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index 680839ee3..4b3e2ef63 100644
Binary files a/master/.doctrees/environment.pickle and b/master/.doctrees/environment.pickle differ
diff --git a/master/.doctrees/index.doctree b/master/.doctrees/index.doctree
index e5a53e183..540554730 100644
Binary files a/master/.doctrees/index.doctree and b/master/.doctrees/index.doctree differ
diff --git a/master/.doctrees/migrating/migrate_v2.doctree b/master/.doctrees/migrating/migrate_v2.doctree
index 9581bb3a4..3ae56c78b 100644
Binary files a/master/.doctrees/migrating/migrate_v2.doctree and b/master/.doctrees/migrating/migrate_v2.doctree differ
diff --git a/master/.doctrees/nbsphinx/tutorials/audio.ipynb b/master/.doctrees/nbsphinx/tutorials/audio.ipynb
index a5e9b1f67..0f9c0a512 100644
--- a/master/.doctrees/nbsphinx/tutorials/audio.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/audio.ipynb
@@ -78,10 +78,10 @@
"execution_count": 1,
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@@ -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@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\n",
" cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
" %pip install $cmd\n",
"else:\n",
@@ -131,10 +131,10 @@
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@@ -157,10 +157,10 @@
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@@ -208,10 +208,10 @@
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@@ -242,10 +242,10 @@
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@@ -329,10 +329,10 @@
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@@ -435,10 +435,10 @@
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@@ -555,10 +555,10 @@
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@@ -580,10 +580,10 @@
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@@ -615,10 +615,10 @@
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@@ -714,10 +714,10 @@
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@@ -2842,37 +2871,7 @@
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- "dde6107c87bc4704a186d2741f7fc398": {
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@@ -2924,7 +2923,7 @@
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@@ -3086,6 +3062,30 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb
index da827ac2a..a07f16f61 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb
@@ -80,10 +80,10 @@
"execution_count": 1,
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- "shell.execute_reply": "2023-12-05T01:32:35.142464Z"
+ "iopub.execute_input": "2023-12-07T04:29:58.404426Z",
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},
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},
@@ -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@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\n",
" cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
" %pip install $cmd\n",
"else:\n",
@@ -118,10 +118,10 @@
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@@ -252,10 +252,10 @@
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},
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@@ -353,10 +353,10 @@
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- "shell.execute_reply": "2023-12-05T01:32:35.166598Z"
+ "iopub.execute_input": "2023-12-07T04:29:59.505635Z",
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@@ -445,10 +445,10 @@
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@@ -517,10 +517,10 @@
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- "shell.execute_reply": "2023-12-05T01:32:35.802865Z"
+ "iopub.execute_input": "2023-12-07T04:29:59.784595Z",
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@@ -568,10 +568,10 @@
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+ "iopub.execute_input": "2023-12-07T04:30:00.151286Z",
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@@ -607,10 +607,10 @@
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- "shell.execute_reply": "2023-12-05T01:32:35.841625Z"
+ "iopub.execute_input": "2023-12-07T04:30:00.177841Z",
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@@ -641,10 +641,10 @@
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@@ -708,10 +708,10 @@
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@@ -820,10 +820,10 @@
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@@ -935,10 +935,10 @@
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@@ -1068,17 +1068,17 @@
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- "model_id": "a4a7883d842040cdac3e2057ad8f0d8d",
+ "model_id": "56a4ace9432b477e8e3dbfa8d973c9f2",
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@@ -1114,10 +1114,10 @@
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@@ -1235,10 +1235,10 @@
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@@ -1295,10 +1295,10 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb
index 85176bebb..235e2ac8c 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb
@@ -78,10 +78,10 @@
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@@ -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@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\n",
" cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
" %pip install $cmd\n",
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@@ -351,10 +351,10 @@
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@@ -443,10 +443,10 @@
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@@ -677,10 +677,10 @@
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- "shell.execute_reply": "2023-12-05T01:32:45.202285Z"
+ "iopub.execute_input": "2023-12-07T04:30:09.682621Z",
+ "iopub.status.busy": "2023-12-07T04:30:09.682181Z",
+ "iopub.status.idle": "2023-12-07T04:30:09.689591Z",
+ "shell.execute_reply": "2023-12-07T04:30:09.688994Z"
},
"scrolled": true
},
@@ -1357,10 +1357,10 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:45.204965Z",
- "iopub.status.busy": "2023-12-05T01:32:45.204773Z",
- "iopub.status.idle": "2023-12-05T01:32:45.214834Z",
- "shell.execute_reply": "2023-12-05T01:32:45.214308Z"
+ "iopub.execute_input": "2023-12-07T04:30:09.691906Z",
+ "iopub.status.busy": "2023-12-07T04:30:09.691707Z",
+ "iopub.status.idle": "2023-12-07T04:30:09.701947Z",
+ "shell.execute_reply": "2023-12-07T04:30:09.701347Z"
}
},
"outputs": [
diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
index 670768aa8..4552e0a7c 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
@@ -74,10 +74,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:50.344230Z",
- "iopub.status.busy": "2023-12-05T01:32:50.344055Z",
- "iopub.status.idle": "2023-12-05T01:32:51.342279Z",
- "shell.execute_reply": "2023-12-05T01:32:51.341671Z"
+ "iopub.execute_input": "2023-12-07T04:30:14.612629Z",
+ "iopub.status.busy": "2023-12-07T04:30:14.612452Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.639100Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.638519Z"
},
"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@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\n",
" cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
" %pip install $cmd\n",
"else:\n",
@@ -112,10 +112,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.345324Z",
- "iopub.status.busy": "2023-12-05T01:32:51.344750Z",
- "iopub.status.idle": "2023-12-05T01:32:51.361504Z",
- "shell.execute_reply": "2023-12-05T01:32:51.360893Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.642178Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.641685Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.659016Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.658530Z"
}
},
"outputs": [],
@@ -155,10 +155,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.364134Z",
- "iopub.status.busy": "2023-12-05T01:32:51.363788Z",
- "iopub.status.idle": "2023-12-05T01:32:51.678406Z",
- "shell.execute_reply": "2023-12-05T01:32:51.677809Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.661619Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.661171Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.809184Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.808613Z"
}
},
"outputs": [
@@ -265,10 +265,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.680633Z",
- "iopub.status.busy": "2023-12-05T01:32:51.680438Z",
- "iopub.status.idle": "2023-12-05T01:32:51.684024Z",
- "shell.execute_reply": "2023-12-05T01:32:51.683432Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.811855Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.811401Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.816055Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.815431Z"
}
},
"outputs": [],
@@ -289,10 +289,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.686199Z",
- "iopub.status.busy": "2023-12-05T01:32:51.686001Z",
- "iopub.status.idle": "2023-12-05T01:32:51.693664Z",
- "shell.execute_reply": "2023-12-05T01:32:51.693189Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.818492Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.818052Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.826499Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.825893Z"
}
},
"outputs": [],
@@ -337,10 +337,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.695972Z",
- "iopub.status.busy": "2023-12-05T01:32:51.695777Z",
- "iopub.status.idle": "2023-12-05T01:32:51.698529Z",
- "shell.execute_reply": "2023-12-05T01:32:51.698010Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.829027Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.828603Z",
+ "iopub.status.idle": "2023-12-07T04:30:15.831442Z",
+ "shell.execute_reply": "2023-12-07T04:30:15.830832Z"
}
},
"outputs": [],
@@ -362,10 +362,10 @@
"execution_count": 7,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:51.700634Z",
- "iopub.status.busy": "2023-12-05T01:32:51.700446Z",
- "iopub.status.idle": "2023-12-05T01:32:55.267271Z",
- "shell.execute_reply": "2023-12-05T01:32:55.266565Z"
+ "iopub.execute_input": "2023-12-07T04:30:15.833627Z",
+ "iopub.status.busy": "2023-12-07T04:30:15.833427Z",
+ "iopub.status.idle": "2023-12-07T04:30:19.487565Z",
+ "shell.execute_reply": "2023-12-07T04:30:19.486904Z"
}
},
"outputs": [],
@@ -401,10 +401,10 @@
"execution_count": 8,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:55.270548Z",
- "iopub.status.busy": "2023-12-05T01:32:55.270112Z",
- "iopub.status.idle": "2023-12-05T01:32:55.279865Z",
- "shell.execute_reply": "2023-12-05T01:32:55.279381Z"
+ "iopub.execute_input": "2023-12-07T04:30:19.490684Z",
+ "iopub.status.busy": "2023-12-07T04:30:19.490462Z",
+ "iopub.status.idle": "2023-12-07T04:30:19.499954Z",
+ "shell.execute_reply": "2023-12-07T04:30:19.499438Z"
}
},
"outputs": [],
@@ -436,10 +436,10 @@
"execution_count": 9,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:55.282248Z",
- "iopub.status.busy": "2023-12-05T01:32:55.281881Z",
- "iopub.status.idle": "2023-12-05T01:32:56.568739Z",
- "shell.execute_reply": "2023-12-05T01:32:56.567934Z"
+ "iopub.execute_input": "2023-12-07T04:30:19.502271Z",
+ "iopub.status.busy": "2023-12-07T04:30:19.502075Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.834123Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.833385Z"
}
},
"outputs": [
@@ -474,10 +474,10 @@
"execution_count": 10,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.573300Z",
- "iopub.status.busy": "2023-12-05T01:32:56.571958Z",
- "iopub.status.idle": "2023-12-05T01:32:56.595846Z",
- "shell.execute_reply": "2023-12-05T01:32:56.595246Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.838754Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.837392Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.861919Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.861310Z"
},
"scrolled": true
},
@@ -602,10 +602,10 @@
"execution_count": 11,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.600099Z",
- "iopub.status.busy": "2023-12-05T01:32:56.598967Z",
- "iopub.status.idle": "2023-12-05T01:32:56.611404Z",
- "shell.execute_reply": "2023-12-05T01:32:56.610799Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.866229Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.865104Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.877843Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.877250Z"
}
},
"outputs": [
@@ -709,10 +709,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.615607Z",
- "iopub.status.busy": "2023-12-05T01:32:56.614478Z",
- "iopub.status.idle": "2023-12-05T01:32:56.628768Z",
- "shell.execute_reply": "2023-12-05T01:32:56.628188Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.882146Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.881006Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.895559Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.894951Z"
}
},
"outputs": [
@@ -841,10 +841,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.633040Z",
- "iopub.status.busy": "2023-12-05T01:32:56.631929Z",
- "iopub.status.idle": "2023-12-05T01:32:56.644434Z",
- "shell.execute_reply": "2023-12-05T01:32:56.643852Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.899890Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.898754Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.911464Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.910852Z"
}
},
"outputs": [
@@ -958,10 +958,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.648677Z",
- "iopub.status.busy": "2023-12-05T01:32:56.647574Z",
- "iopub.status.idle": "2023-12-05T01:32:56.661330Z",
- "shell.execute_reply": "2023-12-05T01:32:56.660834Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.915788Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.914654Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.928474Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.927837Z"
}
},
"outputs": [
@@ -1072,10 +1072,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.663793Z",
- "iopub.status.busy": "2023-12-05T01:32:56.663430Z",
- "iopub.status.idle": "2023-12-05T01:32:56.670632Z",
- "shell.execute_reply": "2023-12-05T01:32:56.670026Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.930994Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.930796Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.938950Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.938085Z"
}
},
"outputs": [
@@ -1159,10 +1159,10 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.672863Z",
- "iopub.status.busy": "2023-12-05T01:32:56.672681Z",
- "iopub.status.idle": "2023-12-05T01:32:56.679840Z",
- "shell.execute_reply": "2023-12-05T01:32:56.679313Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.941540Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.941341Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.948793Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.948211Z"
}
},
"outputs": [
@@ -1246,10 +1246,10 @@
"execution_count": 17,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:32:56.682184Z",
- "iopub.status.busy": "2023-12-05T01:32:56.681823Z",
- "iopub.status.idle": "2023-12-05T01:32:56.688738Z",
- "shell.execute_reply": "2023-12-05T01:32:56.688230Z"
+ "iopub.execute_input": "2023-12-07T04:30:20.951460Z",
+ "iopub.status.busy": "2023-12-07T04:30:20.950865Z",
+ "iopub.status.idle": "2023-12-07T04:30:20.958177Z",
+ "shell.execute_reply": "2023-12-07T04:30:20.957684Z"
},
"nbsphinx": "hidden"
},
diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb
index 59d3ff0b9..0f4bc343d 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb
@@ -75,10 +75,10 @@
"execution_count": 1,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:01.169465Z",
- "iopub.status.busy": "2023-12-05T01:33:01.169268Z",
- "iopub.status.idle": "2023-12-05T01:33:03.404441Z",
- "shell.execute_reply": "2023-12-05T01:33:03.403842Z"
+ "iopub.execute_input": "2023-12-07T04:30:25.492684Z",
+ "iopub.status.busy": "2023-12-07T04:30:25.492172Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.914212Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.913504Z"
},
"nbsphinx": "hidden"
},
@@ -93,7 +93,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "0e432569629a488a9973549a22cfcc97",
+ "model_id": "b2e218828ced40ebafbe011173a1af64",
"version_major": 2,
"version_minor": 0
},
@@ -118,7 +118,7 @@
"os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\" # disable parallelism to avoid deadlocks with huggingface\n",
"\n",
"if \"google.colab\" in str(get_ipython()): # Check if it's running in Google Colab\n",
- " %pip install git+https://github.com/cleanlab/cleanlab.git@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\n",
" cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
" %pip install $cmd\n",
"else:\n",
@@ -143,10 +143,10 @@
"execution_count": 2,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:03.407497Z",
- "iopub.status.busy": "2023-12-05T01:33:03.406966Z",
- "iopub.status.idle": "2023-12-05T01:33:03.410318Z",
- "shell.execute_reply": "2023-12-05T01:33:03.409790Z"
+ "iopub.execute_input": "2023-12-07T04:30:27.917265Z",
+ "iopub.status.busy": "2023-12-07T04:30:27.916961Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.920396Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.919837Z"
}
},
"outputs": [],
@@ -167,10 +167,10 @@
"execution_count": 3,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:03.412605Z",
- "iopub.status.busy": "2023-12-05T01:33:03.412305Z",
- "iopub.status.idle": "2023-12-05T01:33:03.415496Z",
- "shell.execute_reply": "2023-12-05T01:33:03.414973Z"
+ "iopub.execute_input": "2023-12-07T04:30:27.922797Z",
+ "iopub.status.busy": "2023-12-07T04:30:27.922324Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.925691Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.925083Z"
},
"nbsphinx": "hidden"
},
@@ -200,10 +200,10 @@
"execution_count": 4,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:03.417810Z",
- "iopub.status.busy": "2023-12-05T01:33:03.417439Z",
- "iopub.status.idle": "2023-12-05T01:33:03.572108Z",
- "shell.execute_reply": "2023-12-05T01:33:03.571590Z"
+ "iopub.execute_input": "2023-12-07T04:30:27.928072Z",
+ "iopub.status.busy": "2023-12-07T04:30:27.927618Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.979730Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.979131Z"
}
},
"outputs": [
@@ -293,10 +293,10 @@
"execution_count": 5,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:03.574288Z",
- "iopub.status.busy": "2023-12-05T01:33:03.573987Z",
- "iopub.status.idle": "2023-12-05T01:33:03.578268Z",
- "shell.execute_reply": "2023-12-05T01:33:03.577739Z"
+ "iopub.execute_input": "2023-12-07T04:30:27.982040Z",
+ "iopub.status.busy": "2023-12-07T04:30:27.981798Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.986219Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.985600Z"
}
},
"outputs": [
@@ -305,7 +305,7 @@
"output_type": "stream",
"text": [
"This dataset has 10 classes.\n",
- "Classes: {'cancel_transfer', 'card_payment_fee_charged', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'beneficiary_not_allowed', 'getting_spare_card', 'change_pin', 'visa_or_mastercard', 'lost_or_stolen_phone'}\n"
+ "Classes: {'cancel_transfer', 'card_about_to_expire', 'supported_cards_and_currencies', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'getting_spare_card', 'card_payment_fee_charged', 'change_pin', 'beneficiary_not_allowed', 'visa_or_mastercard'}\n"
]
}
],
@@ -329,10 +329,10 @@
"execution_count": 6,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:33:03.580530Z",
- "iopub.status.busy": "2023-12-05T01:33:03.580229Z",
- "iopub.status.idle": "2023-12-05T01:33:03.584005Z",
- "shell.execute_reply": "2023-12-05T01:33:03.583481Z"
+ "iopub.execute_input": "2023-12-07T04:30:27.988630Z",
+ "iopub.status.busy": "2023-12-07T04:30:27.988260Z",
+ "iopub.status.idle": "2023-12-07T04:30:27.991695Z",
+ "shell.execute_reply": "2023-12-07T04:30:27.991079Z"
}
},
"outputs": [
@@ -387,17 +387,17 @@
"execution_count": 7,
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@@ -4051,7 +4076,31 @@
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@@ -4103,28 +4152,7 @@
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@@ -4139,13 +4167,13 @@
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- "layout": "IPY_MODEL_9bcf7e1cd46f4b38ac69fa209b2ad565",
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"placeholder": "",
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- "value": "tokenizer_config.json: 100%"
+ "style": "IPY_MODEL_59bb21d91276486ebe37143e4bd1b350",
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}
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@@ -4197,7 +4225,7 @@
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@@ -4249,47 +4277,19 @@
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"_model_module_version": "1.5.0",
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diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb
index d2a91a618..00221cf07 100644
--- a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb
@@ -68,10 +68,10 @@
"execution_count": 1,
"metadata": {
"execution": {
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- "iopub.status.idle": "2023-12-05T01:33:23.521185Z",
- "shell.execute_reply": "2023-12-05T01:33:23.520547Z"
+ "iopub.execute_input": "2023-12-07T04:30:44.838891Z",
+ "iopub.status.busy": "2023-12-07T04:30:44.838363Z",
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+ "shell.execute_reply": "2023-12-07T04:30:45.848781Z"
},
"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@4ac43c0a2654179732cafc704e807c3c5c9ec1f1\n",
+ " %pip install git+https://github.com/cleanlab/cleanlab.git@2e3608a2d8561e6936e510f72cfeb3da16fe6824\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": {
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},
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@@ -201,10 +201,10 @@
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- "shell.execute_reply": "2023-12-05T01:33:23.542399Z"
+ "iopub.execute_input": "2023-12-07T04:30:45.857643Z",
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},
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@@ -283,10 +283,10 @@
"execution_count": 4,
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},
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diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb
index f4df3d42a..040abce87 100644
--- a/master/.doctrees/nbsphinx/tutorials/faq.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/faq.ipynb
@@ -18,10 +18,10 @@
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- "shell.execute_reply": "2023-12-05T01:33:35.137133Z"
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},
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@@ -97,10 +97,10 @@
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}
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@@ -136,10 +136,10 @@
"id": "28b324aa",
"metadata": {
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- "shell.execute_reply": "2023-12-05T01:33:37.083091Z"
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}
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@@ -162,10 +162,10 @@
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- "shell.execute_reply": "2023-12-05T01:33:37.121911Z"
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+ "shell.execute_reply": "2023-12-07T04:30:57.364356Z"
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@@ -188,10 +188,10 @@
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- "shell.execute_reply": "2023-12-05T01:33:37.159902Z"
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@@ -213,10 +213,10 @@
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- "shell.execute_reply": "2023-12-05T01:33:37.166066Z"
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+ "shell.execute_reply": "2023-12-07T04:30:57.406918Z"
}
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@@ -238,10 +238,10 @@
"id": "558490c2",
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- "shell.execute_reply": "2023-12-05T01:33:37.170875Z"
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@@ -298,10 +298,10 @@
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@@ -315,7 +315,7 @@
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@@ -329,7 +329,7 @@
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@@ -387,10 +387,10 @@
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@@ -421,10 +421,10 @@
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@@ -447,10 +447,10 @@
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@@ -500,10 +500,10 @@
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@@ -520,10 +520,10 @@
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@@ -602,10 +602,10 @@
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@@ -672,10 +672,10 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/image.ipynb b/master/.doctrees/nbsphinx/tutorials/image.ipynb
index 323d2b1d0..d386f82d4 100644
--- a/master/.doctrees/nbsphinx/tutorials/image.ipynb
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+ "shell.execute_reply": "2023-12-07T04:31:07.743950Z"
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@@ -152,17 +152,17 @@
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- "shell.execute_reply": "2023-12-05T01:34:03.427591Z"
+ "iopub.execute_input": "2023-12-07T04:31:07.746721Z",
+ "iopub.status.busy": "2023-12-07T04:31:07.746361Z",
+ "iopub.status.idle": "2023-12-07T04:31:20.684263Z",
+ "shell.execute_reply": "2023-12-07T04:31:20.683709Z"
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- "model_id": "cce0d519d75d4d199b56cbecfaf48d67",
+ "model_id": "2fa3b861f437409281f250c19569ecad",
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@@ -176,7 +176,7 @@
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+ "model_id": "5cc7738011684acab3c4971b38746593",
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@@ -190,7 +190,7 @@
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@@ -204,7 +204,7 @@
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@@ -218,7 +218,7 @@
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@@ -232,7 +232,7 @@
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@@ -246,7 +246,7 @@
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@@ -260,7 +260,7 @@
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@@ -274,7 +274,7 @@
{
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@@ -288,7 +288,7 @@
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@@ -302,7 +302,7 @@
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@@ -344,10 +344,10 @@
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- "shell.execute_reply": "2023-12-05T01:34:03.434054Z"
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@@ -372,17 +372,17 @@
"execution_count": 5,
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@@ -420,10 +420,10 @@
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- "shell.execute_reply": "2023-12-05T01:34:35.551072Z"
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@@ -456,10 +456,10 @@
"execution_count": 7,
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@@ -497,10 +497,10 @@
"execution_count": 8,
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@@ -637,10 +637,10 @@
"execution_count": 9,
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@@ -765,10 +765,10 @@
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@@ -805,10 +805,10 @@
"execution_count": 11,
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}
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@@ -824,14 +824,14 @@
"name": "stdout",
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"text": [
- "epoch: 1 loss: 0.483 test acc: 86.835 time_taken: 4.595\n"
+ "epoch: 1 loss: 0.483 test acc: 86.835 time_taken: 4.719\n"
]
},
{
"name": "stdout",
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"text": [
- "epoch: 2 loss: 0.331 test acc: 88.310 time_taken: 4.388\n",
+ "epoch: 2 loss: 0.331 test acc: 88.310 time_taken: 4.275\n",
"Computing feature embeddings ...\n"
]
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@@ -848,7 +848,7 @@
"output_type": "stream",
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"\r",
- " 5%|▌ | 2/40 [00:00<00:02, 17.37it/s]"
+ " 5%|▌ | 2/40 [00:00<00:02, 17.58it/s]"
]
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{
@@ -856,7 +856,7 @@
"output_type": "stream",
"text": [
"\r",
- " 25%|██▌ | 10/40 [00:00<00:00, 50.60it/s]"
+ " 25%|██▌ | 10/40 [00:00<00:00, 49.65it/s]"
]
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{
@@ -864,7 +864,7 @@
"output_type": "stream",
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"\r",
- " 45%|████▌ | 18/40 [00:00<00:00, 62.00it/s]"
+ " 45%|████▌ | 18/40 [00:00<00:00, 61.12it/s]"
]
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{
@@ -872,7 +872,7 @@
"output_type": "stream",
"text": [
"\r",
- " 65%|██████▌ | 26/40 [00:00<00:00, 67.70it/s]"
+ " 65%|██████▌ | 26/40 [00:00<00:00, 66.61it/s]"
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{
@@ -880,7 +880,7 @@
"output_type": "stream",
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"\r",
- " 88%|████████▊ | 35/40 [00:00<00:00, 72.73it/s]"
+ " 85%|████████▌ | 34/40 [00:00<00:00, 69.24it/s]"
]
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{
@@ -888,7 +888,7 @@
"output_type": "stream",
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"\r",
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+ "100%|██████████| 40/40 [00:00<00:00, 63.92it/s]"
]
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{
@@ -918,7 +918,7 @@
"output_type": "stream",
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"\r",
- " 8%|▊ | 3/40 [00:00<00:01, 27.44it/s]"
+ " 8%|▊ | 3/40 [00:00<00:01, 26.43it/s]"
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{
@@ -926,7 +926,7 @@
"output_type": "stream",
"text": [
"\r",
- " 28%|██▊ | 11/40 [00:00<00:00, 55.50it/s]"
+ " 28%|██▊ | 11/40 [00:00<00:00, 54.28it/s]"
]
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{
@@ -934,7 +934,7 @@
"output_type": "stream",
"text": [
"\r",
- " 48%|████▊ | 19/40 [00:00<00:00, 61.42it/s]"
+ " 45%|████▌ | 18/40 [00:00<00:00, 58.62it/s]"
]
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{
@@ -942,7 +942,7 @@
"output_type": "stream",
"text": [
"\r",
- " 65%|██████▌ | 26/40 [00:00<00:00, 62.48it/s]"
+ " 62%|██████▎ | 25/40 [00:00<00:00, 60.60it/s]"
]
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{
@@ -950,7 +950,7 @@
"output_type": "stream",
"text": [
"\r",
- " 85%|████████▌ | 34/40 [00:00<00:00, 68.11it/s]"
+ " 80%|████████ | 32/40 [00:00<00:00, 61.82it/s]"
]
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{
@@ -958,7 +958,7 @@
"output_type": "stream",
"text": [
"\r",
- "100%|██████████| 40/40 [00:00<00:00, 64.48it/s]"
+ "100%|██████████| 40/40 [00:00<00:00, 60.80it/s]"
]
},
{
@@ -980,14 +980,14 @@
"name": "stdout",
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"text": [
- "epoch: 1 loss: 0.492 test acc: 87.085 time_taken: 4.707\n"
+ "epoch: 1 loss: 0.492 test acc: 87.085 time_taken: 4.606\n"
]
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{
"name": "stdout",
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"text": [
- "epoch: 2 loss: 0.330 test acc: 88.290 time_taken: 4.314\n",
+ "epoch: 2 loss: 0.330 test acc: 88.290 time_taken: 4.358\n",
"Computing feature embeddings ...\n"
]
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@@ -1004,7 +1004,7 @@
"output_type": "stream",
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"\r",
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+ " 2%|▎ | 1/40 [00:00<00:03, 9.90it/s]"
]
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{
@@ -1012,7 +1012,7 @@
"output_type": "stream",
"text": [
"\r",
- " 20%|██ | 8/40 [00:00<00:00, 41.79it/s]"
+ " 22%|██▎ | 9/40 [00:00<00:00, 47.90it/s]"
]
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{
@@ -1020,7 +1020,7 @@
"output_type": "stream",
"text": [
"\r",
- " 38%|███▊ | 15/40 [00:00<00:00, 52.05it/s]"
+ " 42%|████▎ | 17/40 [00:00<00:00, 60.68it/s]"
]
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{
@@ -1028,7 +1028,7 @@
"output_type": "stream",
"text": [
"\r",
- " 55%|█████▌ | 22/40 [00:00<00:00, 57.89it/s]"
+ " 62%|██████▎ | 25/40 [00:00<00:00, 66.67it/s]"
]
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{
@@ -1036,7 +1036,7 @@
"output_type": "stream",
"text": [
"\r",
- " 75%|███████▌ | 30/40 [00:00<00:00, 63.66it/s]"
+ " 82%|████████▎ | 33/40 [00:00<00:00, 69.55it/s]"
]
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{
@@ -1044,15 +1044,7 @@
"output_type": "stream",
"text": [
"\r",
- " 95%|█████████▌| 38/40 [00:00<00:00, 66.79it/s]"
- ]
- },
- {
- "name": "stderr",
- "output_type": "stream",
- "text": [
- "\r",
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+ "100%|██████████| 40/40 [00:00<00:00, 64.19it/s]"
]
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{
@@ -1082,7 +1074,7 @@
"output_type": "stream",
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+ " 8%|▊ | 3/40 [00:00<00:01, 26.56it/s]"
]
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{
@@ -1090,7 +1082,7 @@
"output_type": "stream",
"text": [
"\r",
- " 28%|██▊ | 11/40 [00:00<00:00, 53.16it/s]"
+ " 28%|██▊ | 11/40 [00:00<00:00, 55.95it/s]"
]
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{
@@ -1098,7 +1090,7 @@
"output_type": "stream",
"text": [
"\r",
- " 45%|████▌ | 18/40 [00:00<00:00, 60.19it/s]"
+ " 48%|████▊ | 19/40 [00:00<00:00, 65.48it/s]"
]
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{
@@ -1106,7 +1098,7 @@
"output_type": "stream",
"text": [
"\r",
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+ " 68%|██████▊ | 27/40 [00:00<00:00, 70.05it/s]"
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{
@@ -1114,7 +1106,7 @@
"output_type": "stream",
"text": [
"\r",
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+ " 90%|█████████ | 36/40 [00:00<00:00, 75.08it/s]"
]
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{
@@ -1122,7 +1114,7 @@
"output_type": "stream",
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"\r",
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+ "100%|██████████| 40/40 [00:00<00:00, 68.38it/s]"
]
},
{
@@ -1144,14 +1136,14 @@
"name": "stdout",
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"text": [
- "epoch: 1 loss: 0.476 test acc: 86.305 time_taken: 4.509\n"
+ "epoch: 1 loss: 0.476 test acc: 86.305 time_taken: 4.624\n"
]
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{
"name": "stdout",
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- "epoch: 2 loss: 0.328 test acc: 86.335 time_taken: 4.250\n",
+ "epoch: 2 loss: 0.328 test acc: 86.335 time_taken: 4.218\n",
"Computing feature embeddings ...\n"
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@@ -1168,7 +1160,7 @@
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+ " 5%|▌ | 2/40 [00:00<00:01, 19.87it/s]"
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+ " 25%|██▌ | 10/40 [00:00<00:00, 53.12it/s]"
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{
@@ -1184,7 +1176,7 @@
"output_type": "stream",
"text": [
"\r",
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+ " 45%|████▌ | 18/40 [00:00<00:00, 63.95it/s]"
]
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{
@@ -1192,7 +1184,7 @@
"output_type": "stream",
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+ " 65%|██████▌ | 26/40 [00:00<00:00, 69.32it/s]"
]
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@@ -1200,7 +1192,7 @@
"output_type": "stream",
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+ " 85%|████████▌ | 34/40 [00:00<00:00, 72.46it/s]"
]
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+ "100%|██████████| 40/40 [00:00<00:00, 67.03it/s]"
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+ " 2%|▎ | 1/40 [00:00<00:04, 8.94it/s]"
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"output_type": "stream",
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+ " 22%|██▎ | 9/40 [00:00<00:00, 47.96it/s]"
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{
@@ -1254,7 +1246,7 @@
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"text": [
"\r",
- " 48%|████▊ | 19/40 [00:00<00:00, 65.77it/s]"
+ " 42%|████▎ | 17/40 [00:00<00:00, 61.28it/s]"
]
},
{
@@ -1262,7 +1254,7 @@
"output_type": "stream",
"text": [
"\r",
- " 68%|██████▊ | 27/40 [00:00<00:00, 70.33it/s]"
+ " 62%|██████▎ | 25/40 [00:00<00:00, 66.18it/s]"
]
},
{
@@ -1270,7 +1262,7 @@
"output_type": "stream",
"text": [
"\r",
- " 90%|█████████ | 36/40 [00:00<00:00, 74.64it/s]"
+ " 82%|████████▎ | 33/40 [00:00<00:00, 70.20it/s]"
]
},
{
@@ -1278,7 +1270,7 @@
"output_type": "stream",
"text": [
"\r",
- "100%|██████████| 40/40 [00:00<00:00, 68.45it/s]"
+ "100%|██████████| 40/40 [00:00<00:00, 64.86it/s]"
]
},
{
@@ -1355,10 +1347,10 @@
"execution_count": 12,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:35:06.147500Z",
- "iopub.status.busy": "2023-12-05T01:35:06.147041Z",
- "iopub.status.idle": "2023-12-05T01:35:06.161115Z",
- "shell.execute_reply": "2023-12-05T01:35:06.160458Z"
+ "iopub.execute_input": "2023-12-07T04:32:23.992772Z",
+ "iopub.status.busy": "2023-12-07T04:32:23.992497Z",
+ "iopub.status.idle": "2023-12-07T04:32:24.006356Z",
+ "shell.execute_reply": "2023-12-07T04:32:24.005750Z"
}
},
"outputs": [],
@@ -1383,10 +1375,10 @@
"execution_count": 13,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:35:06.163925Z",
- "iopub.status.busy": "2023-12-05T01:35:06.163725Z",
- "iopub.status.idle": "2023-12-05T01:35:06.599356Z",
- "shell.execute_reply": "2023-12-05T01:35:06.598718Z"
+ "iopub.execute_input": "2023-12-07T04:32:24.009183Z",
+ "iopub.status.busy": "2023-12-07T04:32:24.008710Z",
+ "iopub.status.idle": "2023-12-07T04:32:24.453960Z",
+ "shell.execute_reply": "2023-12-07T04:32:24.453245Z"
}
},
"outputs": [],
@@ -1406,10 +1398,10 @@
"execution_count": 14,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:35:06.602388Z",
- "iopub.status.busy": "2023-12-05T01:35:06.601828Z",
- "iopub.status.idle": "2023-12-05T01:38:26.793553Z",
- "shell.execute_reply": "2023-12-05T01:38:26.792909Z"
+ "iopub.execute_input": "2023-12-07T04:32:24.456938Z",
+ "iopub.status.busy": "2023-12-07T04:32:24.456577Z",
+ "iopub.status.idle": "2023-12-07T04:35:45.084656Z",
+ "shell.execute_reply": "2023-12-07T04:35:45.083948Z"
}
},
"outputs": [
@@ -1446,7 +1438,7 @@
{
"data": {
"application/vnd.jupyter.widget-view+json": {
- "model_id": "36912f710ef04432af6464b0b00cca34",
+ "model_id": "0efbf5c31dd84a3ab1e463aff1e00d57",
"version_major": 2,
"version_minor": 0
},
@@ -1485,10 +1477,10 @@
"execution_count": 15,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:26.796563Z",
- "iopub.status.busy": "2023-12-05T01:38:26.795915Z",
- "iopub.status.idle": "2023-12-05T01:38:27.270051Z",
- "shell.execute_reply": "2023-12-05T01:38:27.269422Z"
+ "iopub.execute_input": "2023-12-07T04:35:45.087863Z",
+ "iopub.status.busy": "2023-12-07T04:35:45.087122Z",
+ "iopub.status.idle": "2023-12-07T04:35:45.564483Z",
+ "shell.execute_reply": "2023-12-07T04:35:45.563830Z"
}
},
"outputs": [
@@ -1660,10 +1652,10 @@
"execution_count": 16,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:27.273108Z",
- "iopub.status.busy": "2023-12-05T01:38:27.272690Z",
- "iopub.status.idle": "2023-12-05T01:38:27.336098Z",
- "shell.execute_reply": "2023-12-05T01:38:27.335521Z"
+ "iopub.execute_input": "2023-12-07T04:35:45.567602Z",
+ "iopub.status.busy": "2023-12-07T04:35:45.567008Z",
+ "iopub.status.idle": "2023-12-07T04:35:45.631347Z",
+ "shell.execute_reply": "2023-12-07T04:35:45.630666Z"
}
},
"outputs": [
@@ -1767,10 +1759,10 @@
"execution_count": 17,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:27.338611Z",
- "iopub.status.busy": "2023-12-05T01:38:27.338227Z",
- "iopub.status.idle": "2023-12-05T01:38:27.347321Z",
- "shell.execute_reply": "2023-12-05T01:38:27.346696Z"
+ "iopub.execute_input": "2023-12-07T04:35:45.634039Z",
+ "iopub.status.busy": "2023-12-07T04:35:45.633568Z",
+ "iopub.status.idle": "2023-12-07T04:35:45.642461Z",
+ "shell.execute_reply": "2023-12-07T04:35:45.641875Z"
}
},
"outputs": [
@@ -1900,10 +1892,10 @@
"execution_count": 18,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:27.349555Z",
- "iopub.status.busy": "2023-12-05T01:38:27.349357Z",
- "iopub.status.idle": "2023-12-05T01:38:27.354228Z",
- "shell.execute_reply": "2023-12-05T01:38:27.353727Z"
+ "iopub.execute_input": "2023-12-07T04:35:45.645000Z",
+ "iopub.status.busy": "2023-12-07T04:35:45.644662Z",
+ "iopub.status.idle": "2023-12-07T04:35:45.649622Z",
+ "shell.execute_reply": "2023-12-07T04:35:45.649009Z"
},
"nbsphinx": "hidden"
},
@@ -1949,10 +1941,10 @@
"execution_count": 19,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:27.356593Z",
- "iopub.status.busy": "2023-12-05T01:38:27.356227Z",
- "iopub.status.idle": "2023-12-05T01:38:28.025731Z",
- "shell.execute_reply": "2023-12-05T01:38:28.025093Z"
+ "iopub.execute_input": "2023-12-07T04:35:45.651872Z",
+ "iopub.status.busy": "2023-12-07T04:35:45.651671Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.310843Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.310134Z"
}
},
"outputs": [
@@ -1987,10 +1979,10 @@
"execution_count": 20,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.028390Z",
- "iopub.status.busy": "2023-12-05T01:38:28.027917Z",
- "iopub.status.idle": "2023-12-05T01:38:28.036676Z",
- "shell.execute_reply": "2023-12-05T01:38:28.036054Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.313608Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.313163Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.321922Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.321312Z"
}
},
"outputs": [
@@ -2157,10 +2149,10 @@
"execution_count": 21,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.039815Z",
- "iopub.status.busy": "2023-12-05T01:38:28.039345Z",
- "iopub.status.idle": "2023-12-05T01:38:28.047434Z",
- "shell.execute_reply": "2023-12-05T01:38:28.046766Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.324399Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.323960Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.331671Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.331171Z"
},
"nbsphinx": "hidden"
},
@@ -2236,10 +2228,10 @@
"execution_count": 22,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.050185Z",
- "iopub.status.busy": "2023-12-05T01:38:28.049708Z",
- "iopub.status.idle": "2023-12-05T01:38:28.513039Z",
- "shell.execute_reply": "2023-12-05T01:38:28.512385Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.333974Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.333617Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.796405Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.795784Z"
}
},
"outputs": [
@@ -2276,10 +2268,10 @@
"execution_count": 23,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.515565Z",
- "iopub.status.busy": "2023-12-05T01:38:28.515172Z",
- "iopub.status.idle": "2023-12-05T01:38:28.530843Z",
- "shell.execute_reply": "2023-12-05T01:38:28.530340Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.799352Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.798905Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.820437Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.819808Z"
}
},
"outputs": [
@@ -2436,10 +2428,10 @@
"execution_count": 24,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.533503Z",
- "iopub.status.busy": "2023-12-05T01:38:28.533104Z",
- "iopub.status.idle": "2023-12-05T01:38:28.539082Z",
- "shell.execute_reply": "2023-12-05T01:38:28.538577Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.823197Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.822776Z",
+ "iopub.status.idle": "2023-12-07T04:35:46.828913Z",
+ "shell.execute_reply": "2023-12-07T04:35:46.828330Z"
},
"nbsphinx": "hidden"
},
@@ -2484,10 +2476,10 @@
"execution_count": 25,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.541396Z",
- "iopub.status.busy": "2023-12-05T01:38:28.540961Z",
- "iopub.status.idle": "2023-12-05T01:38:28.984735Z",
- "shell.execute_reply": "2023-12-05T01:38:28.984079Z"
+ "iopub.execute_input": "2023-12-07T04:35:46.831106Z",
+ "iopub.status.busy": "2023-12-07T04:35:46.830886Z",
+ "iopub.status.idle": "2023-12-07T04:35:47.279175Z",
+ "shell.execute_reply": "2023-12-07T04:35:47.278378Z"
}
},
"outputs": [
@@ -2562,10 +2554,10 @@
"execution_count": 26,
"metadata": {
"execution": {
- "iopub.execute_input": "2023-12-05T01:38:28.987802Z",
- "iopub.status.busy": "2023-12-05T01:38:28.987390Z",
- "iopub.status.idle": "2023-12-05T01:38:28.997369Z",
- "shell.execute_reply": "2023-12-05T01:38:28.996721Z"
+ "iopub.execute_input": "2023-12-07T04:35:47.282274Z",
+ "iopub.status.busy": "2023-12-07T04:35:47.282006Z",
+ "iopub.status.idle": "2023-12-07T04:35:47.292487Z",
+ "shell.execute_reply": "2023-12-07T04:35:47.291840Z"
}
},
"outputs": [
@@ -2590,47 +2582,47 @@
" \n",
" \n",
" \n",
" \n",
" \n",
- " is_dark_issue \n",
" dark_score \n",
+ " is_dark_issue \n",
"
Out-of-sample predicted class probabilities made by the model for every example in the dataset.
To best detect label issues, provide this input obtained from the most accurate model you can produce.
- If provided, this must be a 2D array with shape (num_examples, K) where K is the number of classes in the dataset.
+ For classification data, this must be a 2D array with shape ``(num_examples, K)`` where ``K`` is the number of classes in the dataset.
+ For regression data, this must be a 1D array with shape ``(num_examples,)`` containing the predicted value for each example.
features : Optional[np.ndarray]
Feature embeddings (vector representations) of every example in the dataset.
@@ -824,6 +829,7 @@ Source code for cleanlab.datalab.datalab
>>> # lab.find_issues(pred_probs=pred_probs, issue_types=issue_types)
"""
+
if issue_types is not None and not issue_types:
warnings.warn(
"No issue types were specified so no issues will be found in the dataset. Set `issue_types` as None to consider a default set of issues."
diff --git a/master/_modules/cleanlab/datalab/internal/data.html b/master/_modules/cleanlab/datalab/internal/data.html
index 50e408712..4c0db5443 100644
--- a/master/_modules/cleanlab/datalab/internal/data.html
+++ b/master/_modules/cleanlab/datalab/internal/data.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/data_issues.html b/master/_modules/cleanlab/datalab/internal/data_issues.html
index 68f7a9843..5b68356c2 100644
--- a/master/_modules/cleanlab/datalab/internal/data_issues.html
+++ b/master/_modules/cleanlab/datalab/internal/data_issues.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/issue_finder.html b/master/_modules/cleanlab/datalab/internal/issue_finder.html
index ca4ae5f5d..3318504b6 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_finder.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_finder.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
@@ -562,6 +566,7 @@
Source code for cleanlab.datalab.internal.issue_finder
_IssueManagerFactory,
list_default_issue_types,
)
+from cleanlab.datalab.internal.model_outputs import MultiClassPredProbs, RegressionPredictions
if TYPE_CHECKING: # pragma: no cover
import numpy.typing as npt
@@ -579,7 +584,7 @@ Source code for cleanlab.datalab.internal.issue_finder
"data_valuation": ["knn_graph"],
}
_REGRESSION_ARGS_DICT = {
- "label": ["features"],
+ "label": ["features", "predictions"],
}
@@ -733,7 +738,8 @@ Source code for cleanlab.datalab.internal.issue_finder
Out-of-sample predicted class probabilities made by the model for every example in the dataset.
To best detect label issues, provide this input obtained from the most accurate model you can produce.
- If provided, this must be a 2D array with shape (num_examples, K) where K is the number of classes in the dataset.
+ If provided for classification, this must be a 2D array with shape ``(num_examples, K)`` where K is the number of classes in the dataset.
+ If provided for regression, this must be a 1D array with shape ``(num_examples,)``.
features : Optional[np.ndarray]
Feature embeddings (vector representations) of every example in the dataset.
@@ -878,10 +884,24 @@ Source code for cleanlab.datalab.internal.issue_finder
"""Returns a dictionary of issue types that can be used in :py:meth:`Datalab.find_issues
<cleanlab.datalab.datalab.Datalab.find_issues>` method."""
+ pred_probs = kwargs.get("pred_probs", None)
features = kwargs.get("features", None)
knn_graph = kwargs.get("knn_graph", None)
issue_types = kwargs.get("issue_types", None)
+ model_output = None
+ if pred_probs is not None:
+ if self.task == "regression":
+ model_output = RegressionPredictions(pred_probs)
+ elif self.task == "classification":
+ model_output = MultiClassPredProbs(pred_probs)
+ else:
+ raise ValueError(f"Unknown task type '{self.task}'")
+
+ if model_output is not None:
+ # A basic trick to assign the model output to the correct argument
+ kwargs.update({model_output.argument: model_output.collect()})
+
# Determine which parameters are required for each issue type
strategy_for_resolving_required_args = _select_strategy_for_resolving_required_args(
self.task
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html b/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html
index df933899b..adc3a76cb 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_manager/duplicate.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/imbalance.html b/master/_modules/cleanlab/datalab/internal/issue_manager/imbalance.html
index b0f5e1b5b..544ea4a95 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_manager/imbalance.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_manager/imbalance.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/issue_manager.html b/master/_modules/cleanlab/datalab/internal/issue_manager/issue_manager.html
index 16eeda764..ddb0456ee 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_manager/issue_manager.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_manager/issue_manager.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/label.html b/master/_modules/cleanlab/datalab/internal/issue_manager/label.html
index 61ab18280..f746e39a2 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_manager/label.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_manager/label.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification
+- multilabel_classification
-- regression
+- regression
-- token_classification
+- token_classification
-- segmentation
+- segmentation
-- object_detection
+- object_detection
-- benchmarking
+- benchmarking
-- models
+- models
-- experimental
+- experimental
-- internal
+- internal
- util
- latent_algebra
- label_quality_utils
@@ -302,7 +306,7 @@
-- Datalab issue types
+- Datalab issue types
diff --git a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html
index e06081571..9b4da608d 100644
--- a/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html
+++ b/master/_modules/cleanlab/datalab/internal/issue_manager/noniid.html
@@ -229,6 +229,10 @@
- noniid
- imbalance
- null
+- regression
+- label
+
+
- report
@@ -243,52 +247,52 @@
- dataset
- outlier
- multiannotator
-- multilabel_classification