directory ‘data’: File exists
    
 
    
 
    
@@ -695,9 +703,17 @@ 
    1. Install required dependencies and download data
 
    
 
    ---2024-02-08 04:35:17--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz
-Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 16.182.32.209, 52.216.241.92, 52.217.130.65, ...
-Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|16.182.32.209|:443... connected.
+--2024-02-08 05:21:51--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz
+Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.109.243, 52.216.165.75, 52.216.36.145, ...
+Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.109.243|:443...
+
    
+
    
+
    
+
    
+
    
+
    
+
    +connected.
 
    
 
    
 
    
@@ -735,39 +751,59 @@ 
    1. Install required dependencies and download data
    
 
 
    
-
    pred_probs.npz       63%[===========&gt;        ]  10.25M  51.1MB/s
    
+
    pred_probs.npz        1%[                    ] 193.53K   925KB/s
    
+
    </pre>
    
+
    
+
    
+
    pred_probs.npz        1%[                    ] 193.53K   925KB/s
    
+
    end{sphinxVerbatim}
    
+
    
+
    
+
    
+
    pred_probs.npz        1%[                    ] 193.53K   925KB/s
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    
+
    pred_probs.npz       20%[===&gt;                ]   3.38M  8.07MB/s
    
 
    </pre>
    
 
    
 
    
-
    pred_probs.npz       63%[===========>        ]  10.25M  51.1MB/s
    
+
    pred_probs.npz       20%[===>                ]   3.38M  8.07MB/s
    
 
    end{sphinxVerbatim}
    
 
    
 
    
 
    
-
    pred_probs.npz       63%[===========>        ]  10.25M  51.1MB/s
    
+
    pred_probs.npz       20%[===>                ]   3.38M  8.07MB/s
    
 
    
 
    
 
    
 
    
 
    
 
    
-
    pred_probs.npz      100%[===================&gt;]  16.26M  48.1MB/s    in 0.3s
    
+
    pred_probs.npz       91%[=================&gt;  ]  14.89M  23.7MB/s
+pred_probs.npz      100%[===================&gt;]  16.26M  25.5MB/s    in 0.6s
    
 
    
 
    
-
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+
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    </pre>
    
 
    
 
    
-
    pred_probs.npz      100%[===================>]  16.26M  48.1MB/s    in 0.3s
    
+
    pred_probs.npz       91%[=================>  ]  14.89M  23.7MB/s
+pred_probs.npz      100%[===================>]  16.26M  25.5MB/s    in 0.6s
    
 
    
 
    
-
    2024-02-08 04:35:17 (48.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]
    
+
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    end{sphinxVerbatim}
    
 
    
 
    
-
    pred_probs.npz      100%[===================>]  16.26M  48.1MB/s    in 0.3s
    
+
    pred_probs.npz       91%[=================>  ]  14.89M  23.7MB/s
+pred_probs.npz      100%[===================>]  16.26M  25.5MB/s    in 0.6s
    
 
    
-
    2024-02-08 04:35:17 (48.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]
    
+
    2024-02-08 05:21:52 (25.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]
    
 
    
 
    
 
    [3]:
diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb
index b9cc787dc..c62fcd633 100644
--- a/master/tutorials/token_classification.ipynb
+++ b/master/tutorials/token_classification.ipynb
@@ -75,10 +75,10 @@
    "id": "ae8a08e0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:16.410970Z",
-     "iopub.status.busy": "2024-02-08T04:35:16.410808Z",
-     "iopub.status.idle": "2024-02-08T04:35:17.885044Z",
-     "shell.execute_reply": "2024-02-08T04:35:17.884466Z"
+     "iopub.execute_input": "2024-02-08T05:21:50.726788Z",
+     "iopub.status.busy": "2024-02-08T05:21:50.726620Z",
+     "iopub.status.idle": "2024-02-08T05:21:52.600696Z",
+     "shell.execute_reply": "2024-02-08T05:21:52.600068Z"
     }
    },
    "outputs": [
@@ -86,7 +86,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-08 04:35:16--  https://data.deepai.org/conll2003.zip\r\n",
+      "--2024-02-08 05:21:50--  https://data.deepai.org/conll2003.zip\r\n",
       "Resolving data.deepai.org (data.deepai.org)... "
      ]
     },
@@ -94,9 +94,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "185.93.1.250, 2400:52e0:1a00::718:1\r\n",
-      "Connecting to data.deepai.org (data.deepai.org)|185.93.1.250|:443... connected.\r\n",
-      "HTTP request sent, awaiting response... 200 OK\r\n",
+      "143.244.50.89, 2400:52e0:1a01::954:1\r\n",
+      "Connecting to data.deepai.org (data.deepai.org)|143.244.50.89|:443... connected.\r\n",
+      "HTTP request sent, awaiting response... "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "200 OK\r\n",
       "Length: 982975 (960K) [application/zip]\r\n",
       "Saving to: ‘conll2003.zip’\r\n",
       "\r\n",
@@ -109,9 +116,9 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s    \r\n",
+      "conll2003.zip       100%[===================>] 959.94K  4.92MB/s    in 0.2s    \r\n",
       "\r\n",
-      "2024-02-08 04:35:16 (6.64 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
+      "2024-02-08 05:21:51 (4.92 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
       "\r\n",
       "mkdir: cannot create directory ‘data’: File exists\r\n"
      ]
@@ -131,9 +138,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-08 04:35:17--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
-      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 16.182.32.209, 52.216.241.92, 52.217.130.65, ...\r\n",
-      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|16.182.32.209|:443... connected.\r\n"
+      "--2024-02-08 05:21:51--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
+      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 52.216.109.243, 52.216.165.75, 52.216.36.145, ...\r\n",
+      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|52.216.109.243|:443... "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "connected.\r\n"
      ]
     },
     {
@@ -160,7 +174,15 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "pred_probs.npz       63%[===========>        ]  10.25M  51.1MB/s               "
+      "pred_probs.npz        1%[                    ] 193.53K   925KB/s               "
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\r",
+      "pred_probs.npz       20%[===>                ]   3.38M  8.07MB/s               "
      ]
     },
     {
@@ -168,9 +190,10 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "pred_probs.npz      100%[===================>]  16.26M  48.1MB/s    in 0.3s    \r\n",
+      "pred_probs.npz       91%[=================>  ]  14.89M  23.7MB/s               \r",
+      "pred_probs.npz      100%[===================>]  16.26M  25.5MB/s    in 0.6s    \r\n",
       "\r\n",
-      "2024-02-08 04:35:17 (48.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
+      "2024-02-08 05:21:52 (25.5 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
       "\r\n"
      ]
     }
@@ -187,10 +210,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:17.887413Z",
-     "iopub.status.busy": "2024-02-08T04:35:17.887079Z",
-     "iopub.status.idle": "2024-02-08T04:35:18.908219Z",
-     "shell.execute_reply": "2024-02-08T04:35:18.907684Z"
+     "iopub.execute_input": "2024-02-08T05:21:52.603109Z",
+     "iopub.status.busy": "2024-02-08T05:21:52.602917Z",
+     "iopub.status.idle": "2024-02-08T05:21:53.718005Z",
+     "shell.execute_reply": "2024-02-08T05:21:53.717446Z"
     },
     "nbsphinx": "hidden"
    },
@@ -201,7 +224,7 @@
     "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@2b6ad95c32cfaf3029361941cca8c4eaf2ac541e\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@55409591737a9cc39ab0da67e9cf10ceac579900\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -227,10 +250,10 @@
    "id": "a1349304",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:18.910770Z",
-     "iopub.status.busy": "2024-02-08T04:35:18.910302Z",
-     "iopub.status.idle": "2024-02-08T04:35:18.913807Z",
-     "shell.execute_reply": "2024-02-08T04:35:18.913374Z"
+     "iopub.execute_input": "2024-02-08T05:21:53.720615Z",
+     "iopub.status.busy": "2024-02-08T05:21:53.720142Z",
+     "iopub.status.idle": "2024-02-08T05:21:53.723864Z",
+     "shell.execute_reply": "2024-02-08T05:21:53.723387Z"
     }
    },
    "outputs": [],
@@ -280,10 +303,10 @@
    "id": "ab9d59a0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:18.915726Z",
-     "iopub.status.busy": "2024-02-08T04:35:18.915411Z",
-     "iopub.status.idle": "2024-02-08T04:35:18.918230Z",
-     "shell.execute_reply": "2024-02-08T04:35:18.917797Z"
+     "iopub.execute_input": "2024-02-08T05:21:53.726015Z",
+     "iopub.status.busy": "2024-02-08T05:21:53.725691Z",
+     "iopub.status.idle": "2024-02-08T05:21:53.728578Z",
+     "shell.execute_reply": "2024-02-08T05:21:53.728151Z"
     },
     "nbsphinx": "hidden"
    },
@@ -301,10 +324,10 @@
    "id": "519cb80c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:18.920142Z",
-     "iopub.status.busy": "2024-02-08T04:35:18.919798Z",
-     "iopub.status.idle": "2024-02-08T04:35:27.926989Z",
-     "shell.execute_reply": "2024-02-08T04:35:27.926383Z"
+     "iopub.execute_input": "2024-02-08T05:21:53.730588Z",
+     "iopub.status.busy": "2024-02-08T05:21:53.730254Z",
+     "iopub.status.idle": "2024-02-08T05:22:02.922587Z",
+     "shell.execute_reply": "2024-02-08T05:22:02.922022Z"
     }
    },
    "outputs": [],
@@ -378,10 +401,10 @@
    "id": "202f1526",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:27.929541Z",
-     "iopub.status.busy": "2024-02-08T04:35:27.929340Z",
-     "iopub.status.idle": "2024-02-08T04:35:27.934958Z",
-     "shell.execute_reply": "2024-02-08T04:35:27.934409Z"
+     "iopub.execute_input": "2024-02-08T05:22:02.925250Z",
+     "iopub.status.busy": "2024-02-08T05:22:02.924929Z",
+     "iopub.status.idle": "2024-02-08T05:22:02.930371Z",
+     "shell.execute_reply": "2024-02-08T05:22:02.929886Z"
     },
     "nbsphinx": "hidden"
    },
@@ -421,10 +444,10 @@
    "id": "a4381f03",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:27.936904Z",
-     "iopub.status.busy": "2024-02-08T04:35:27.936728Z",
-     "iopub.status.idle": "2024-02-08T04:35:28.262039Z",
-     "shell.execute_reply": "2024-02-08T04:35:28.261376Z"
+     "iopub.execute_input": "2024-02-08T05:22:02.932624Z",
+     "iopub.status.busy": "2024-02-08T05:22:02.932228Z",
+     "iopub.status.idle": "2024-02-08T05:22:03.297995Z",
+     "shell.execute_reply": "2024-02-08T05:22:03.297346Z"
     }
    },
    "outputs": [],
@@ -461,10 +484,10 @@
    "id": "7842e4a3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:28.264636Z",
-     "iopub.status.busy": "2024-02-08T04:35:28.264297Z",
-     "iopub.status.idle": "2024-02-08T04:35:28.268345Z",
-     "shell.execute_reply": "2024-02-08T04:35:28.267788Z"
+     "iopub.execute_input": "2024-02-08T05:22:03.300463Z",
+     "iopub.status.busy": "2024-02-08T05:22:03.300279Z",
+     "iopub.status.idle": "2024-02-08T05:22:03.304705Z",
+     "shell.execute_reply": "2024-02-08T05:22:03.304158Z"
     }
    },
    "outputs": [
@@ -536,10 +559,10 @@
    "id": "2c2ad9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:28.270309Z",
-     "iopub.status.busy": "2024-02-08T04:35:28.270030Z",
-     "iopub.status.idle": "2024-02-08T04:35:30.566284Z",
-     "shell.execute_reply": "2024-02-08T04:35:30.565622Z"
+     "iopub.execute_input": "2024-02-08T05:22:03.306754Z",
+     "iopub.status.busy": "2024-02-08T05:22:03.306423Z",
+     "iopub.status.idle": "2024-02-08T05:22:05.755355Z",
+     "shell.execute_reply": "2024-02-08T05:22:05.754674Z"
     }
    },
    "outputs": [],
@@ -561,10 +584,10 @@
    "id": "95dc7268",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:30.569402Z",
-     "iopub.status.busy": "2024-02-08T04:35:30.568623Z",
-     "iopub.status.idle": "2024-02-08T04:35:30.572686Z",
-     "shell.execute_reply": "2024-02-08T04:35:30.572133Z"
+     "iopub.execute_input": "2024-02-08T05:22:05.758476Z",
+     "iopub.status.busy": "2024-02-08T05:22:05.757736Z",
+     "iopub.status.idle": "2024-02-08T05:22:05.761956Z",
+     "shell.execute_reply": "2024-02-08T05:22:05.761494Z"
     }
    },
    "outputs": [
@@ -600,10 +623,10 @@
    "id": "e13de188",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:30.574726Z",
-     "iopub.status.busy": "2024-02-08T04:35:30.574428Z",
-     "iopub.status.idle": "2024-02-08T04:35:30.579908Z",
-     "shell.execute_reply": "2024-02-08T04:35:30.579362Z"
+     "iopub.execute_input": "2024-02-08T05:22:05.764107Z",
+     "iopub.status.busy": "2024-02-08T05:22:05.763785Z",
+     "iopub.status.idle": "2024-02-08T05:22:05.768721Z",
+     "shell.execute_reply": "2024-02-08T05:22:05.768190Z"
     }
    },
    "outputs": [
@@ -781,10 +804,10 @@
    "id": "e4a006bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:30.581974Z",
-     "iopub.status.busy": "2024-02-08T04:35:30.581604Z",
-     "iopub.status.idle": "2024-02-08T04:35:30.607040Z",
-     "shell.execute_reply": "2024-02-08T04:35:30.606608Z"
+     "iopub.execute_input": "2024-02-08T05:22:05.770716Z",
+     "iopub.status.busy": "2024-02-08T05:22:05.770545Z",
+     "iopub.status.idle": "2024-02-08T05:22:05.796512Z",
+     "shell.execute_reply": "2024-02-08T05:22:05.795932Z"
     }
    },
    "outputs": [
@@ -886,10 +909,10 @@
    "id": "c8f4e163",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:30.609082Z",
-     "iopub.status.busy": "2024-02-08T04:35:30.608778Z",
-     "iopub.status.idle": "2024-02-08T04:35:30.612868Z",
-     "shell.execute_reply": "2024-02-08T04:35:30.612332Z"
+     "iopub.execute_input": "2024-02-08T05:22:05.798717Z",
+     "iopub.status.busy": "2024-02-08T05:22:05.798431Z",
+     "iopub.status.idle": "2024-02-08T05:22:05.803963Z",
+     "shell.execute_reply": "2024-02-08T05:22:05.803248Z"
     }
    },
    "outputs": [
@@ -963,10 +986,10 @@
    "id": "db0b5179",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:30.614887Z",
-     "iopub.status.busy": "2024-02-08T04:35:30.614588Z",
-     "iopub.status.idle": "2024-02-08T04:35:32.021894Z",
-     "shell.execute_reply": "2024-02-08T04:35:32.021397Z"
+     "iopub.execute_input": "2024-02-08T05:22:05.805972Z",
+     "iopub.status.busy": "2024-02-08T05:22:05.805666Z",
+     "iopub.status.idle": "2024-02-08T05:22:07.269804Z",
+     "shell.execute_reply": "2024-02-08T05:22:07.269179Z"
     }
    },
    "outputs": [
@@ -1138,10 +1161,10 @@
    "id": "a18795eb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-08T04:35:32.024066Z",
-     "iopub.status.busy": "2024-02-08T04:35:32.023695Z",
-     "iopub.status.idle": "2024-02-08T04:35:32.027757Z",
-     "shell.execute_reply": "2024-02-08T04:35:32.027319Z"
+     "iopub.execute_input": "2024-02-08T05:22:07.272129Z",
+     "iopub.status.busy": "2024-02-08T05:22:07.271782Z",
+     "iopub.status.idle": "2024-02-08T05:22:07.276036Z",
+     "shell.execute_reply": "2024-02-08T05:22:07.275437Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/versioning.js b/versioning.js
index 677111260..3968cf916 100644
--- a/versioning.js
+++ b/versioning.js
@@ -1,4 +1,4 @@
 var Version = {
   version_number: "v2.5.0",
-  commit_hash: "2b6ad95c32cfaf3029361941cca8c4eaf2ac541e",
+  commit_hash: "55409591737a9cc39ab0da67e9cf10ceac579900",
 };
\ No newline at end of file