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diff --git a/master/.doctrees/migrating/migrate_v2.doctree b/master/.doctrees/migrating/migrate_v2.doctree
index 3220b9b64a856f654b81c23832226d96969eaf23..cea9251d35de8ead2414f007a9d97038572e3198 100644
GIT binary patch
delta 63
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RA}KW`#ni$)ZSfVx902vT7B~O^

delta 63
zcmca|oAJtR#tn-Z4J}fNjN)@s^YtxElZ_J13=It}OfAjK4HJ_S%?(V`5>reJQcW!_
S%uNlAfGP|UlNMiL%mDznNE9{z

diff --git a/master/.doctrees/nbsphinx/tutorials/audio.ipynb b/master/.doctrees/nbsphinx/tutorials/audio.ipynb
index 6f50fce62..292e02cfe 100644
--- a/master/.doctrees/nbsphinx/tutorials/audio.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/audio.ipynb
@@ -78,10 +78,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:18.361812Z",
-     "iopub.status.busy": "2024-02-07T22:09:18.361636Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.711531Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.710898Z"
+     "iopub.execute_input": "2024-02-07T23:50:00.107221Z",
+     "iopub.status.busy": "2024-02-07T23:50:00.107063Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.972205Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.971588Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:09:23.714287Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.713904Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.717701Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.717275Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.974847Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.974485Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.977602Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.977185Z"
     },
     "id": "LaEiwXUiVHCS"
    },
@@ -157,10 +157,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:23.719659Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.719476Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.723985Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.723572Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.979500Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.979321Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.983925Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.983480Z"
     },
     "nbsphinx": "hidden"
    },
@@ -208,10 +208,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:23.725972Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.725707Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.249850Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.249225Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.986003Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.985618Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.549578Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.548944Z"
     },
     "id": "GRDPEg7-VOQe",
     "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6"
@@ -242,10 +242,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.252557Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.252169Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.263474Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.262738Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.552344Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.551958Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.562444Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.561881Z"
     },
     "id": "FDA5sGZwUSur",
     "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895"
@@ -329,10 +329,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.296003Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.295584Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.301465Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.300981Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.593982Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.593548Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.599022Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.598581Z"
     },
     "nbsphinx": "hidden"
    },
@@ -380,10 +380,10 @@
      "height": 92
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.303281Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.303109Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.749448Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.748880Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.600905Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.600729Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.080952Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.080367Z"
     },
     "id": "dLBvUZLlII5w",
     "outputId": "c6a4917f-4a82-4a89-9193-415072e45550"
@@ -435,10 +435,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.751700Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.751373Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.514501Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.513900Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.083112Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.082774Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.698361Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.697874Z"
     },
     "id": "vL9lkiKsHvKr"
    },
@@ -474,10 +474,10 @@
      "height": 143
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.516952Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.516772Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.536940Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.536500Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.700875Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.700453Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.720767Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.720213Z"
     },
     "id": "obQYDKdLiUU6",
     "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4"
@@ -557,10 +557,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.538937Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.538682Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.541623Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.541204Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.722821Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.722441Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.725646Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.725101Z"
     },
     "id": "I8JqhOZgi94g"
    },
@@ -582,10 +582,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.543564Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.543237Z",
-     "iopub.status.idle": "2024-02-07T22:09:41.167409Z",
-     "shell.execute_reply": "2024-02-07T22:09:41.166804Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.727549Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.727193Z",
+     "iopub.status.idle": "2024-02-07T23:50:21.686992Z",
+     "shell.execute_reply": "2024-02-07T23:50:21.686381Z"
     },
     "id": "2FSQ2GR9R_YA"
    },
@@ -627,10 +627,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:41.170099Z",
-     "iopub.status.busy": "2024-02-07T22:09:41.169730Z",
-     "iopub.status.idle": "2024-02-07T22:09:41.173537Z",
-     "shell.execute_reply": "2024-02-07T22:09:41.173080Z"
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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 eb98a395e..2aa010cbc 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_advanced.ipynb
@@ -80,10 +80,10 @@
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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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
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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",
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+       "_view_name": "ProgressView",
+       "bar_style": "success",
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@@ -1713,7 +1695,7 @@
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@@ -1766,7 +1748,7 @@
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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 27e694d83..38a0df9fa 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/datalab_quickstart.ipynb
@@ -78,10 +78,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
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-     "iopub.status.busy": "2024-02-07T22:09:51.943895Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.035775Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.035210Z"
+     "iopub.execute_input": "2024-02-07T23:50:32.050037Z",
+     "iopub.status.busy": "2024-02-07T23:50:32.049655Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.121241Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.120710Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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,
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-     "shell.execute_reply": "2024-02-07T22:09:53.040446Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.123591Z",
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@@ -250,10 +250,10 @@
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-     "shell.execute_reply": "2024-02-07T22:09:53.051179Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.128077Z",
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@@ -356,10 +356,10 @@
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-     "shell.execute_reply": "2024-02-07T22:09:53.057763Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.138407Z",
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@@ -448,10 +448,10 @@
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-     "shell.execute_reply": "2024-02-07T22:09:53.243265Z"
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@@ -520,10 +520,10 @@
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@@ -559,10 +559,10 @@
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@@ -601,10 +601,10 @@
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@@ -646,10 +646,10 @@
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@@ -701,10 +701,10 @@
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@@ -834,10 +834,10 @@
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@@ -941,10 +941,10 @@
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@@ -1011,10 +1011,10 @@
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@@ -1187,10 +1187,10 @@
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@@ -1306,10 +1306,10 @@
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@@ -1434,10 +1434,10 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
index 69da62e85..89256cb69 100644
--- a/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/datalab/tabular.ipynb
@@ -74,10 +74,10 @@
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@@ -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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -112,10 +112,10 @@
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@@ -155,10 +155,10 @@
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-     "iopub.status.idle": "2024-02-07T22:09:59.401377Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.400748Z"
+     "iopub.execute_input": "2024-02-07T23:50:38.931765Z",
+     "iopub.status.busy": "2024-02-07T23:50:38.931526Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.058331Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.057887Z"
     }
    },
    "outputs": [
@@ -265,10 +265,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.403384Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.403180Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.407799Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.407346Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.060129Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.059952Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.064178Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.063670Z"
     }
    },
    "outputs": [],
@@ -289,10 +289,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.409634Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.409460Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.417606Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.417193Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.066362Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.065950Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.076608Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.076042Z"
     }
    },
    "outputs": [],
@@ -337,10 +337,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.419486Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.419287Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.421813Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.421375Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.078928Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.078751Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.083266Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.082562Z"
     }
    },
    "outputs": [],
@@ -362,10 +362,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.423749Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.423432Z",
-     "iopub.status.idle": "2024-02-07T22:10:02.368926Z",
-     "shell.execute_reply": "2024-02-07T22:10:02.368252Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.086189Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.085768Z",
+     "iopub.status.idle": "2024-02-07T23:50:42.065051Z",
+     "shell.execute_reply": "2024-02-07T23:50:42.064424Z"
     }
    },
    "outputs": [],
@@ -401,10 +401,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:02.371956Z",
-     "iopub.status.busy": "2024-02-07T22:10:02.371532Z",
-     "iopub.status.idle": "2024-02-07T22:10:02.381528Z",
-     "shell.execute_reply": "2024-02-07T22:10:02.380946Z"
+     "iopub.execute_input": "2024-02-07T23:50:42.067604Z",
+     "iopub.status.busy": "2024-02-07T23:50:42.067419Z",
+     "iopub.status.idle": "2024-02-07T23:50:42.077021Z",
+     "shell.execute_reply": "2024-02-07T23:50:42.076618Z"
     }
    },
    "outputs": [],
@@ -436,10 +436,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:02.383882Z",
-     "iopub.status.busy": "2024-02-07T22:10:02.383431Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.216983Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.216362Z"
+     "iopub.execute_input": "2024-02-07T23:50:42.078892Z",
+     "iopub.status.busy": "2024-02-07T23:50:42.078719Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.738703Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.738023Z"
     }
    },
    "outputs": [
@@ -475,10 +475,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.220917Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.219625Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.241581Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.241080Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.741956Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.741196Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.761486Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.760971Z"
     },
     "scrolled": true
    },
@@ -604,10 +604,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.245130Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.244225Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.255345Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.254854Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.764641Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.763724Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.774658Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.774184Z"
     }
    },
    "outputs": [
@@ -711,10 +711,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.258823Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.257919Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.270597Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.270094Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.778049Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.777135Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.789631Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.789124Z"
     }
    },
    "outputs": [
@@ -843,10 +843,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.274181Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.273266Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.284928Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.284408Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.793061Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.792169Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.803071Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.802586Z"
     }
    },
    "outputs": [
@@ -960,10 +960,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.288692Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.287752Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.301331Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.300828Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.806458Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.805573Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.817839Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.817365Z"
     }
    },
    "outputs": [
@@ -1074,10 +1074,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.304987Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.304078Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.312203Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.311804Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.821198Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.820286Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.829526Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.828987Z"
     }
    },
    "outputs": [
@@ -1161,10 +1161,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.315003Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.314273Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.321246Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.320693Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.831641Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.831471Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.837592Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.837146Z"
     }
    },
    "outputs": [
@@ -1257,10 +1257,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.323382Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.323031Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.329588Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.328964Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.839485Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.839314Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.845958Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.845400Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb b/master/.doctrees/nbsphinx/tutorials/datalab/text.ipynb
index 18dadf034..d297bd27d 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": "2024-02-07T22:10:06.947323Z",
-     "iopub.status.busy": "2024-02-07T22:10:06.947148Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.939027Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.938409Z"
+     "iopub.execute_input": "2024-02-07T23:50:46.233862Z",
+     "iopub.status.busy": "2024-02-07T23:50:46.233691Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.479909Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.479357Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:10:09.941621Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.941215Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.944579Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.944140Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.482307Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.482016Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.485135Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.484703Z"
     }
    },
    "outputs": [],
@@ -145,10 +145,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.946445Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.946183Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.949100Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.948667Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.487098Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.486785Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.489812Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.489306Z"
     },
     "nbsphinx": "hidden"
    },
@@ -178,10 +178,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.951000Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.950733Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.991047Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.990478Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.491745Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.491425Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.528987Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.528551Z"
     }
    },
    "outputs": [
@@ -271,10 +271,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.993279Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.992913Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.996608Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.996099Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.530871Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.530546Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.533966Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.533472Z"
     }
    },
    "outputs": [
@@ -283,7 +283,7 @@
      "output_type": "stream",
      "text": [
       "This dataset has 10 classes.\n",
-      "Classes: {'visa_or_mastercard', 'getting_spare_card', 'apple_pay_or_google_pay', 'beneficiary_not_allowed', 'change_pin', 'card_about_to_expire', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'cancel_transfer', 'card_payment_fee_charged'}\n"
+      "Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'cancel_transfer', 'getting_spare_card', 'card_about_to_expire', 'supported_cards_and_currencies', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'visa_or_mastercard', 'change_pin'}\n"
      ]
     }
    ],
@@ -307,10 +307,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.998677Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.998368Z",
-     "iopub.status.idle": "2024-02-07T22:10:10.001537Z",
-     "shell.execute_reply": "2024-02-07T22:10:10.000982Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.535879Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.535606Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.538753Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.538216Z"
     }
    },
    "outputs": [
@@ -365,17 +365,17 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:10.003570Z",
-     "iopub.status.busy": "2024-02-07T22:10:10.003251Z",
-     "iopub.status.idle": "2024-02-07T22:10:14.583265Z",
-     "shell.execute_reply": "2024-02-07T22:10:14.582629Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.540840Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.540442Z",
+     "iopub.status.idle": "2024-02-07T23:50:53.722382Z",
+     "shell.execute_reply": "2024-02-07T23:50:53.721737Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0d885c1a34b04b04a65e76462bc7f8ae",
+       "model_id": "c122193addbf4629b7ada89af7819966",
        "version_major": 2,
        "version_minor": 0
       },
@@ -389,7 +389,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "70b899115926475ab4ca6289cac6f98d",
+       "model_id": "49733f926f10403491687cd4d40d244f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -403,7 +403,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "455cdf2910fc4c79acb1d3b1b36f013d",
+       "model_id": "e83d2ad65dac4e88a3f2ccde21d67f7f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -417,7 +417,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "617ccbb8f42e4c1da705cc6973aae912",
+       "model_id": "294346972e994e1c991aae390ff08179",
        "version_major": 2,
        "version_minor": 0
       },
@@ -431,7 +431,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a965f31be8c34295846ad4a509228998",
+       "model_id": "9a65587ca1b94945af7dcc0cfc29a026",
        "version_major": 2,
        "version_minor": 0
       },
@@ -445,7 +445,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c48d71673f824ce380d94b6bc999083a",
+       "model_id": "8e9d9888450346db8e3954d17cef036f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -459,7 +459,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4eef59cd705841408e36d8db6510b5db",
+       "model_id": "2dd173e0deec4bd6bc92ad03b5a7656c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -521,10 +521,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:14.586075Z",
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       "model_name": "LayoutModel",
@@ -4042,7 +4039,7 @@
        "width": null
       }
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-     "f4fb247100d34699900ba0b2436078d6": {
+     "fe6c1ad7ef28465084828be32acd21c5": {
       "model_module": "@jupyter-widgets/base",
       "model_module_version": "2.0.0",
       "model_name": "LayoutModel",
@@ -4095,27 +4092,30 @@
        "width": null
       }
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-     "fb88ef6b95a5461989853ce1b5f754ca": {
+     "ffda121f1cd44363b9efc3901ed1f0fa": {
       "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_cbc42ac422f34e828447b08b2c8086e8",
-       "placeholder": "​",
-       "style": "IPY_MODEL_b0431ac60b4b4851a994c3f65b39fe27",
+       "layout": "IPY_MODEL_5355024e5df14205a7c989138994be48",
+       "max": 29.0,
+       "min": 0.0,
+       "orientation": "horizontal",
+       "style": "IPY_MODEL_4026be558dc041d182c88249f880078e",
        "tabbable": null,
        "tooltip": null,
-       "value": "pytorch_model.bin: 100%"
+       "value": 29.0
       }
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     },
diff --git a/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb b/master/.doctrees/nbsphinx/tutorials/dataset_health.ipynb
index 4d4c8909b..a656e6dee 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": {
-     "iopub.execute_input": "2024-02-07T22:10:20.445577Z",
-     "iopub.status.busy": "2024-02-07T22:10:20.445400Z",
-     "iopub.status.idle": "2024-02-07T22:10:21.481005Z",
-     "shell.execute_reply": "2024-02-07T22:10:21.480362Z"
+     "iopub.execute_input": "2024-02-07T23:50:59.127525Z",
+     "iopub.status.busy": "2024-02-07T23:50:59.127102Z",
+     "iopub.status.idle": "2024-02-07T23:51:00.150396Z",
+     "shell.execute_reply": "2024-02-07T23:51:00.149892Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:10:21.483771Z",
-     "iopub.status.busy": "2024-02-07T22:10:21.483236Z",
-     "iopub.status.idle": "2024-02-07T22:10:21.486136Z",
-     "shell.execute_reply": "2024-02-07T22:10:21.485591Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.153121Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.152624Z",
+     "iopub.status.idle": "2024-02-07T23:51:00.155459Z",
+     "shell.execute_reply": "2024-02-07T23:51:00.154942Z"
     },
     "id": "_UvI80l42iyi"
    },
@@ -201,10 +201,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:21.488244Z",
-     "iopub.status.busy": "2024-02-07T22:10:21.487938Z",
-     "iopub.status.idle": "2024-02-07T22:10:21.499556Z",
-     "shell.execute_reply": "2024-02-07T22:10:21.499007Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.157665Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.157286Z",
+     "iopub.status.idle": "2024-02-07T23:51:00.168842Z",
+     "shell.execute_reply": "2024-02-07T23:51:00.168305Z"
     },
     "nbsphinx": "hidden"
    },
@@ -283,10 +283,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:21.501697Z",
-     "iopub.status.busy": "2024-02-07T22:10:21.501285Z",
-     "iopub.status.idle": "2024-02-07T22:10:25.286494Z",
-     "shell.execute_reply": "2024-02-07T22:10:25.286003Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.170850Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.170540Z",
+     "iopub.status.idle": "2024-02-07T23:51:03.496922Z",
+     "shell.execute_reply": "2024-02-07T23:51:03.496339Z"
     },
     "id": "dhTHOg8Pyv5G"
    },
@@ -692,13 +692,7 @@
       "\n",
       "\n",
       "🎯 Mnist_test_set 🎯\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "\n",
       "\n",
       "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n",
       "\n",
diff --git a/master/.doctrees/nbsphinx/tutorials/faq.ipynb b/master/.doctrees/nbsphinx/tutorials/faq.ipynb
index a7665e67c..2827a0233 100644
--- a/master/.doctrees/nbsphinx/tutorials/faq.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/faq.ipynb
@@ -18,10 +18,10 @@
    "id": "2a4efdde",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:27.452546Z",
-     "iopub.status.busy": "2024-02-07T22:10:27.452375Z",
-     "iopub.status.idle": "2024-02-07T22:10:28.497741Z",
-     "shell.execute_reply": "2024-02-07T22:10:28.497182Z"
+     "iopub.execute_input": "2024-02-07T23:51:05.455012Z",
+     "iopub.status.busy": "2024-02-07T23:51:05.454838Z",
+     "iopub.status.idle": "2024-02-07T23:51:06.473290Z",
+     "shell.execute_reply": "2024-02-07T23:51:06.472687Z"
     },
     "nbsphinx": "hidden"
    },
@@ -97,10 +97,10 @@
    "id": "239d5ee7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:28.500549Z",
-     "iopub.status.busy": "2024-02-07T22:10:28.500102Z",
-     "iopub.status.idle": "2024-02-07T22:10:28.503908Z",
-     "shell.execute_reply": "2024-02-07T22:10:28.503487Z"
+     "iopub.execute_input": "2024-02-07T23:51:06.476374Z",
+     "iopub.status.busy": "2024-02-07T23:51:06.476069Z",
+     "iopub.status.idle": "2024-02-07T23:51:06.480293Z",
+     "shell.execute_reply": "2024-02-07T23:51:06.479735Z"
     }
    },
    "outputs": [],
@@ -136,10 +136,10 @@
    "id": "28b324aa",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:28.505941Z",
-     "iopub.status.busy": "2024-02-07T22:10:28.505673Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.465345Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.464742Z"
+     "iopub.execute_input": "2024-02-07T23:51:06.482920Z",
+     "iopub.status.busy": "2024-02-07T23:51:06.482459Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.338068Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.337471Z"
     }
    },
    "outputs": [],
@@ -162,10 +162,10 @@
    "id": "28b324ab",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.468561Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.467758Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.504646Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.504063Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.340898Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.340331Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.370728Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.370021Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
    "id": "90c10e18",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.507191Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.506891Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.538074Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.537474Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.373389Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.373025Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.401579Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.400876Z"
     }
    },
    "outputs": [],
@@ -213,10 +213,10 @@
    "id": "88839519",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.540560Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.540268Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.543180Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.542750Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.404372Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.403951Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.407421Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.407008Z"
     }
    },
    "outputs": [],
@@ -238,10 +238,10 @@
    "id": "558490c2",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.545134Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.544882Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.547427Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.546973Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.409324Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.409015Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.411602Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.411146Z"
     }
    },
    "outputs": [],
@@ -298,10 +298,10 @@
    "id": "41714b51",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.549452Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.549197Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.571926Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.571367Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.413787Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.413391Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.438151Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.437621Z"
     }
    },
    "outputs": [
@@ -315,7 +315,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "2c25091c0e304b75a635d082e4c6a8ae",
+       "model_id": "1f0a59e748704a83935f5135d15c1d2b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -329,7 +329,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "05cb13f0b3d24b2c80ccb203c55bfb3a",
+       "model_id": "13ee7841383649f8b84f5a090929a0f2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -387,10 +387,10 @@
    "id": "20476c70",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.579230Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.578965Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.585408Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.584997Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.443984Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.443652Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.449921Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.449510Z"
     },
     "nbsphinx": "hidden"
    },
@@ -421,10 +421,10 @@
    "id": "6983cdad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.587392Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.587038Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.590434Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.589989Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.451774Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.451528Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.454944Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.454496Z"
     },
     "nbsphinx": "hidden"
    },
@@ -447,10 +447,10 @@
    "id": "9092b8a0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.592502Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.592174Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.598237Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.597809Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.456868Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.456584Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.462775Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.462226Z"
     }
    },
    "outputs": [],
@@ -500,10 +500,10 @@
    "id": "b0a01109",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.600071Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.599903Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.635926Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.635199Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.464784Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.464418Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.496417Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.495700Z"
     }
    },
    "outputs": [],
@@ -520,10 +520,10 @@
    "id": "8b1da032",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.638662Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.638298Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.672896Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.672308Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.498767Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.498552Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.526519Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.525829Z"
     },
     "nbsphinx": "hidden"
    },
@@ -602,10 +602,10 @@
    "id": "4c9e9030",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.675572Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.675187Z",
-     "iopub.status.idle": "2024-02-07T22:10:31.803427Z",
-     "shell.execute_reply": "2024-02-07T22:10:31.802840Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.529394Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.528909Z",
+     "iopub.status.idle": "2024-02-07T23:51:09.651328Z",
+     "shell.execute_reply": "2024-02-07T23:51:09.650790Z"
     }
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    "outputs": [
@@ -672,10 +672,10 @@
    "id": "8751619e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:31.806059Z",
-     "iopub.status.busy": "2024-02-07T22:10:31.805418Z",
-     "iopub.status.idle": "2024-02-07T22:10:34.901493Z",
-     "shell.execute_reply": "2024-02-07T22:10:34.900838Z"
+     "iopub.execute_input": "2024-02-07T23:51:09.654079Z",
+     "iopub.status.busy": "2024-02-07T23:51:09.653293Z",
+     "iopub.status.idle": "2024-02-07T23:51:12.638133Z",
+     "shell.execute_reply": "2024-02-07T23:51:12.637512Z"
     }
    },
    "outputs": [
@@ -761,10 +761,10 @@
    "id": "623df36d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:34.903881Z",
-     "iopub.status.busy": "2024-02-07T22:10:34.903524Z",
-     "iopub.status.idle": "2024-02-07T22:10:34.961241Z",
-     "shell.execute_reply": "2024-02-07T22:10:34.960728Z"
+     "iopub.execute_input": "2024-02-07T23:51:12.640414Z",
+     "iopub.status.busy": "2024-02-07T23:51:12.640232Z",
+     "iopub.status.idle": "2024-02-07T23:51:12.700289Z",
+     "shell.execute_reply": "2024-02-07T23:51:12.699728Z"
     }
    },
    "outputs": [
@@ -1206,7 +1206,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "fc603ddf",
+   "id": "ce26211e",
    "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": "3eef2541",
+   "id": "b06d92f4",
    "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": "bee6fe2a",
+   "id": "ea762ae8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:34.963472Z",
-     "iopub.status.busy": "2024-02-07T22:10:34.963133Z",
-     "iopub.status.idle": "2024-02-07T22:10:35.059654Z",
-     "shell.execute_reply": "2024-02-07T22:10:35.059063Z"
+     "iopub.execute_input": "2024-02-07T23:51:12.702418Z",
+     "iopub.status.busy": "2024-02-07T23:51:12.702105Z",
+     "iopub.status.idle": "2024-02-07T23:51:12.780616Z",
+     "shell.execute_reply": "2024-02-07T23:51:12.780126Z"
     }
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diff --git a/master/.doctrees/nbsphinx/tutorials/image.ipynb b/master/.doctrees/nbsphinx/tutorials/image.ipynb
index 1ddbcfb2b..b5eaf0560 100644
--- a/master/.doctrees/nbsphinx/tutorials/image.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/image.ipynb
@@ -71,10 +71,10 @@
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@@ -112,10 +112,10 @@
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@@ -152,17 +152,17 @@
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-      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.623\n",
+      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.443\n",
       "Computing feature embeddings ...\n"
      ]
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@@ -922,7 +922,7 @@
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+      " 40%|████      | 16/40 [00:00<00:00, 55.44it/s]"
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     {
@@ -1070,14 +1070,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.760\n"
+      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.622\n"
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     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.601\n",
+      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.436\n",
       "Computing feature embeddings ...\n"
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@@ -1094,7 +1094,7 @@
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+      " 42%|████▎     | 17/40 [00:00<00:00, 59.02it/s]"
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+      " 42%|████▎     | 17/40 [00:00<00:00, 55.65it/s]"
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@@ -1196,7 +1196,7 @@
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+      " 60%|██████    | 24/40 [00:00<00:00, 60.53it/s]"
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+      " 80%|████████  | 32/40 [00:00<00:00, 64.95it/s]"
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-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r",
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+      "100%|██████████| 40/40 [00:00<00:00, 61.46it/s]"
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     {
@@ -1297,10 +1289,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:45.585975Z",
-     "iopub.status.busy": "2024-02-07T22:11:45.585741Z",
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-     "shell.execute_reply": "2024-02-07T22:11:45.599732Z"
+     "iopub.execute_input": "2024-02-07T23:52:21.125104Z",
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@@ -1325,10 +1317,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:45.602241Z",
-     "iopub.status.busy": "2024-02-07T22:11:45.601991Z",
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-     "shell.execute_reply": "2024-02-07T22:11:46.070732Z"
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@@ -1348,10 +1340,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:46.073789Z",
-     "iopub.status.busy": "2024-02-07T22:11:46.073607Z",
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-     "shell.execute_reply": "2024-02-07T22:15:13.725548Z"
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     }
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    "outputs": [
@@ -1390,7 +1382,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "06bcff0001014bfb950d1828761c0eaa",
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        "version_major": 2,
        "version_minor": 0
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@@ -1429,10 +1421,10 @@
    "execution_count": 15,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:13.728842Z",
-     "iopub.status.busy": "2024-02-07T22:15:13.728169Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.182926Z"
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@@ -1580,10 +1572,10 @@
    "execution_count": 16,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:14.186298Z",
-     "iopub.status.busy": "2024-02-07T22:15:14.185789Z",
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@@ -1687,10 +1679,10 @@
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-     "shell.execute_reply": "2024-02-07T22:15:14.257501Z"
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@@ -1820,10 +1812,10 @@
    "execution_count": 18,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:14.259872Z",
-     "iopub.status.busy": "2024-02-07T22:15:14.259698Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.264180Z"
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@@ -1869,10 +1861,10 @@
    "execution_count": 19,
    "metadata": {
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-     "shell.execute_reply": "2024-02-07T22:15:14.771240Z"
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@@ -1907,10 +1899,10 @@
    "execution_count": 20,
    "metadata": {
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-     "shell.execute_reply": "2024-02-07T22:15:14.781863Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.565638Z",
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@@ -2077,10 +2069,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-07T22:15:14.792106Z"
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@@ -2156,10 +2148,10 @@
    "execution_count": 22,
    "metadata": {
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-     "shell.execute_reply": "2024-02-07T22:15:15.265586Z"
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    "outputs": [
@@ -2196,10 +2188,10 @@
    "execution_count": 23,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:15.268447Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.284211Z"
+     "iopub.execute_input": "2024-02-07T23:55:48.048037Z",
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     }
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    "outputs": [
@@ -2356,10 +2348,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:15.287144Z",
-     "iopub.status.busy": "2024-02-07T22:15:15.286677Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.292999Z"
+     "iopub.execute_input": "2024-02-07T23:55:48.064581Z",
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@@ -2404,10 +2396,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:15.295629Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.766576Z"
+     "iopub.execute_input": "2024-02-07T23:55:48.071509Z",
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     }
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    "outputs": [
@@ -2489,10 +2481,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:15.770046Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.779737Z"
+     "iopub.execute_input": "2024-02-07T23:55:48.542136Z",
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     }
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    "outputs": [
@@ -2620,10 +2612,10 @@
    "execution_count": 27,
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@@ -2660,10 +2652,10 @@
    "execution_count": 28,
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@@ -2705,10 +2697,10 @@
    "execution_count": 29,
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@@ -2733,47 +2725,47 @@
        "  \n",
        "    \n",
        "      \n",
-       "      is_low_information_issue\n",
        "      low_information_score\n",
+       "      is_low_information_issue\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      53050\n",
-       "      True\n",
        "      0.067975\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      40875\n",
-       "      True\n",
        "      0.089929\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      9594\n",
-       "      True\n",
        "      0.092601\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      34825\n",
-       "      True\n",
        "      0.107744\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      37530\n",
-       "      True\n",
        "      0.108516\n",
+       "      True\n",
        "    \n",
        "  \n",
        "\n",
        ""
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       "text/plain": [
-       "       is_low_information_issue  low_information_score\n",
-       "53050                      True               0.067975\n",
-       "40875                      True               0.089929\n",
-       "9594                       True               0.092601\n",
-       "34825                      True               0.107744\n",
-       "37530                      True               0.108516"
+       "       low_information_score  is_low_information_issue\n",
+       "53050               0.067975                      True\n",
+       "40875               0.089929                      True\n",
+       "9594                0.092601                      True\n",
+       "34825               0.107744                      True\n",
+       "37530               0.108516                      True"
       ]
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      "execution_count": 29,
@@ -2794,10 +2786,10 @@
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@@ -2837,10 +2829,10 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb
index eedb2b4a0..fcbca0822 100644
--- a/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/indepth_overview.ipynb
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-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
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+     "iopub.status.idle": "2024-02-07T23:55:54.325624Z",
+     "shell.execute_reply": "2024-02-07T23:55:54.325176Z"
     }
    },
    "outputs": [],
@@ -427,10 +427,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:22.914485Z",
-     "iopub.status.busy": "2024-02-07T22:15:22.913996Z",
-     "iopub.status.idle": "2024-02-07T22:15:24.619121Z",
-     "shell.execute_reply": "2024-02-07T22:15:24.618526Z"
+     "iopub.execute_input": "2024-02-07T23:55:54.327440Z",
+     "iopub.status.busy": "2024-02-07T23:55:54.327261Z",
+     "iopub.status.idle": "2024-02-07T23:55:55.923609Z",
+     "shell.execute_reply": "2024-02-07T23:55:55.922962Z"
     }
    },
    "outputs": [
@@ -473,10 +473,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:24.621699Z",
-     "iopub.status.busy": "2024-02-07T22:15:24.621099Z",
-     "iopub.status.idle": "2024-02-07T22:15:24.637180Z",
-     "shell.execute_reply": "2024-02-07T22:15:24.636739Z"
+     "iopub.execute_input": "2024-02-07T23:55:55.926111Z",
+     "iopub.status.busy": "2024-02-07T23:55:55.925634Z",
+     "iopub.status.idle": "2024-02-07T23:55:55.942989Z",
+     "shell.execute_reply": "2024-02-07T23:55:55.942452Z"
     },
     "scrolled": true
    },
@@ -603,10 +603,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:24.639293Z",
-     "iopub.status.busy": "2024-02-07T22:15:24.639017Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.071028Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.070435Z"
+     "iopub.execute_input": "2024-02-07T23:55:55.944841Z",
+     "iopub.status.busy": "2024-02-07T23:55:55.944659Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.319622Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.319078Z"
     },
     "id": "AaHC5MRKjruT"
    },
@@ -725,10 +725,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.073837Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.073006Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.086788Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.086329Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.322169Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.321580Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.335184Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.334645Z"
     },
     "id": "Wy27rvyhjruU"
    },
@@ -777,10 +777,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.089018Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.088676Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.166965Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.166362Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.337271Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.336902Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.408692Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.408157Z"
     },
     "id": "Db8YHnyVjruU"
    },
@@ -887,10 +887,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.169567Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.169069Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.381855Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.381243Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.410865Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.410584Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.618710Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.618185Z"
     },
     "id": "iJqAHuS2jruV"
    },
@@ -927,10 +927,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.383995Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.383801Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.401001Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.400532Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.620862Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.620521Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.636978Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.636540Z"
     },
     "id": "PcPTZ_JJG3Cx"
    },
@@ -1396,10 +1396,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.403060Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.402733Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.412648Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.412212Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.638931Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.638611Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.648032Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.647545Z"
     },
     "id": "0lonvOYvjruV"
    },
@@ -1546,10 +1546,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.414515Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.414337Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.507527Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.506872Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.650008Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.649677Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.735094Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.734511Z"
     },
     "id": "MfqTCa3kjruV"
    },
@@ -1630,10 +1630,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.510067Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.509583Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.645559Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.645002Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.737432Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.737237Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.855160Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.854608Z"
     },
     "id": "9ZtWAYXqMAPL"
    },
@@ -1693,10 +1693,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.647901Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.647610Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.651464Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.650960Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.857572Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.857138Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.861016Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.860464Z"
     },
     "id": "0rXP3ZPWjruW"
    },
@@ -1734,10 +1734,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.653401Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.653143Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.656733Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.656187Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.863057Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.862660Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.866556Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.865984Z"
     },
     "id": "-iRPe8KXjruW"
    },
@@ -1792,10 +1792,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.658643Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.658386Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.695310Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.694804Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.868833Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.868415Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.905529Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.905083Z"
     },
     "id": "ZpipUliyjruW"
    },
@@ -1846,10 +1846,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.697492Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.697153Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.740554Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.739987Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.907438Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.907262Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.950758Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.950272Z"
     },
     "id": "SLq-3q4xjruX"
    },
@@ -1918,10 +1918,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.742713Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.742403Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.841701Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.840988Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.952847Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.952459Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.044023Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.043409Z"
     },
     "id": "g5LHhhuqFbXK"
    },
@@ -1953,10 +1953,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.844347Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.844156Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.944490Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.943909Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.046632Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.046286Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.131106Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.130530Z"
     },
     "id": "p7w8F8ezBcet"
    },
@@ -2013,10 +2013,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.946747Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.946443Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.154696Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.154138Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.133293Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.133056Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.344933Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.344357Z"
     },
     "id": "WETRL74tE_sU"
    },
@@ -2051,10 +2051,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.156796Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.156608Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.353494Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.352882Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.347184Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.346751Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.510583Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.509985Z"
     },
     "id": "kCfdx2gOLmXS"
    },
@@ -2216,10 +2216,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.355739Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.355551Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.361595Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.361143Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.512995Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.512569Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.518373Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.517831Z"
     },
     "id": "-uogYRWFYnuu"
    },
@@ -2273,10 +2273,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.363428Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.363240Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.581468Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.580881Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.520271Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.520096Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.734987Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.734456Z"
     },
     "id": "pG-ljrmcYp9Q"
    },
@@ -2323,10 +2323,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.583753Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.583416Z",
-     "iopub.status.idle": "2024-02-07T22:15:28.654066Z",
-     "shell.execute_reply": "2024-02-07T22:15:28.653455Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.737174Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.736837Z",
+     "iopub.status.idle": "2024-02-07T23:55:59.819273Z",
+     "shell.execute_reply": "2024-02-07T23:55:59.818745Z"
     },
     "id": "wL3ngCnuLEWd"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb b/master/.doctrees/nbsphinx/tutorials/multiannotator.ipynb
index c986eebc5..faeef8745 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": "2024-02-07T22:15:32.145853Z",
-     "iopub.status.busy": "2024-02-07T22:15:32.145685Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.233957Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.233337Z"
+     "iopub.execute_input": "2024-02-07T23:56:03.103506Z",
+     "iopub.status.busy": "2024-02-07T23:56:03.103340Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.118950Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.118459Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:33.236597Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.236316Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.239477Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.238940Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.121683Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.121265Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.124434Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.123985Z"
     }
    },
    "outputs": [],
@@ -264,10 +264,10 @@
    "id": "c37c0a69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.241447Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.241135Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.248930Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.248387Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.126463Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.126136Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.133993Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.133459Z"
     },
     "nbsphinx": "hidden"
    },
@@ -351,10 +351,10 @@
    "id": "99f69523",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.250950Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.250645Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.298657Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.298050Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.136023Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.135616Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.188425Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.187883Z"
     }
    },
    "outputs": [],
@@ -380,10 +380,10 @@
    "id": "8f241c16",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.300978Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.300771Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.318345Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.317890Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.190556Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.190390Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.206810Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.206304Z"
     }
    },
    "outputs": [
@@ -598,10 +598,10 @@
    "id": "4f0819ba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.320328Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.320023Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.323869Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.323430Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.208783Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.208482Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.212185Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.211662Z"
     }
    },
    "outputs": [
@@ -672,10 +672,10 @@
    "id": "d009f347",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.325943Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.325647Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.356671Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.356095Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.214215Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.213913Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.240502Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.240094Z"
     }
    },
    "outputs": [],
@@ -699,10 +699,10 @@
    "id": "cbd1e415",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.358903Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.358588Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.385755Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.385132Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.242411Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.242089Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.268227Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.267681Z"
     }
    },
    "outputs": [],
@@ -739,10 +739,10 @@
    "id": "6ca92617",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.388411Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.388028Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.180954Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.180351Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.270386Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.270015Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.942630Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.942094Z"
     }
    },
    "outputs": [],
@@ -772,10 +772,10 @@
    "id": "bf945113",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.183842Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.183215Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.190451Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.190006Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.945098Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.944826Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.951226Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.950773Z"
     },
     "scrolled": true
    },
@@ -886,10 +886,10 @@
    "id": "14251ee0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.192648Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.192320Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.204677Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.204232Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.953087Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.952918Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.965050Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.964629Z"
     }
    },
    "outputs": [
@@ -1139,10 +1139,10 @@
    "id": "efe16638",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.206669Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.206301Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.212711Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.212172Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.966796Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.966628Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.972874Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.972451Z"
     },
     "scrolled": true
    },
@@ -1316,10 +1316,10 @@
    "id": "abd0fb0b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.214832Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.214512Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.217164Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.216725Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.974787Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.974479Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.977066Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.976629Z"
     }
    },
    "outputs": [],
@@ -1341,10 +1341,10 @@
    "id": "cdf061df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.219050Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.218733Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.222281Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.221820Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.978834Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.978668Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.982198Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.981653Z"
     },
     "scrolled": true
    },
@@ -1396,10 +1396,10 @@
    "id": "08949890",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.224316Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.224013Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.226604Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.226158Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.984156Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.983985Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.986977Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.986575Z"
     }
    },
    "outputs": [],
@@ -1423,10 +1423,10 @@
    "id": "6948b073",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.228645Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.228343Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.232335Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.231904Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.988801Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.988634Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.992758Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.992305Z"
     }
    },
    "outputs": [
@@ -1481,10 +1481,10 @@
    "id": "6f8e6914",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.234323Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.234016Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.263094Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.262539Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.994760Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.994455Z",
+     "iopub.status.idle": "2024-02-07T23:56:06.022507Z",
+     "shell.execute_reply": "2024-02-07T23:56:06.022052Z"
     }
    },
    "outputs": [],
@@ -1527,10 +1527,10 @@
    "id": "b806d2ea",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.265344Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.264967Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.269602Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.269145Z"
+     "iopub.execute_input": "2024-02-07T23:56:06.024458Z",
+     "iopub.status.busy": "2024-02-07T23:56:06.024139Z",
+     "iopub.status.idle": "2024-02-07T23:56:06.028445Z",
+     "shell.execute_reply": "2024-02-07T23:56:06.028024Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb
index c6ef453c4..5e9a4d29e 100644
--- a/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/multilabel_classification.ipynb
@@ -19,7 +19,7 @@
     "Quickstart\n",
     "
\n",
     "    \n",
-    "cleanlab finds label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find label issues in your multi-label dataset:\n",
+    "cleanlab finds data/label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find issues in your multi-label dataset:\n",
     "\n",
     "
  \n",
     "    \n",
@@ -28,10 +28,10 @@
     "\n",
     "# Assuming your dataset has a label column named 'label'\n",
     "lab = Datalab(dataset, label_name='label', task='multilabel')\n",
+    "# To detect more issue types, optionally supply `features` (numeric dataset values or model embeddings of the data)\n",
+    "lab.find_issues(pred_probs=pred_probs, features=features)\n",
     "\n",
-    "lab.find_issues(pred_probs=pred_probs, issue_types={\"label\": {}})\n",
-    "\n",
-    "ranked_label_issues = lab.get_issues(\"label\").sort_values(\"label_score\")\n",
+    "lab.report()\n",
     "```\n",
     "\n",
     "    \n",
@@ -64,10 +64,10 @@
    "id": "7383d024-8273-4039-bccd-aab3020d331f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:38.074145Z",
-     "iopub.status.busy": "2024-02-07T22:15:38.073970Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.203313Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.202712Z"
+     "iopub.execute_input": "2024-02-07T23:56:08.687266Z",
+     "iopub.status.busy": "2024-02-07T23:56:08.687100Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.754564Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.754027Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:39.205859Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.205596Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.414109Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.413479Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.757160Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.756746Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.946615Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.946097Z"
     }
    },
    "outputs": [],
@@ -268,10 +268,10 @@
    "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:39.416970Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.416561Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.429574Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.429157Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.949158Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.948714Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.961413Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.960973Z"
     },
     "nbsphinx": "hidden"
    },
@@ -407,10 +407,10 @@
    "id": "dac65d3b-51e8-4682-b829-beab610b56d6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:39.431695Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.431290Z",
-     "iopub.status.idle": "2024-02-07T22:15:42.066450Z",
-     "shell.execute_reply": "2024-02-07T22:15:42.065835Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.963377Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.963052Z",
+     "iopub.status.idle": "2024-02-07T23:56:12.619380Z",
+     "shell.execute_reply": "2024-02-07T23:56:12.618822Z"
     }
    },
    "outputs": [
@@ -452,10 +452,10 @@
    "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:42.068923Z",
-     "iopub.status.busy": "2024-02-07T22:15:42.068564Z",
-     "iopub.status.idle": "2024-02-07T22:15:43.411615Z",
-     "shell.execute_reply": "2024-02-07T22:15:43.411041Z"
+     "iopub.execute_input": "2024-02-07T23:56:12.621613Z",
+     "iopub.status.busy": "2024-02-07T23:56:12.621277Z",
+     "iopub.status.idle": "2024-02-07T23:56:13.971194Z",
+     "shell.execute_reply": "2024-02-07T23:56:13.970652Z"
     }
    },
    "outputs": [],
@@ -497,10 +497,10 @@
    "id": "ac1a60df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:43.414000Z",
-     "iopub.status.busy": "2024-02-07T22:15:43.413818Z",
-     "iopub.status.idle": "2024-02-07T22:15:43.417446Z",
-     "shell.execute_reply": "2024-02-07T22:15:43.416934Z"
+     "iopub.execute_input": "2024-02-07T23:56:13.973499Z",
+     "iopub.status.busy": "2024-02-07T23:56:13.973162Z",
+     "iopub.status.idle": "2024-02-07T23:56:13.977165Z",
+     "shell.execute_reply": "2024-02-07T23:56:13.976701Z"
     }
    },
    "outputs": [
@@ -542,10 +542,10 @@
    "id": "d09115b6-ad44-474f-9c8a-85a459586439",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:43.419309Z",
-     "iopub.status.busy": "2024-02-07T22:15:43.419135Z",
-     "iopub.status.idle": "2024-02-07T22:15:45.207494Z",
-     "shell.execute_reply": "2024-02-07T22:15:45.206816Z"
+     "iopub.execute_input": "2024-02-07T23:56:13.979194Z",
+     "iopub.status.busy": "2024-02-07T23:56:13.978885Z",
+     "iopub.status.idle": "2024-02-07T23:56:15.657571Z",
+     "shell.execute_reply": "2024-02-07T23:56:15.657005Z"
     }
    },
    "outputs": [
@@ -592,10 +592,10 @@
    "id": "c18dd83b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:45.210051Z",
-     "iopub.status.busy": "2024-02-07T22:15:45.209488Z",
-     "iopub.status.idle": "2024-02-07T22:15:45.217636Z",
-     "shell.execute_reply": "2024-02-07T22:15:45.217158Z"
+     "iopub.execute_input": "2024-02-07T23:56:15.660326Z",
+     "iopub.status.busy": "2024-02-07T23:56:15.659641Z",
+     "iopub.status.idle": "2024-02-07T23:56:15.667026Z",
+     "shell.execute_reply": "2024-02-07T23:56:15.666496Z"
     }
    },
    "outputs": [
@@ -631,10 +631,10 @@
    "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:45.219651Z",
-     "iopub.status.busy": "2024-02-07T22:15:45.219310Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.808437Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.807942Z"
+     "iopub.execute_input": "2024-02-07T23:56:15.669181Z",
+     "iopub.status.busy": "2024-02-07T23:56:15.668872Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.270814Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.270242Z"
     }
    },
    "outputs": [
@@ -669,10 +669,10 @@
    "id": "c1198575",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.810738Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.810301Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.813993Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.813455Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.273199Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.272850Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.276268Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.275699Z"
     }
    },
    "outputs": [
@@ -691,6 +691,16 @@
     "print(f\"Label quality scores of the first 10 examples in dataset:\\n{scores[:10]}\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d6",
+   "metadata": {},
+   "source": [
+    "While this tutorial focused on label issues, cleanlab's `Datalab` object can automatically detect many other types of issues in your dataset (outliers, near duplicates, etc).\n",
+    "Simply remove the `issue_types` argument from the above call to `Datalab.find_issues()` above and `Datalab` will more comprehensively audit your dataset.\n",
+    "Refer to our [Datalab quickstart tutorial](./datalab/datalab_quickstart.html) to learn how to interpret the results (the interpretation remains mostly the same across different types of ML tasks)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d5",
@@ -707,10 +717,10 @@
    "id": "49161b19-7625-4fb7-add9-607d91a7eca1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.815974Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.815684Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.819808Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.819250Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.278300Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.277998Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.282388Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.281980Z"
     }
    },
    "outputs": [],
@@ -733,10 +743,10 @@
    "id": "d1a2c008",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.821661Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.821392Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.824553Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.824004Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.284367Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.284047Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.286987Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.286563Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb b/master/.doctrees/nbsphinx/tutorials/object_detection.ipynb
index bd98ee443..74d92a714 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": "2024-02-07T22:15:50.447928Z",
-     "iopub.status.busy": "2024-02-07T22:15:50.447758Z",
-     "iopub.status.idle": "2024-02-07T22:15:51.564104Z",
-     "shell.execute_reply": "2024-02-07T22:15:51.563498Z"
+     "iopub.execute_input": "2024-02-07T23:56:20.562684Z",
+     "iopub.status.busy": "2024-02-07T23:56:20.562520Z",
+     "iopub.status.idle": "2024-02-07T23:56:21.638239Z",
+     "shell.execute_reply": "2024-02-07T23:56:21.637675Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:51.566518Z",
-     "iopub.status.busy": "2024-02-07T22:15:51.566240Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.801961Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.801317Z"
+     "iopub.execute_input": "2024-02-07T23:56:21.640925Z",
+     "iopub.status.busy": "2024-02-07T23:56:21.640505Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.688443Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.687829Z"
     }
    },
    "outputs": [],
@@ -130,10 +130,10 @@
    "id": "df8be4c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.804419Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.804219Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.807410Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.806937Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.690921Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.690540Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.693716Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.693271Z"
     }
    },
    "outputs": [],
@@ -165,10 +165,10 @@
    "id": "2e9ffd6f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.809336Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.809039Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.815182Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.814647Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.695625Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.695302Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.701268Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.700863Z"
     }
    },
    "outputs": [],
@@ -194,10 +194,10 @@
    "id": "56705562",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.817367Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.816989Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.308064Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.307480Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.703196Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.702938Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.186186Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.185652Z"
     },
     "scrolled": true
    },
@@ -238,10 +238,10 @@
    "id": "b08144d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.310939Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.310566Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.315939Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.315394Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.188813Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.188488Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.193539Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.193126Z"
     }
    },
    "outputs": [
@@ -493,10 +493,10 @@
    "id": "3d70bec6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.317995Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.317689Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.321394Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.320912Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.195528Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.195222Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.199084Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.198542Z"
     }
    },
    "outputs": [
@@ -553,10 +553,10 @@
    "id": "4caa635d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.323449Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.323111Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.015545Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.014869Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.201119Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.200823Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.836419Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.835758Z"
     }
    },
    "outputs": [
@@ -612,10 +612,10 @@
    "id": "a9b4c590",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.018097Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.017708Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.187878Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.187411Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.838728Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.838526Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.988464Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.988047Z"
     }
    },
    "outputs": [
@@ -656,10 +656,10 @@
    "id": "ffd9ebcc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.189935Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.189745Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.194222Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.193779Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.990471Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.990165Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.994186Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.993763Z"
     }
    },
    "outputs": [
@@ -696,10 +696,10 @@
    "id": "4dd46d67",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.196260Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.195894Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.649689Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.649109Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.996117Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.995822Z",
+     "iopub.status.idle": "2024-02-07T23:56:24.434799Z",
+     "shell.execute_reply": "2024-02-07T23:56:24.434220Z"
     }
    },
    "outputs": [
@@ -758,10 +758,10 @@
    "id": "ceec2394",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.652534Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.652158Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.984855Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.984298Z"
+     "iopub.execute_input": "2024-02-07T23:56:24.437281Z",
+     "iopub.status.busy": "2024-02-07T23:56:24.436886Z",
+     "iopub.status.idle": "2024-02-07T23:56:24.768783Z",
+     "shell.execute_reply": "2024-02-07T23:56:24.768200Z"
     }
    },
    "outputs": [
@@ -808,10 +808,10 @@
    "id": "94f82b0d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.987521Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.987189Z",
-     "iopub.status.idle": "2024-02-07T22:15:55.470495Z",
-     "shell.execute_reply": "2024-02-07T22:15:55.469879Z"
+     "iopub.execute_input": "2024-02-07T23:56:24.771064Z",
+     "iopub.status.busy": "2024-02-07T23:56:24.770889Z",
+     "iopub.status.idle": "2024-02-07T23:56:25.250367Z",
+     "shell.execute_reply": "2024-02-07T23:56:25.249843Z"
     }
    },
    "outputs": [
@@ -858,10 +858,10 @@
    "id": "1ea18c5d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:55.475223Z",
-     "iopub.status.busy": "2024-02-07T22:15:55.474845Z",
-     "iopub.status.idle": "2024-02-07T22:15:55.916362Z",
-     "shell.execute_reply": "2024-02-07T22:15:55.915780Z"
+     "iopub.execute_input": "2024-02-07T23:56:25.254651Z",
+     "iopub.status.busy": "2024-02-07T23:56:25.254288Z",
+     "iopub.status.idle": "2024-02-07T23:56:25.662812Z",
+     "shell.execute_reply": "2024-02-07T23:56:25.662264Z"
     }
    },
    "outputs": [
@@ -921,10 +921,10 @@
    "id": "7e770d23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:55.920172Z",
-     "iopub.status.busy": "2024-02-07T22:15:55.919985Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.369242Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.368651Z"
+     "iopub.execute_input": "2024-02-07T23:56:25.666313Z",
+     "iopub.status.busy": "2024-02-07T23:56:25.665961Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.090422Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.089821Z"
     }
    },
    "outputs": [
@@ -967,10 +967,10 @@
    "id": "57e84a27",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.372426Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.372048Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.587116Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.586546Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.093719Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.093346Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.281170Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.280571Z"
     }
    },
    "outputs": [
@@ -1013,10 +1013,10 @@
    "id": "0302818a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.589448Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.589113Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.788433Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.787907Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.283283Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.283103Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.463218Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.462690Z"
     }
    },
    "outputs": [
@@ -1051,10 +1051,10 @@
    "id": "8ce74938",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.790786Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.790442Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.793953Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.793508Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.465892Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.465487Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.468734Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.468320Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/outliers.ipynb b/master/.doctrees/nbsphinx/tutorials/outliers.ipynb
index a17f8d98c..216232f6b 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": "2024-02-07T22:15:59.020657Z",
-     "iopub.status.busy": "2024-02-07T22:15:59.020490Z",
-     "iopub.status.idle": "2024-02-07T22:16:01.758945Z",
-     "shell.execute_reply": "2024-02-07T22:16:01.758382Z"
+     "iopub.execute_input": "2024-02-07T23:56:28.439526Z",
+     "iopub.status.busy": "2024-02-07T23:56:28.439052Z",
+     "iopub.status.idle": "2024-02-07T23:56:31.054002Z",
+     "shell.execute_reply": "2024-02-07T23:56:31.053462Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:16:01.761638Z",
-     "iopub.status.busy": "2024-02-07T22:16:01.761143Z",
-     "iopub.status.idle": "2024-02-07T22:16:02.096462Z",
-     "shell.execute_reply": "2024-02-07T22:16:02.095807Z"
+     "iopub.execute_input": "2024-02-07T23:56:31.056612Z",
+     "iopub.status.busy": "2024-02-07T23:56:31.056130Z",
+     "iopub.status.idle": "2024-02-07T23:56:31.365716Z",
+     "shell.execute_reply": "2024-02-07T23:56:31.365105Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
    "id": "3792f82e",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:02.099057Z",
-     "iopub.status.busy": "2024-02-07T22:16:02.098634Z",
-     "iopub.status.idle": "2024-02-07T22:16:02.102883Z",
-     "shell.execute_reply": "2024-02-07T22:16:02.102346Z"
+     "iopub.execute_input": "2024-02-07T23:56:31.368552Z",
+     "iopub.status.busy": "2024-02-07T23:56:31.368013Z",
+     "iopub.status.idle": "2024-02-07T23:56:31.372079Z",
+     "shell.execute_reply": "2024-02-07T23:56:31.371533Z"
     },
     "nbsphinx": "hidden"
    },
@@ -225,10 +225,10 @@
    "id": "fd853a54",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:02.105213Z",
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+     "shell.execute_reply": "2024-02-07T23:56:35.798918Z"
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@@ -252,7 +252,7 @@
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-      "\r",
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@@ -570,10 +498,10 @@
    "id": "9b64e0aa",
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-     "shell.execute_reply": "2024-02-07T22:16:07.275905Z"
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@@ -624,10 +552,10 @@
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@@ -660,10 +588,10 @@
    "id": "41e5cb6b",
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@@ -701,10 +629,10 @@
    "id": "1cf25354",
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@@ -727,17 +655,17 @@
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-     "shell.execute_reply": "2024-02-07T22:16:20.965959Z"
+     "iopub.execute_input": "2024-02-07T23:56:36.880489Z",
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+     "shell.execute_reply": "2024-02-07T23:56:49.380045Z"
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     {
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@@ -796,10 +724,10 @@
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@@ -843,10 +771,10 @@
    "id": "089d5860",
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@@ -882,10 +810,10 @@
    "id": "78b1951c",
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@@ -935,10 +863,10 @@
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@@ -986,10 +914,10 @@
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@@ -1045,10 +973,10 @@
    "id": "40fed4ef",
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-     "shell.execute_reply": "2024-02-07T22:16:24.306300Z"
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@@ -1069,10 +997,10 @@
    "id": "89f9db72",
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@@ -1109,10 +1037,10 @@
    "id": "874c885a",
    "metadata": {
     "execution": {
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-     "shell.execute_reply": "2024-02-07T22:16:36.458057Z"
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@@ -1143,10 +1071,10 @@
    "id": "e110fc4b",
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@@ -1160,10 +1088,10 @@
    "id": "85b60cbf",
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-     "shell.execute_reply": "2024-02-07T22:16:36.671082Z"
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     }
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@@ -1185,10 +1113,10 @@
    "id": "17f96fa6",
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diff --git a/master/.doctrees/nbsphinx/tutorials/regression.ipynb b/master/.doctrees/nbsphinx/tutorials/regression.ipynb
index 6460b1da7..f14378353 100644
--- a/master/.doctrees/nbsphinx/tutorials/regression.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/regression.ipynb
@@ -94,10 +94,10 @@
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-     "shell.execute_reply": "2024-02-07T22:16:42.112677Z"
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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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
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@@ -135,10 +135,10 @@
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@@ -157,10 +157,10 @@
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@@ -191,10 +191,10 @@
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@@ -367,10 +367,10 @@
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@@ -410,10 +410,10 @@
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@@ -449,10 +449,10 @@
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@@ -470,10 +470,10 @@
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@@ -520,10 +520,10 @@
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@@ -538,10 +538,10 @@
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@@ -565,10 +565,10 @@
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@@ -671,10 +671,10 @@
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-     "iopub.execute_input": "2024-02-07T22:16:50.830508Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.830326Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.834051Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.833572Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.609010Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.608834Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.612483Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.611944Z"
     }
    },
    "outputs": [],
@@ -689,10 +689,10 @@
    "id": "59fc3091",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.836017Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.835693Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.838791Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.838260Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.614300Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.614127Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.617088Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.616563Z"
     }
    },
    "outputs": [
@@ -727,10 +727,10 @@
    "id": "00949977",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.840784Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.840458Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.843463Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.843001Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.618875Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.618705Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.621573Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.621156Z"
     }
    },
    "outputs": [],
@@ -749,10 +749,10 @@
    "id": "b6c1ae3a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.845383Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.845063Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.852852Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.852402Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.623300Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.623130Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.631019Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.630588Z"
     }
    },
    "outputs": [
@@ -894,10 +894,10 @@
    "id": "31c704e7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.854861Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.854539Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.974215Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.973641Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.632839Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.632669Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.751110Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.750652Z"
     }
    },
    "outputs": [
@@ -936,10 +936,10 @@
    "id": "0bcc43db",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.976792Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.976387Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.083738Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.083123Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.753135Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.752961Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.854301Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.853737Z"
     }
    },
    "outputs": [
@@ -995,10 +995,10 @@
    "id": "7021bd68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.086417Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.085958Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.565882Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.565259Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.856714Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.856277Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.344066Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.343446Z"
     }
    },
    "outputs": [],
@@ -1014,10 +1014,10 @@
    "id": "d49c990b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.568859Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.568362Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.646362Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.645818Z"
+     "iopub.execute_input": "2024-02-07T23:57:19.346737Z",
+     "iopub.status.busy": "2024-02-07T23:57:19.346338Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.423350Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.422787Z"
     }
    },
    "outputs": [
@@ -1055,10 +1055,10 @@
    "id": "95531cda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.648680Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.648305Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.658253Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.657843Z"
+     "iopub.execute_input": "2024-02-07T23:57:19.425650Z",
+     "iopub.status.busy": "2024-02-07T23:57:19.425311Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.434732Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.434279Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb b/master/.doctrees/nbsphinx/tutorials/segmentation.ipynb
index 2278816b2..979c7e3be 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": "2024-02-07T22:16:54.759216Z",
-     "iopub.status.busy": "2024-02-07T22:16:54.759059Z",
-     "iopub.status.idle": "2024-02-07T22:16:56.709104Z",
-     "shell.execute_reply": "2024-02-07T22:16:56.708365Z"
+     "iopub.execute_input": "2024-02-07T23:57:22.267015Z",
+     "iopub.status.busy": "2024-02-07T23:57:22.266847Z",
+     "iopub.status.idle": "2024-02-07T23:57:23.557742Z",
+     "shell.execute_reply": "2024-02-07T23:57:23.557100Z"
     }
    },
    "outputs": [],
@@ -79,10 +79,10 @@
    "id": "58fd4c55",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:56.711689Z",
-     "iopub.status.busy": "2024-02-07T22:16:56.711492Z",
-     "iopub.status.idle": "2024-02-07T22:17:51.576173Z",
-     "shell.execute_reply": "2024-02-07T22:17:51.575514Z"
+     "iopub.execute_input": "2024-02-07T23:57:23.560412Z",
+     "iopub.status.busy": "2024-02-07T23:57:23.560029Z",
+     "iopub.status.idle": "2024-02-07T23:58:14.095094Z",
+     "shell.execute_reply": "2024-02-07T23:58:14.094451Z"
     }
    },
    "outputs": [],
@@ -97,10 +97,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:51.578880Z",
-     "iopub.status.busy": "2024-02-07T22:17:51.578435Z",
-     "iopub.status.idle": "2024-02-07T22:17:52.624888Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.624282Z"
+     "iopub.execute_input": "2024-02-07T23:58:14.097742Z",
+     "iopub.status.busy": "2024-02-07T23:58:14.097332Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.117655Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.117170Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:17:52.627442Z",
-     "iopub.status.busy": "2024-02-07T22:17:52.627135Z",
-     "iopub.status.idle": "2024-02-07T22:17:52.630302Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.629875Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.120117Z",
+     "iopub.status.busy": "2024-02-07T23:58:15.119697Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.122830Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.122391Z"
     }
    },
    "outputs": [],
@@ -203,10 +203,10 @@
    "id": "07dc5678",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:52.632362Z",
-     "iopub.status.busy": "2024-02-07T22:17:52.632061Z",
-     "iopub.status.idle": "2024-02-07T22:17:52.635961Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.635445Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.125002Z",
+     "iopub.status.busy": "2024-02-07T23:58:15.124688Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.128438Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.127995Z"
     }
    },
    "outputs": [
@@ -247,10 +247,10 @@
    "id": "25ebe22a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:52.637990Z",
-     "iopub.status.busy": "2024-02-07T22:17:52.637625Z",
-     "iopub.status.idle": "2024-02-07T22:17:52.641010Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.640595Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.130385Z",
+     "iopub.status.busy": "2024-02-07T23:58:15.130025Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.133555Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.133040Z"
     }
    },
    "outputs": [
@@ -290,10 +290,10 @@
    "id": "3faedea9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:52.642975Z",
-     "iopub.status.busy": "2024-02-07T22:17:52.642693Z",
-     "iopub.status.idle": "2024-02-07T22:17:52.645515Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.645069Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.135489Z",
+     "iopub.status.busy": "2024-02-07T23:58:15.135128Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.137853Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.137431Z"
     }
    },
    "outputs": [],
@@ -333,17 +333,17 @@
    "id": "2c2ad9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:52.647312Z",
-     "iopub.status.busy": "2024-02-07T22:17:52.647133Z",
-     "iopub.status.idle": "2024-02-07T22:19:07.736286Z",
-     "shell.execute_reply": "2024-02-07T22:19:07.735682Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.139805Z",
+     "iopub.status.busy": "2024-02-07T23:58:15.139476Z",
+     "iopub.status.idle": "2024-02-07T23:59:30.237567Z",
+     "shell.execute_reply": "2024-02-07T23:59:30.236895Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f8e42fb70e364942b5126777ae7364b8",
+       "model_id": "516f602a1da94152b495bff09963ecc2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -357,7 +357,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "be506591e8ac431dabddd430053816e2",
+       "model_id": "04cf97e28dc54e9e8ad9b5cad5a1f640",
        "version_major": 2,
        "version_minor": 0
       },
@@ -400,10 +400,10 @@
    "id": "95dc7268",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:19:07.738877Z",
-     "iopub.status.busy": "2024-02-07T22:19:07.738502Z",
-     "iopub.status.idle": "2024-02-07T22:19:08.410129Z",
-     "shell.execute_reply": "2024-02-07T22:19:08.409587Z"
+     "iopub.execute_input": "2024-02-07T23:59:30.240593Z",
+     "iopub.status.busy": "2024-02-07T23:59:30.240063Z",
+     "iopub.status.idle": "2024-02-07T23:59:30.904928Z",
+     "shell.execute_reply": "2024-02-07T23:59:30.904345Z"
     }
    },
    "outputs": [
@@ -446,10 +446,10 @@
    "id": "57fed473",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:19:08.412426Z",
-     "iopub.status.busy": "2024-02-07T22:19:08.411976Z",
-     "iopub.status.idle": "2024-02-07T22:19:11.136068Z",
-     "shell.execute_reply": "2024-02-07T22:19:11.135474Z"
+     "iopub.execute_input": "2024-02-07T23:59:30.907247Z",
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+     "shell.execute_reply": "2024-02-07T23:59:33.588459Z"
     }
    },
    "outputs": [
@@ -519,10 +519,10 @@
    "id": "e4a006bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:19:11.138343Z",
-     "iopub.status.busy": "2024-02-07T22:19:11.138010Z",
-     "iopub.status.idle": "2024-02-07T22:19:43.883956Z",
-     "shell.execute_reply": "2024-02-07T22:19:43.883330Z"
+     "iopub.execute_input": "2024-02-07T23:59:33.591098Z",
+     "iopub.status.busy": "2024-02-07T23:59:33.590759Z",
+     "iopub.status.idle": "2024-02-08T00:00:06.382957Z",
+     "shell.execute_reply": "2024-02-08T00:00:06.382396Z"
     }
    },
    "outputs": [
@@ -539,7 +539,7 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "  0%|          | 15347/4997817 [00:00<00:32, 153458.07it/s]"
+      "  0%|          | 15387/4997817 [00:00<00:32, 153859.88it/s]"
      ]
     },
     {
@@ -547,7 +547,7 @@
      "output_type": "stream",
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       "\r",
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+      "  1%|          | 30953/4997817 [00:00<00:32, 154916.01it/s]"
      ]
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     {
@@ -555,7 +555,7 @@
      "output_type": "stream",
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       "\r",
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+      "  1%|          | 46445/4997817 [00:00<00:31, 154862.43it/s]"
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@@ -563,7 +563,7 @@
      "output_type": "stream",
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+      "  1%|          | 61949/4997817 [00:00<00:31, 154930.24it/s]"
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@@ -571,7 +571,7 @@
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@@ -579,7 +579,7 @@
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+      "  2%|▏         | 92969/4997817 [00:00<00:31, 154441.07it/s]"
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@@ -587,7 +587,7 @@
      "output_type": "stream",
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@@ -595,7 +595,7 @@
      "output_type": "stream",
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+      "  2%|▏         | 123962/4997817 [00:00<00:31, 154726.37it/s]"
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@@ -603,7 +603,7 @@
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@@ -611,7 +611,7 @@
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@@ -619,7 +619,7 @@
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@@ -627,7 +627,7 @@
      "output_type": "stream",
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@@ -635,7 +635,7 @@
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+      "  4%|▍         | 201595/4997817 [00:01<00:30, 155359.04it/s]"
      ]
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     {
@@ -643,7 +643,7 @@
      "output_type": "stream",
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@@ -3379,10 +3379,10 @@
    "id": "716c74f3",
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@@ -3451,17 +3451,17 @@
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@@ -3491,10 +3491,10 @@
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diff --git a/master/.doctrees/nbsphinx/tutorials/tabular.ipynb b/master/.doctrees/nbsphinx/tutorials/tabular.ipynb
index 12339b227..76a108569 100644
--- a/master/.doctrees/nbsphinx/tutorials/tabular.ipynb
+++ b/master/.doctrees/nbsphinx/tutorials/tabular.ipynb
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-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
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-     "shell.execute_reply": "2024-02-07T22:20:16.267865Z"
+     "iopub.execute_input": "2024-02-08T00:00:37.854671Z",
+     "iopub.status.busy": "2024-02-08T00:00:37.854370Z",
+     "iopub.status.idle": "2024-02-08T00:00:38.366943Z",
+     "shell.execute_reply": "2024-02-08T00:00:38.366411Z"
     }
    },
    "outputs": [],
@@ -445,10 +445,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:16.270985Z",
-     "iopub.status.busy": "2024-02-07T22:20:16.270796Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.950965Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.950223Z"
+     "iopub.execute_input": "2024-02-08T00:00:38.369355Z",
+     "iopub.status.busy": "2024-02-08T00:00:38.369010Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.953418Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.952805Z"
     }
    },
    "outputs": [
@@ -480,10 +480,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.953912Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.953172Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.963171Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.962746Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.956230Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.955488Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.965485Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.965052Z"
     }
    },
    "outputs": [
@@ -604,10 +604,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.965362Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.965053Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.968689Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.968259Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.967556Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.967205Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.970941Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.970507Z"
     }
    },
    "outputs": [],
@@ -632,10 +632,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.970666Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.970397Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.977942Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.977363Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.972919Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.972669Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.979374Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.978962Z"
     }
    },
    "outputs": [],
@@ -657,10 +657,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.979985Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.979656Z",
-     "iopub.status.idle": "2024-02-07T22:20:18.091893Z",
-     "shell.execute_reply": "2024-02-07T22:20:18.091396Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.981265Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.980978Z",
+     "iopub.status.idle": "2024-02-08T00:00:40.092266Z",
+     "shell.execute_reply": "2024-02-08T00:00:40.091698Z"
     }
    },
    "outputs": [
@@ -690,10 +690,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:18.094062Z",
-     "iopub.status.busy": "2024-02-07T22:20:18.093720Z",
-     "iopub.status.idle": "2024-02-07T22:20:18.096596Z",
-     "shell.execute_reply": "2024-02-07T22:20:18.096144Z"
+     "iopub.execute_input": "2024-02-08T00:00:40.094466Z",
+     "iopub.status.busy": "2024-02-08T00:00:40.094078Z",
+     "iopub.status.idle": "2024-02-08T00:00:40.096691Z",
+     "shell.execute_reply": "2024-02-08T00:00:40.096261Z"
     }
    },
    "outputs": [],
@@ -714,10 +714,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:18.098529Z",
-     "iopub.status.busy": "2024-02-07T22:20:18.098202Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.077737Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.077090Z"
+     "iopub.execute_input": "2024-02-08T00:00:40.098593Z",
+     "iopub.status.busy": "2024-02-08T00:00:40.098420Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.020458Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.019691Z"
     }
    },
    "outputs": [],
@@ -737,10 +737,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:20.080833Z",
-     "iopub.status.busy": "2024-02-07T22:20:20.080047Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.091704Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.091118Z"
+     "iopub.execute_input": "2024-02-08T00:00:42.023533Z",
+     "iopub.status.busy": "2024-02-08T00:00:42.022782Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.033585Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.033121Z"
     }
    },
    "outputs": [
@@ -770,10 +770,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:20.093925Z",
-     "iopub.status.busy": "2024-02-07T22:20:20.093490Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.122307Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.121770Z"
+     "iopub.execute_input": "2024-02-08T00:00:42.035536Z",
+     "iopub.status.busy": "2024-02-08T00:00:42.035222Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.066169Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.065646Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/text.ipynb b/master/.doctrees/nbsphinx/tutorials/text.ipynb
index 14b0188fb..a33793a5f 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": "2024-02-07T22:20:23.034108Z",
-     "iopub.status.busy": "2024-02-07T22:20:23.033949Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.644096Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.643492Z"
+     "iopub.execute_input": "2024-02-08T00:00:44.559964Z",
+     "iopub.status.busy": "2024-02-08T00:00:44.559768Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.083313Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.082784Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:20:25.646761Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.646232Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.649662Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.649125Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.085963Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.085456Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.088646Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.088220Z"
     }
    },
    "outputs": [],
@@ -184,10 +184,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.651772Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.651399Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.654323Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.653903Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.090601Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.090279Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.093338Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.092797Z"
     },
     "nbsphinx": "hidden"
    },
@@ -218,10 +218,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.656427Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.656112Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.696715Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.696251Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.095320Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.095018Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.117162Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.116660Z"
     }
    },
    "outputs": [
@@ -311,10 +311,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.698892Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.698436Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.701940Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.701520Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.119103Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.118781Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.122228Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.121782Z"
     }
    },
    "outputs": [],
@@ -329,10 +329,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.703894Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.703566Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.706909Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.706467Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.124229Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.123895Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.127280Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.126831Z"
     }
    },
    "outputs": [
@@ -341,7 +341,7 @@
      "output_type": "stream",
      "text": [
       "This dataset has 10 classes.\n",
-      "Classes: {'change_pin', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'visa_or_mastercard', 'beneficiary_not_allowed', 'getting_spare_card'}\n"
+      "Classes: {'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'getting_spare_card', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_about_to_expire', 'cancel_transfer', 'card_payment_fee_charged', 'change_pin', 'visa_or_mastercard'}\n"
      ]
     }
    ],
@@ -364,10 +364,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.708983Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.708666Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.711641Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.711082Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.129237Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.128922Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.132004Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.131534Z"
     }
    },
    "outputs": [
@@ -408,10 +408,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.713626Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.713301Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.716436Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.716011Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.133964Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.133652Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.136698Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.136289Z"
     }
    },
    "outputs": [],
@@ -452,10 +452,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.718429Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.718116Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.429090Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.428554Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.138634Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.138333Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.729967Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.729315Z"
     }
    },
    "outputs": [
@@ -510,10 +510,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.431649Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.431416Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.434206Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.433681Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.732784Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.732432Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.735259Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.734700Z"
     }
    },
    "outputs": [],
@@ -535,10 +535,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.436191Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.435874Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.438880Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.438478Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.737214Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.736909Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.739581Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.739056Z"
     }
    },
    "outputs": [],
@@ -553,10 +553,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.440688Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.440515Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.731024Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.730409Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.741554Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.741265Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.955848Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.955096Z"
     },
     "scrolled": true
    },
@@ -579,10 +579,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.733921Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.733231Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.740520Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.740077Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.958573Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.958020Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.965371Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.964862Z"
     }
    },
    "outputs": [
@@ -683,10 +683,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.742564Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.742256Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.745803Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.745375Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.967398Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.967027Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.970968Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.970539Z"
     }
    },
    "outputs": [],
@@ -700,10 +700,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.747786Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.747469Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.750335Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.749834Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.972799Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.972623Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.975944Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.975459Z"
     }
    },
    "outputs": [
@@ -738,10 +738,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.752406Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.752088Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.754796Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.754356Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.978048Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.977628Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.980927Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.980389Z"
     }
    },
    "outputs": [],
@@ -761,10 +761,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.756820Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.756510Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.763078Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.762532Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.983081Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.982752Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.989594Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.989175Z"
     }
    },
    "outputs": [
@@ -889,10 +889,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.765349Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.764941Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.990470Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.989930Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.991604Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.991288Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.215514Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.214999Z"
     },
     "scrolled": true
    },
@@ -931,10 +931,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.993806Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.992872Z",
-     "iopub.status.idle": "2024-02-07T22:20:32.169989Z",
-     "shell.execute_reply": "2024-02-07T22:20:32.169440Z"
+     "iopub.execute_input": "2024-02-08T00:00:53.217866Z",
+     "iopub.status.busy": "2024-02-08T00:00:53.217475Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.396736Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.396217Z"
     },
     "scrolled": true
    },
@@ -967,10 +967,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:32.173948Z",
-     "iopub.status.busy": "2024-02-07T22:20:32.172981Z",
-     "iopub.status.idle": "2024-02-07T22:20:32.177939Z",
-     "shell.execute_reply": "2024-02-07T22:20:32.177455Z"
+     "iopub.execute_input": "2024-02-08T00:00:53.399160Z",
+     "iopub.status.busy": "2024-02-08T00:00:53.398767Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.402668Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.402187Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb b/master/.doctrees/nbsphinx/tutorials/token_classification.ipynb
index 408427f4d..552855170 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": "2024-02-07T22:20:35.313990Z",
-     "iopub.status.busy": "2024-02-07T22:20:35.313816Z",
-     "iopub.status.idle": "2024-02-07T22:20:36.922275Z",
-     "shell.execute_reply": "2024-02-07T22:20:36.921658Z"
+     "iopub.execute_input": "2024-02-08T00:00:56.196767Z",
+     "iopub.status.busy": "2024-02-08T00:00:56.196596Z",
+     "iopub.status.idle": "2024-02-08T00:00:57.333399Z",
+     "shell.execute_reply": "2024-02-08T00:00:57.332829Z"
     }
    },
    "outputs": [
@@ -86,7 +86,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-07 22:20:35--  https://data.deepai.org/conll2003.zip\r\n",
+      "--2024-02-08 00:00:56--  https://data.deepai.org/conll2003.zip\r\n",
       "Resolving data.deepai.org (data.deepai.org)... "
      ]
     },
@@ -94,8 +94,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "185.93.1.249, 2400:52e0:1a00::845:1\r\n",
-      "Connecting to data.deepai.org (data.deepai.org)|185.93.1.249|:443... connected.\r\n"
+      "169.150.236.100, 2400:52e0:1a00::1069:1\r\n",
+      "Connecting to data.deepai.org (data.deepai.org)|169.150.236.100|:443... connected.\r\n"
      ]
     },
     {
@@ -122,9 +122,9 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "conll2003.zip       100%[===================>] 959.94K  5.80MB/s    in 0.2s    \r\n",
+      "conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s    \r\n",
       "\r\n",
-      "2024-02-07 22:20:35 (5.80 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
+      "2024-02-08 00:00:56 (6.83 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
       "\r\n",
       "mkdir: cannot create directory ‘data’: File exists\r\n"
      ]
@@ -136,14 +136,7 @@
       "Archive:  conll2003.zip\r\n",
       "  inflating: data/metadata           \r\n",
       "  inflating: data/test.txt           \r\n",
-      "  inflating: data/train.txt          "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r\n",
+      "  inflating: data/train.txt          \r\n",
       "  inflating: data/valid.txt          \r\n"
      ]
     },
@@ -151,9 +144,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-07 22:20:36--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
-      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.29.33, 52.216.44.121, 3.5.9.100, ...\r\n",
-      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.29.33|:443... connected.\r\n",
+      "--2024-02-08 00:00:56--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
+      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.195.65, 52.216.34.89, 52.217.194.57, ...\r\n",
+      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.195.65|:443... connected.\r\n",
       "HTTP request sent, awaiting response... "
      ]
     },
@@ -174,18 +167,10 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "pred_probs.npz       32%[=====>              ]   5.32M  26.6MB/s               "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      "pred_probs.npz       96%[==================> ]  15.71M  39.0MB/s               \r",
-      "pred_probs.npz      100%[===================>]  16.26M  40.1MB/s    in 0.4s    \r\n",
+      "pred_probs.npz       96%[==================> ]  15.71M  73.8MB/s               \r",
+      "pred_probs.npz      100%[===================>]  16.26M  75.2MB/s    in 0.2s    \r\n",
       "\r\n",
-      "2024-02-07 22:20:36 (40.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
+      "2024-02-08 00:00:57 (75.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
       "\r\n"
      ]
     }
@@ -202,10 +187,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:36.924800Z",
-     "iopub.status.busy": "2024-02-07T22:20:36.924609Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.975651Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.975124Z"
+     "iopub.execute_input": "2024-02-08T00:00:57.335654Z",
+     "iopub.status.busy": "2024-02-08T00:00:57.335468Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.349948Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.349412Z"
     },
     "nbsphinx": "hidden"
    },
@@ -216,7 +201,7 @@
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -242,10 +227,10 @@
    "id": "a1349304",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.978094Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.977720Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.981475Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.981015Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.352415Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.352000Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.355349Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.354896Z"
     }
    },
    "outputs": [],
@@ -295,10 +280,10 @@
    "id": "ab9d59a0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.983434Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.983151Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.986159Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.985712Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.357557Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.357166Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.360004Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.359557Z"
     },
     "nbsphinx": "hidden"
    },
@@ -316,10 +301,10 @@
    "id": "519cb80c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.988170Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.987840Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.095100Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.094496Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.362059Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.361747Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.375886Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.375279Z"
     }
    },
    "outputs": [],
@@ -393,10 +378,10 @@
    "id": "202f1526",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.097690Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.097345Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.103018Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.102553Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.378420Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.378100Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.384174Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.383731Z"
     },
     "nbsphinx": "hidden"
    },
@@ -436,10 +421,10 @@
    "id": "a4381f03",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.104811Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.104636Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.452942Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.452409Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.386092Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.385770Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.712835Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.712280Z"
     }
    },
    "outputs": [],
@@ -476,10 +461,10 @@
    "id": "7842e4a3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.455228Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.455038Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.459456Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.458974Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.715171Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.714983Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.719127Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.718612Z"
     }
    },
    "outputs": [
@@ -551,10 +536,10 @@
    "id": "2c2ad9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.461295Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.461140Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.817383Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.816736Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.721205Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.720894Z",
+     "iopub.status.idle": "2024-02-08T00:01:09.991203Z",
+     "shell.execute_reply": "2024-02-08T00:01:09.990397Z"
     }
    },
    "outputs": [],
@@ -576,10 +561,10 @@
    "id": "95dc7268",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.820516Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.819779Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.823692Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.823151Z"
+     "iopub.execute_input": "2024-02-08T00:01:09.994297Z",
+     "iopub.status.busy": "2024-02-08T00:01:09.993597Z",
+     "iopub.status.idle": "2024-02-08T00:01:09.997604Z",
+     "shell.execute_reply": "2024-02-08T00:01:09.997062Z"
     }
    },
    "outputs": [
@@ -615,10 +600,10 @@
    "id": "e13de188",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.825615Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.825439Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.830967Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.830515Z"
+     "iopub.execute_input": "2024-02-08T00:01:09.999626Z",
+     "iopub.status.busy": "2024-02-08T00:01:09.999251Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.004932Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.004388Z"
     }
    },
    "outputs": [
@@ -796,10 +781,10 @@
    "id": "e4a006bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.833007Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.832708Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.858073Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.857632Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.007156Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.006650Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.031991Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.031546Z"
     }
    },
    "outputs": [
@@ -901,10 +886,10 @@
    "id": "c8f4e163",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.859992Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.859817Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.863878Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.863329Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.034012Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.033696Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.037460Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.036924Z"
     }
    },
    "outputs": [
@@ -978,10 +963,10 @@
    "id": "db0b5179",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.865694Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.865524Z",
-     "iopub.status.idle": "2024-02-07T22:20:51.295184Z",
-     "shell.execute_reply": "2024-02-07T22:20:51.294642Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.039392Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.039074Z",
+     "iopub.status.idle": "2024-02-08T00:01:11.408481Z",
+     "shell.execute_reply": "2024-02-08T00:01:11.407944Z"
     }
    },
    "outputs": [
@@ -1153,10 +1138,10 @@
    "id": "a18795eb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:51.297251Z",
-     "iopub.status.busy": "2024-02-07T22:20:51.297061Z",
-     "iopub.status.idle": "2024-02-07T22:20:51.301790Z",
-     "shell.execute_reply": "2024-02-07T22:20:51.301246Z"
+     "iopub.execute_input": "2024-02-08T00:01:11.410630Z",
+     "iopub.status.busy": "2024-02-08T00:01:11.410275Z",
+     "iopub.status.idle": "2024-02-08T00:01:11.414236Z",
+     "shell.execute_reply": "2024-02-08T00:01:11.413795Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/.doctrees/tutorials/audio.doctree b/master/.doctrees/tutorials/audio.doctree
index f7b5c0e67ae4608cbfe3ffb61983b9e11ffb0ecb..81c1adab74b6994d191ec2adcac7618019c252a1 100644
GIT binary patch
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delta 8806
zcmeHM&8uBk73X?)kZ3)@V$;KB=eA?Lnz*4n?X
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diff --git a/master/.doctrees/tutorials/datalab/index.doctree b/master/.doctrees/tutorials/datalab/index.doctree
index b8ba3c9d06a7c83adf2713fc8de7e7177e0f698f..cc83d8d1b5d2b93a4cfebea8184ab469ac941f61 100644
GIT binary patch
delta 62
zcmdlWu|Z-(BBNnJR%&*>c~P;xX|hF1l5tw1rD3vxrGZIWia}~}N}6GEqLC30n^+{J
Qrlgo!n5S)?#5j)&0E*cZFaQ7m

delta 62
zcmdlWu|Z-(BBP;2N|8}~Zfd^1g=w-;qM4zgp@pfXnYm$Na-z9`Xev
Qp%GApL1NP8NsRNj0845TE&u=k

diff --git a/master/.doctrees/tutorials/datalab/tabular.doctree b/master/.doctrees/tutorials/datalab/tabular.doctree
index 5fb0ebb0138add48a93a000c582c0283ced25a43..c0747b2b13181a29257590ac42be62c9c39a54b8 100644
GIT binary patch
delta 68
zcmX>zf&I(`_6_?u4GXeTv-8c1iuFyCEmD$<(-JKWlMO5lOwv*eQj=5C43iU$jDXn0
WA}KW`#ni$)t@%CY_V=8OvHJi`q!=Rr

delta 68
zcmX>zf&I(`_6_?u4J}fNjN)@s^YtxElZ_J13=It}OfAjK4HJ_S%?(V`5>reJQcW!_
X%uNlAfGP|UlbYXiZhz0o7`qPu1}zpL

diff --git a/master/.doctrees/tutorials/datalab/text.doctree b/master/.doctrees/tutorials/datalab/text.doctree
index 468becfb180b856528a0089d1ccdca403ffadf0e..25b6f75ac98d13ae0afacdc634739c152e7a75e6 100644
GIT binary patch
delta 13623
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delta 13354
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diff --git a/master/.doctrees/tutorials/dataset_health.doctree b/master/.doctrees/tutorials/dataset_health.doctree
index b80c9d15cc456dc291547647a65edbc30c029a4e..fb687834deebdeaa8c4adac53775f82bd1e5e034 100644
GIT binary patch
delta 3246
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diff --git a/master/.doctrees/tutorials/faq.doctree b/master/.doctrees/tutorials/faq.doctree
index c4f3517ffab2d9a9148f8698dbebd18119eafe88..d33a32bfff12e13946e05cc1e4ab128000f6f37b 100644
GIT binary patch
delta 6665
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diff --git a/master/.doctrees/tutorials/image.doctree b/master/.doctrees/tutorials/image.doctree
index e099ab08d8f093d499bce9e122ab7dc57473dffb..c7af032d0c7e87366c354a1b81198e17131420dc 100644
GIT binary patch
delta 44035
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diff --git a/master/.doctrees/tutorials/index.doctree b/master/.doctrees/tutorials/index.doctree
index 386c6440cbfe20809fc39bf430528137e5154190..e2192bf3bc48b875e0eea61b91802622e0cfa145 100644
GIT binary patch
delta 62
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delta 62
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diff --git a/master/.doctrees/tutorials/multiannotator.doctree b/master/.doctrees/tutorials/multiannotator.doctree
index 5acd1cdfaa49895d8ff2afdc284821cc9f740f4f..87e9eeebbc00f6f03bb157735f2d79ef628bb9d3 100644
GIT binary patch
delta 72
zcmZ3mkz>I|jtzS_4GXeTv-8c1iuFyCEmD$<(-JKWlMO5lOwv*eQj=5C43iU$jDXn0
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delta 72
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diff --git a/master/.doctrees/tutorials/multilabel_classification.doctree b/master/.doctrees/tutorials/multilabel_classification.doctree
index f7af43f9324174f909da3ea51d739fd5881ff266..acb5f218b32070303eff5881a8f93171271eddea 100644
GIT binary patch
delta 2471
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delta 673
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diff --git a/master/.doctrees/tutorials/outliers.doctree b/master/.doctrees/tutorials/outliers.doctree
index 138868692ce5fe5f292c4cd800b0463827735509..8b4925deb624a651033ede75b8bcd23fd1dfdeb7 100644
GIT binary patch
delta 16629
zcmeHOd3+Q__NU$?lY{_rhLB@2xes!5&($-490Do=B9U9&kjX(9P|hIu0~KABQ;tRo
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diff --git a/master/.doctrees/tutorials/pred_probs_cross_val.doctree b/master/.doctrees/tutorials/pred_probs_cross_val.doctree
index 42faebda688d600cad4daa967b107101c084f47b..a884bbc40224b3305da2cee1d0f7c7ccc3cd3262 100644
GIT binary patch
delta 64
zcmbQ&&N#1~af213VL?`EcD{L0vA$`tMM{!!TB4<4vVo<6Nm`0QYH~`NVRE985fGbL
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diff --git a/master/.doctrees/tutorials/segmentation.doctree b/master/.doctrees/tutorials/segmentation.doctree
index 5461b94d379674e1d17c9308bc337aaeca712e80..468214b539f881c387402788131e1bf1886cf905 100644
GIT binary patch
delta 98815
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diff --git a/master/.doctrees/tutorials/tabular.doctree b/master/.doctrees/tutorials/tabular.doctree
index 9f171f4259b28142f9b2118c5bdf89102635aab6..ffb7a6aecc8d14212ec04740b1f7fa5505f3f43a 100644
GIT binary patch
delta 64
zcmeCX%-naGdBZwR!-A~T?0oa0VtvzOipfF|{yH+kBsM{e1xK1s3=K

delta 64
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Tb5lbjpbCS;q|Ns^*WU*Kt(Fw_

diff --git a/master/.doctrees/tutorials/text.doctree b/master/.doctrees/tutorials/text.doctree
index 853fa8f9fa1a71c1d1d5d75edcc02feda9066ff8..dd4cea2a61bf50ad9c3ce7d588c2500591600360 100644
GIT binary patch
delta 471
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diff --git a/master/.doctrees/tutorials/token_classification.doctree b/master/.doctrees/tutorials/token_classification.doctree
index 339f73c03267213a250bcd651d5435c030991887..90d01e1ab60a647c63d2c176a7830697d8771abf 100644
GIT binary patch
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diff --git a/master/_sources/tutorials/audio.ipynb b/master/_sources/tutorials/audio.ipynb
index e1e7b3580..7df3c5f84 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 d84dc1be3..de35e30ef 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 6939de730..caf107126 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 ec836b743..c4931019a 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 b78fee999..4f154be30 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 5b779141e..5701497fd 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 a1bb4c374..c98db501c 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 2931c3f3b..a5da30c44 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 496ff82ba..374b56832 100644
--- a/master/_sources/tutorials/multilabel_classification.ipynb
+++ b/master/_sources/tutorials/multilabel_classification.ipynb
@@ -19,7 +19,7 @@
     "Quickstart\n",
     "
\n",
     "    \n",
-    "cleanlab finds label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find label issues in your multi-label dataset:\n",
+    "cleanlab finds data/label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find issues in your multi-label dataset:\n",
     "\n",
     "

 
  \n",
     "    \n",
@@ -28,10 +28,10 @@
     "\n",
     "# Assuming your dataset has a label column named 'label'\n",
     "lab = Datalab(dataset, label_name='label', task='multilabel')\n",
+    "# To detect more issue types, optionally supply `features` (numeric dataset values or model embeddings of the data)\n",
+    "lab.find_issues(pred_probs=pred_probs, features=features)\n",
     "\n",
-    "lab.find_issues(pred_probs=pred_probs, issue_types={\"label\": {}})\n",
-    "\n",
-    "ranked_label_issues = lab.get_issues(\"label\").sort_values(\"label_score\")\n",
+    "lab.report()\n",
     "```\n",
     "\n",
     "    \n",
@@ -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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -553,6 +553,16 @@
     "print(f\"Label quality scores of the first 10 examples in dataset:\\n{scores[:10]}\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d6",
+   "metadata": {},
+   "source": [
+    "While this tutorial focused on label issues, cleanlab's `Datalab` object can automatically detect many other types of issues in your dataset (outliers, near duplicates, etc).\n",
+    "Simply remove the `issue_types` argument from the above call to `Datalab.find_issues()` above and `Datalab` will more comprehensively audit your dataset.\n",
+    "Refer to our [Datalab quickstart tutorial](./datalab/datalab_quickstart.html) to learn how to interpret the results (the interpretation remains mostly the same across different types of ML tasks)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d5",
diff --git a/master/_sources/tutorials/object_detection.ipynb b/master/_sources/tutorials/object_detection.ipynb
index 18e5c833d..1fed0cdaa 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 206ce0d9c..cd3edb0ed 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 5e6ecaaa9..e2ffc2a97 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 928c700d4..0bf8faadf 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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 0e04ce609..382d08d62 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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
diff --git a/master/_sources/tutorials/text.ipynb b/master/_sources/tutorials/text.ipynb
index 11a5c643d..b8651e3af 100644
--- a/master/_sources/tutorials/text.ipynb
+++ b/master/_sources/tutorials/text.ipynb
@@ -128,7 +128,7 @@
     "os.environ[\"TOKENIZERS_PARALLELISM\"] = \"false\"  # disable parallelism to avoid deadlocks with huggingface\n",
     "\n",
     "if \"google.colab\" in str(get_ipython()):  # Check if it's running in Google Colab\n",
-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
diff --git a/master/_sources/tutorials/token_classification.ipynb b/master/_sources/tutorials/token_classification.ipynb
index 2cb39ad6b..2328cbcda 100644
--- a/master/_sources/tutorials/token_classification.ipynb
+++ b/master/_sources/tutorials/token_classification.ipynb
@@ -95,7 +95,7 @@
     "dependencies = [\"cleanlab\"]\n",
     "\n",
     "if \"google.colab\" in str(get_ipython()):  # Check if it's running in Google Colab\n",
-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
diff --git a/master/searchindex.js b/master/searchindex.js
index 5b7f7c3eb..07cbc934a 100644
--- a/master/searchindex.js
+++ b/master/searchindex.js
@@ -1 +1 @@
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"module-cleanlab.outlier"]], "regression": [[25, "regression"], [61, "regression"]], "Priority Order for finding issues:": [[26, null]], "underperforming_group": [[27, "underperforming-group"]], "report": [[28, "report"]], "dataset": [[30, "module-cleanlab.dataset"], [51, "module-cleanlab.multilabel_classification.dataset"]], "cifar_cnn": [[31, "module-cleanlab.experimental.cifar_cnn"]], "coteaching": [[32, "module-cleanlab.experimental.coteaching"]], "experimental": [[33, "experimental"]], "label_issues_batched": [[34, "module-cleanlab.experimental.label_issues_batched"]], "mnist_pytorch": [[35, "module-cleanlab.experimental.mnist_pytorch"]], "filter": [[36, "module-cleanlab.filter"], [52, "module-cleanlab.multilabel_classification.filter"], [55, "filter"], [64, "filter"], [68, "module-cleanlab.token_classification.filter"]], "label_quality_utils": [[38, "module-cleanlab.internal.label_quality_utils"]], "latent_algebra": [[39, "module-cleanlab.internal.latent_algebra"]], "multiannotator_utils": [[40, "module-cleanlab.internal.multiannotator_utils"]], "multilabel_scorer": [[41, "module-cleanlab.internal.multilabel_scorer"]], "multilabel_utils": [[42, "module-cleanlab.internal.multilabel_utils"]], "token_classification_utils": [[44, "module-cleanlab.internal.token_classification_utils"]], "util": [[45, "module-cleanlab.internal.util"]], "validation": [[46, "module-cleanlab.internal.validation"]], "fasttext": [[47, "fasttext"]], "models": [[48, "models"]], "keras": [[49, "module-cleanlab.models.keras"]], "multiannotator": [[50, "module-cleanlab.multiannotator"]], "multilabel_classification": [[53, "multilabel-classification"]], "rank": [[54, "module-cleanlab.multilabel_classification.rank"], [57, "module-cleanlab.object_detection.rank"], [60, "module-cleanlab.rank"], [66, "module-cleanlab.segmentation.rank"], [70, "module-cleanlab.token_classification.rank"]], "object_detection": [[56, "object-detection"]], "summary": [[58, "summary"], [67, "module-cleanlab.segmentation.summary"], [71, "module-cleanlab.token_classification.summary"]], "regression.learn": [[62, "module-cleanlab.regression.learn"]], "regression.rank": [[63, "module-cleanlab.regression.rank"]], "segmentation": [[65, "segmentation"]], "token_classification": [[69, "token-classification"]], "cleanlab open-source documentation": [[72, "cleanlab-open-source-documentation"]], "Quickstart": [[72, "quickstart"]], "1. Install cleanlab": [[72, "install-cleanlab"]], "2. Find common issues in your data": [[72, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[72, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[72, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[72, "improve-your-data-via-many-other-techniques"]], "Contributing": [[72, "contributing"]], "Easy Mode": [[72, "easy-mode"], [78, "Easy-Mode"], [79, "Easy-Mode"], [82, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[73, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[73, "function-and-class-name-changes"]], "Module name changes": [[73, "module-name-changes"]], "New modules": [[73, "new-modules"]], "Removed modules": [[73, "removed-modules"]], "Common argument and variable name changes": [[73, "common-argument-and-variable-name-changes"]], "Audio Classification with SpeechBrain and Cleanlab": [[74, "Audio-Classification-with-SpeechBrain-and-Cleanlab"]], "1. Install dependencies and import them": [[74, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[74, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[74, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[74, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[74, "5.-Use-cleanlab-to-find-label-issues"], [78, "5.-Use-cleanlab-to-find-label-issues"]], "Datalab: Advanced workflows to audit your data": [[75, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[75, "Install-and-import-required-dependencies"]], "Create and load the data": [[75, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[75, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[75, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[75, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[75, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[75, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[75, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[76, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "1. Install and import required dependencies": [[76, "1.-Install-and-import-required-dependencies"], [82, "1.-Install-and-import-required-dependencies"], [85, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[76, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[76, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[76, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. 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"]], "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.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, 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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() 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[[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 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"find_multilabel_issues_per_class() (in module cleanlab.multilabel_classification.filter)": [[52, "cleanlab.multilabel_classification.filter.find_multilabel_issues_per_class"]], "cleanlab.multilabel_classification": [[53, "module-cleanlab.multilabel_classification"]], "cleanlab.multilabel_classification.rank": [[54, "module-cleanlab.multilabel_classification.rank"]], "get_label_quality_scores() (in module cleanlab.multilabel_classification.rank)": [[54, "cleanlab.multilabel_classification.rank.get_label_quality_scores"]], "get_label_quality_scores_per_class() (in module cleanlab.multilabel_classification.rank)": [[54, "cleanlab.multilabel_classification.rank.get_label_quality_scores_per_class"]], "cleanlab.object_detection.filter": [[55, "module-cleanlab.object_detection.filter"]], "find_label_issues() (in module cleanlab.object_detection.filter)": [[55, "cleanlab.object_detection.filter.find_label_issues"]], "cleanlab.object_detection": [[56, "module-cleanlab.object_detection"]], 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module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.plot_class_distribution"]], "plot_class_size_distributions() (in module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.plot_class_size_distributions"]], "visualize() (in module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.visualize"]], "outofdistribution (class in cleanlab.outlier)": [[59, "cleanlab.outlier.OutOfDistribution"]], "cleanlab.outlier": [[59, "module-cleanlab.outlier"]], "fit() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.fit"]], "fit_score() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.fit_score"]], "score() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.score"]], "cleanlab.rank": [[60, "module-cleanlab.rank"]], "find_top_issues() (in module cleanlab.rank)": [[60, "cleanlab.rank.find_top_issues"]], "get_confidence_weighted_entropy_for_each_label() (in module cleanlab.rank)": [[60, "cleanlab.rank.get_confidence_weighted_entropy_for_each_label"]], "get_label_quality_ensemble_scores() (in module cleanlab.rank)": [[60, "cleanlab.rank.get_label_quality_ensemble_scores"]], "get_label_quality_scores() (in module cleanlab.rank)": [[60, "cleanlab.rank.get_label_quality_scores"]], "get_normalized_margin_for_each_label() (in module cleanlab.rank)": [[60, "cleanlab.rank.get_normalized_margin_for_each_label"]], "get_self_confidence_for_each_label() (in module cleanlab.rank)": [[60, "cleanlab.rank.get_self_confidence_for_each_label"]], "order_label_issues() (in module cleanlab.rank)": [[60, "cleanlab.rank.order_label_issues"]], "cleanlab.regression": [[61, "module-cleanlab.regression"]], "cleanlearning (class in cleanlab.regression.learn)": [[62, "cleanlab.regression.learn.CleanLearning"]], "__init_subclass__() (cleanlab.regression.learn.cleanlearning class method)": [[62, 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\ No newline at end of file
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[[30, "module-cleanlab.dataset"], [51, "module-cleanlab.multilabel_classification.dataset"]], "cifar_cnn": [[31, "module-cleanlab.experimental.cifar_cnn"]], "coteaching": [[32, "module-cleanlab.experimental.coteaching"]], "experimental": [[33, "experimental"]], "label_issues_batched": [[34, "module-cleanlab.experimental.label_issues_batched"]], "mnist_pytorch": [[35, "module-cleanlab.experimental.mnist_pytorch"]], "filter": [[36, "module-cleanlab.filter"], [52, "module-cleanlab.multilabel_classification.filter"], [55, "filter"], [64, "filter"], [68, "module-cleanlab.token_classification.filter"]], "label_quality_utils": [[38, "module-cleanlab.internal.label_quality_utils"]], "latent_algebra": [[39, "module-cleanlab.internal.latent_algebra"]], "multiannotator_utils": [[40, "module-cleanlab.internal.multiannotator_utils"]], "multilabel_scorer": [[41, "module-cleanlab.internal.multilabel_scorer"]], "multilabel_utils": [[42, "module-cleanlab.internal.multilabel_utils"]], "token_classification_utils": [[44, "module-cleanlab.internal.token_classification_utils"]], "util": [[45, "module-cleanlab.internal.util"]], "validation": [[46, "module-cleanlab.internal.validation"]], "fasttext": [[47, "fasttext"]], "models": [[48, "models"]], "keras": [[49, "module-cleanlab.models.keras"]], "multiannotator": [[50, "module-cleanlab.multiannotator"]], "multilabel_classification": [[53, "multilabel-classification"]], "rank": [[54, "module-cleanlab.multilabel_classification.rank"], [57, "module-cleanlab.object_detection.rank"], [60, "module-cleanlab.rank"], [66, "module-cleanlab.segmentation.rank"], [70, "module-cleanlab.token_classification.rank"]], "object_detection": [[56, "object-detection"]], "summary": [[58, "summary"], [67, "module-cleanlab.segmentation.summary"], [71, "module-cleanlab.token_classification.summary"]], "regression.learn": [[62, "module-cleanlab.regression.learn"]], "regression.rank": [[63, "module-cleanlab.regression.rank"]], "segmentation": [[65, "segmentation"]], "token_classification": [[69, "token-classification"]], "cleanlab open-source documentation": [[72, "cleanlab-open-source-documentation"]], "Quickstart": [[72, "quickstart"]], "1. Install cleanlab": [[72, "install-cleanlab"]], "2. Find common issues in your data": [[72, "find-common-issues-in-your-data"]], "3. Handle label errors and train robust models with noisy labels": [[72, "handle-label-errors-and-train-robust-models-with-noisy-labels"]], "4. Dataset curation: fix dataset-level issues": [[72, "dataset-curation-fix-dataset-level-issues"]], "5. Improve your data via many other techniques": [[72, "improve-your-data-via-many-other-techniques"]], "Contributing": [[72, "contributing"]], "Easy Mode": [[72, "easy-mode"], [78, "Easy-Mode"], [79, "Easy-Mode"], [82, "Easy-Mode"]], "How to migrate to versions >= 2.0.0 from pre 1.0.1": [[73, "how-to-migrate-to-versions-2-0-0-from-pre-1-0-1"]], "Function and class name changes": [[73, "function-and-class-name-changes"]], "Module name changes": [[73, "module-name-changes"]], "New modules": [[73, "new-modules"]], "Removed modules": [[73, "removed-modules"]], "Common argument and variable name changes": [[73, "common-argument-and-variable-name-changes"]], "Audio Classification with SpeechBrain and Cleanlab": [[74, "Audio-Classification-with-SpeechBrain-and-Cleanlab"]], "1. Install dependencies and import them": [[74, "1.-Install-dependencies-and-import-them"]], "2. Load the data": [[74, "2.-Load-the-data"]], "3. Use pre-trained SpeechBrain model to featurize audio": [[74, "3.-Use-pre-trained-SpeechBrain-model-to-featurize-audio"]], "4. Fit linear model and compute out-of-sample predicted probabilities": [[74, "4.-Fit-linear-model-and-compute-out-of-sample-predicted-probabilities"]], "5. Use cleanlab to find label issues": [[74, "5.-Use-cleanlab-to-find-label-issues"], [78, "5.-Use-cleanlab-to-find-label-issues"]], "Datalab: Advanced workflows to audit your data": [[75, "Datalab:-Advanced-workflows-to-audit-your-data"]], "Install and import required dependencies": [[75, "Install-and-import-required-dependencies"]], "Create and load the data": [[75, "Create-and-load-the-data"]], "Get out-of-sample predicted probabilities from a classifier": [[75, "Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "Instantiate Datalab object": [[75, "Instantiate-Datalab-object"]], "Functionality 1: Incremental issue search": [[75, "Functionality-1:-Incremental-issue-search"]], "Functionality 2: Specifying nondefault arguments": [[75, "Functionality-2:-Specifying-nondefault-arguments"]], "Functionality 3: Save and load Datalab objects": [[75, "Functionality-3:-Save-and-load-Datalab-objects"]], "Functionality 4: Adding a custom IssueManager": [[75, "Functionality-4:-Adding-a-custom-IssueManager"]], "Datalab: A unified audit to detect all kinds of issues in data and labels": [[76, "Datalab:-A-unified-audit-to-detect-all-kinds-of-issues-in-data-and-labels"]], "1. Install and import required dependencies": [[76, "1.-Install-and-import-required-dependencies"], [82, "1.-Install-and-import-required-dependencies"], [85, "1.-Install-and-import-required-dependencies"]], "2. Create and load the data (can skip these details)": [[76, "2.-Create-and-load-the-data-(can-skip-these-details)"]], "3. Get out-of-sample predicted probabilities from a classifier": [[76, "3.-Get-out-of-sample-predicted-probabilities-from-a-classifier"]], "4. Use Datalab to find issues in the dataset": [[76, "4.-Use-Datalab-to-find-issues-in-the-dataset"]], "5. 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"]], "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.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, 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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() 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[[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 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module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.plot_class_distribution"]], "plot_class_size_distributions() (in module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.plot_class_size_distributions"]], "visualize() (in module cleanlab.object_detection.summary)": [[58, "cleanlab.object_detection.summary.visualize"]], "outofdistribution (class in cleanlab.outlier)": [[59, "cleanlab.outlier.OutOfDistribution"]], "cleanlab.outlier": [[59, "module-cleanlab.outlier"]], "fit() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.fit"]], "fit_score() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.fit_score"]], "score() (cleanlab.outlier.outofdistribution method)": [[59, "cleanlab.outlier.OutOfDistribution.score"]], "cleanlab.rank": [[60, "module-cleanlab.rank"]], "find_top_issues() (in module cleanlab.rank)": [[60, "cleanlab.rank.find_top_issues"]], 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cleanlab.token_classification.summary)": [[71, "cleanlab.token_classification.summary.common_label_issues"]], "display_issues() (in module cleanlab.token_classification.summary)": [[71, "cleanlab.token_classification.summary.display_issues"]], "filter_by_token() (in module cleanlab.token_classification.summary)": [[71, "cleanlab.token_classification.summary.filter_by_token"]]}})
\ No newline at end of file
diff --git a/master/tutorials/audio.html b/master/tutorials/audio.html
index bf1bb0225..41c5d0795 100644
--- a/master/tutorials/audio.html
+++ b/master/tutorials/audio.html
@@ -1274,7 +1274,7 @@ 
5. Use cleanlab to find label issues
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diff --git a/master/tutorials/audio.ipynb b/master/tutorials/audio.ipynb
index 6f50fce62..292e02cfe 100644
--- a/master/tutorials/audio.ipynb
+++ b/master/tutorials/audio.ipynb
@@ -78,10 +78,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:18.361812Z",
-     "iopub.status.busy": "2024-02-07T22:09:18.361636Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.711531Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.710898Z"
+     "iopub.execute_input": "2024-02-07T23:50:00.107221Z",
+     "iopub.status.busy": "2024-02-07T23:50:00.107063Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.972205Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.971588Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:09:23.714287Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.713904Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.717701Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.717275Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.974847Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.974485Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.977602Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.977185Z"
     },
     "id": "LaEiwXUiVHCS"
    },
@@ -157,10 +157,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:23.719659Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.719476Z",
-     "iopub.status.idle": "2024-02-07T22:09:23.723985Z",
-     "shell.execute_reply": "2024-02-07T22:09:23.723572Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.979500Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.979321Z",
+     "iopub.status.idle": "2024-02-07T23:50:04.983925Z",
+     "shell.execute_reply": "2024-02-07T23:50:04.983480Z"
     },
     "nbsphinx": "hidden"
    },
@@ -208,10 +208,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:23.725972Z",
-     "iopub.status.busy": "2024-02-07T22:09:23.725707Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.249850Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.249225Z"
+     "iopub.execute_input": "2024-02-07T23:50:04.986003Z",
+     "iopub.status.busy": "2024-02-07T23:50:04.985618Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.549578Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.548944Z"
     },
     "id": "GRDPEg7-VOQe",
     "outputId": "cb886220-e86e-4a77-9f3a-d7844c37c3a6"
@@ -242,10 +242,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.252557Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.252169Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.263474Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.262738Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.552344Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.551958Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.562444Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.561881Z"
     },
     "id": "FDA5sGZwUSur",
     "outputId": "0cedc509-63fd-4dc3-d32f-4b537dfe3895"
@@ -329,10 +329,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.296003Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.295584Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.301465Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.300981Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.593982Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.593548Z",
+     "iopub.status.idle": "2024-02-07T23:50:06.599022Z",
+     "shell.execute_reply": "2024-02-07T23:50:06.598581Z"
     },
     "nbsphinx": "hidden"
    },
@@ -380,10 +380,10 @@
      "height": 92
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.303281Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.303109Z",
-     "iopub.status.idle": "2024-02-07T22:09:25.749448Z",
-     "shell.execute_reply": "2024-02-07T22:09:25.748880Z"
+     "iopub.execute_input": "2024-02-07T23:50:06.600905Z",
+     "iopub.status.busy": "2024-02-07T23:50:06.600729Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.080952Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.080367Z"
     },
     "id": "dLBvUZLlII5w",
     "outputId": "c6a4917f-4a82-4a89-9193-415072e45550"
@@ -435,10 +435,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:25.751700Z",
-     "iopub.status.busy": "2024-02-07T22:09:25.751373Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.514501Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.513900Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.083112Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.082774Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.698361Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.697874Z"
     },
     "id": "vL9lkiKsHvKr"
    },
@@ -474,10 +474,10 @@
      "height": 143
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.516952Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.516772Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.536940Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.536500Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.700875Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.700453Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.720767Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.720213Z"
     },
     "id": "obQYDKdLiUU6",
     "outputId": "4e923d5c-2cf4-4a5c-827b-0a4fea9d87e4"
@@ -557,10 +557,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.538937Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.538682Z",
-     "iopub.status.idle": "2024-02-07T22:09:26.541623Z",
-     "shell.execute_reply": "2024-02-07T22:09:26.541204Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.722821Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.722441Z",
+     "iopub.status.idle": "2024-02-07T23:50:07.725646Z",
+     "shell.execute_reply": "2024-02-07T23:50:07.725101Z"
     },
     "id": "I8JqhOZgi94g"
    },
@@ -582,10 +582,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:26.543564Z",
-     "iopub.status.busy": "2024-02-07T22:09:26.543237Z",
-     "iopub.status.idle": "2024-02-07T22:09:41.167409Z",
-     "shell.execute_reply": "2024-02-07T22:09:41.166804Z"
+     "iopub.execute_input": "2024-02-07T23:50:07.727549Z",
+     "iopub.status.busy": "2024-02-07T23:50:07.727193Z",
+     "iopub.status.idle": "2024-02-07T23:50:21.686992Z",
+     "shell.execute_reply": "2024-02-07T23:50:21.686381Z"
     },
     "id": "2FSQ2GR9R_YA"
    },
@@ -627,10 +627,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:41.170099Z",
-     "iopub.status.busy": "2024-02-07T22:09:41.169730Z",
-     "iopub.status.idle": "2024-02-07T22:09:41.173537Z",
-     "shell.execute_reply": "2024-02-07T22:09:41.173080Z"
+     "iopub.execute_input": "2024-02-07T23:50:21.689932Z",
+     "iopub.status.busy": "2024-02-07T23:50:21.689619Z",
+     "iopub.status.idle": "2024-02-07T23:50:21.693998Z",
+     "shell.execute_reply": "2024-02-07T23:50:21.693471Z"
     },
     "id": "kAkY31IVXyr8",
     "outputId": "fd70d8d6-2f11-48d5-ae9c-a8c97d453632"
@@ -689,10 +689,10 @@
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    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:41.175544Z",
-     "iopub.status.busy": "2024-02-07T22:09:41.175252Z",
-     "iopub.status.idle": "2024-02-07T22:09:41.882562Z",
-     "shell.execute_reply": "2024-02-07T22:09:41.881983Z"
+     "iopub.execute_input": "2024-02-07T23:50:21.696250Z",
+     "iopub.status.busy": "2024-02-07T23:50:21.695894Z",
+     "iopub.status.idle": "2024-02-07T23:50:22.394154Z",
+     "shell.execute_reply": "2024-02-07T23:50:22.393570Z"
     },
     "id": "i_drkY9YOcw4"
    },
@@ -726,10 +726,10 @@
      "base_uri": "https://localhost:8080/"
     },
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:41.886194Z",
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-     "shell.execute_reply": "2024-02-07T22:09:41.891394Z"
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@@ -1076,7 +1076,7 @@ 
Functionality 2: Specifying nondefault arguments
 
-/home/runner/work/cleanlab/cleanlab/cleanlab/datalab/internal/data_issues.py:329: UserWarning: Overwriting columns ['is_outlier_issue', 'outlier_score'] in self.issues with columns from issue manager OutlierIssueManager.
+/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.
   warnings.warn(
 /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.
   warnings.warn(
@@ -1207,7 +1207,7 @@ 
Functionality 3: Save and load Datalab objects
 

 

-

+

 

 

@@ -1472,7 +1472,7 @@ 
Functionality 4: Adding a custom IssueManager
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diff --git a/master/tutorials/datalab/datalab_advanced.ipynb b/master/tutorials/datalab/datalab_advanced.ipynb
index eb98a395e..2aa010cbc 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": "2024-02-07T22:09:45.766597Z",
-     "iopub.status.busy": "2024-02-07T22:09:45.766116Z",
-     "iopub.status.idle": "2024-02-07T22:09:46.894614Z",
-     "shell.execute_reply": "2024-02-07T22:09:46.893994Z"
+     "iopub.execute_input": "2024-02-07T23:50:26.079478Z",
+     "iopub.status.busy": "2024-02-07T23:50:26.079305Z",
+     "iopub.status.idle": "2024-02-07T23:50:27.150586Z",
+     "shell.execute_reply": "2024-02-07T23:50:27.149991Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:09:46.897320Z",
-     "iopub.status.busy": "2024-02-07T22:09:46.897025Z",
-     "iopub.status.idle": "2024-02-07T22:09:46.900128Z",
-     "shell.execute_reply": "2024-02-07T22:09:46.899610Z"
+     "iopub.execute_input": "2024-02-07T23:50:27.153138Z",
+     "iopub.status.busy": "2024-02-07T23:50:27.152874Z",
+     "iopub.status.idle": "2024-02-07T23:50:27.156022Z",
+     "shell.execute_reply": "2024-02-07T23:50:27.155466Z"
     }
    },
    "outputs": [],
@@ -252,10 +252,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:46.902250Z",
-     "iopub.status.busy": "2024-02-07T22:09:46.902067Z",
-     "iopub.status.idle": "2024-02-07T22:09:46.910749Z",
-     "shell.execute_reply": "2024-02-07T22:09:46.910239Z"
+     "iopub.execute_input": "2024-02-07T23:50:27.158108Z",
+     "iopub.status.busy": "2024-02-07T23:50:27.157782Z",
+     "iopub.status.idle": "2024-02-07T23:50:27.166233Z",
+     "shell.execute_reply": "2024-02-07T23:50:27.165798Z"
     },
     "nbsphinx": "hidden"
    },
@@ -353,10 +353,10 @@
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diff --git a/master/tutorials/datalab/datalab_quickstart.ipynb b/master/tutorials/datalab/datalab_quickstart.ipynb
index 27e694d83..38a0df9fa 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": "2024-02-07T22:09:51.944305Z",
-     "iopub.status.busy": "2024-02-07T22:09:51.943895Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.035775Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.035210Z"
+     "iopub.execute_input": "2024-02-07T23:50:32.050037Z",
+     "iopub.status.busy": "2024-02-07T23:50:32.049655Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.121241Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.120710Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:09:53.038346Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.037927Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.040885Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.040446Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.123591Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.123252Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.126067Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.125643Z"
     }
    },
    "outputs": [],
@@ -250,10 +250,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.043051Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.042662Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.051658Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.051179Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.128077Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.127739Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.136454Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.136019Z"
     },
     "nbsphinx": "hidden"
    },
@@ -356,10 +356,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.053597Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.053299Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.058208Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.057763Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.138407Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.138099Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.142931Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.142378Z"
     }
    },
    "outputs": [],
@@ -448,10 +448,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.060288Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.059980Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.243898Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.243265Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.145229Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.144779Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.324549Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.324005Z"
     },
     "nbsphinx": "hidden"
    },
@@ -520,10 +520,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.246458Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.246117Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.569144Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.568560Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.326802Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.326501Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.691854Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.691275Z"
     }
    },
    "outputs": [
@@ -559,10 +559,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.571195Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.571004Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.573886Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.573439Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.693985Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.693672Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.696518Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.695930Z"
     }
    },
    "outputs": [],
@@ -601,10 +601,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.575899Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.575585Z",
-     "iopub.status.idle": "2024-02-07T22:09:53.610611Z",
-     "shell.execute_reply": "2024-02-07T22:09:53.610139Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.698376Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.698197Z",
+     "iopub.status.idle": "2024-02-07T23:50:33.734067Z",
+     "shell.execute_reply": "2024-02-07T23:50:33.733496Z"
     }
    },
    "outputs": [
@@ -646,10 +646,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:53.612587Z",
-     "iopub.status.busy": "2024-02-07T22:09:53.612283Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.294395Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.293723Z"
+     "iopub.execute_input": "2024-02-07T23:50:33.736250Z",
+     "iopub.status.busy": "2024-02-07T23:50:33.735898Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.324293Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.323707Z"
     }
    },
    "outputs": [
@@ -701,10 +701,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.297112Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.296398Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.312678Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.312224Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.326786Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.326145Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.342690Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.342116Z"
     }
    },
    "outputs": [
@@ -834,10 +834,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.314716Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.314404Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.320693Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.320168Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.344850Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.344539Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.351268Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.350723Z"
     }
    },
    "outputs": [
@@ -941,10 +941,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.322682Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.322374Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.327895Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.327376Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.353405Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.353065Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.358733Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.358315Z"
     }
    },
    "outputs": [
@@ -1011,10 +1011,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.329882Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.329574Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.338962Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.338443Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.360561Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.360391Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.370073Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.369622Z"
     }
    },
    "outputs": [
@@ -1187,10 +1187,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.341062Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.340748Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.349834Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.349389Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.372076Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.371747Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.380435Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.380030Z"
     }
    },
    "outputs": [
@@ -1306,10 +1306,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.351812Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.351492Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.358215Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.357777Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.382354Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.382064Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.388711Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.388189Z"
     },
     "scrolled": true
    },
@@ -1434,10 +1434,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:55.360252Z",
-     "iopub.status.busy": "2024-02-07T22:09:55.359862Z",
-     "iopub.status.idle": "2024-02-07T22:09:55.368697Z",
-     "shell.execute_reply": "2024-02-07T22:09:55.368160Z"
+     "iopub.execute_input": "2024-02-07T23:50:35.390572Z",
+     "iopub.status.busy": "2024-02-07T23:50:35.390398Z",
+     "iopub.status.idle": "2024-02-07T23:50:35.399536Z",
+     "shell.execute_reply": "2024-02-07T23:50:35.399098Z"
     }
    },
    "outputs": [
diff --git a/master/tutorials/datalab/tabular.ipynb b/master/tutorials/datalab/tabular.ipynb
index 69da62e85..89256cb69 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": "2024-02-07T22:09:58.185193Z",
-     "iopub.status.busy": "2024-02-07T22:09:58.185035Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.240954Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.240396Z"
+     "iopub.execute_input": "2024-02-07T23:50:37.883084Z",
+     "iopub.status.busy": "2024-02-07T23:50:37.882910Z",
+     "iopub.status.idle": "2024-02-07T23:50:38.892679Z",
+     "shell.execute_reply": "2024-02-07T23:50:38.892131Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:09:59.243686Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.243159Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.278797Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.278254Z"
+     "iopub.execute_input": "2024-02-07T23:50:38.894943Z",
+     "iopub.status.busy": "2024-02-07T23:50:38.894684Z",
+     "iopub.status.idle": "2024-02-07T23:50:38.929710Z",
+     "shell.execute_reply": "2024-02-07T23:50:38.929146Z"
     }
    },
    "outputs": [],
@@ -155,10 +155,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.281190Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.280903Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.401377Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.400748Z"
+     "iopub.execute_input": "2024-02-07T23:50:38.931765Z",
+     "iopub.status.busy": "2024-02-07T23:50:38.931526Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.058331Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.057887Z"
     }
    },
    "outputs": [
@@ -265,10 +265,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.403384Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.403180Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.407799Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.407346Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.060129Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.059952Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.064178Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.063670Z"
     }
    },
    "outputs": [],
@@ -289,10 +289,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.409634Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.409460Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.417606Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.417193Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.066362Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.065950Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.076608Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.076042Z"
     }
    },
    "outputs": [],
@@ -337,10 +337,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.419486Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.419287Z",
-     "iopub.status.idle": "2024-02-07T22:09:59.421813Z",
-     "shell.execute_reply": "2024-02-07T22:09:59.421375Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.078928Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.078751Z",
+     "iopub.status.idle": "2024-02-07T23:50:39.083266Z",
+     "shell.execute_reply": "2024-02-07T23:50:39.082562Z"
     }
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    "outputs": [],
@@ -362,10 +362,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:09:59.423749Z",
-     "iopub.status.busy": "2024-02-07T22:09:59.423432Z",
-     "iopub.status.idle": "2024-02-07T22:10:02.368926Z",
-     "shell.execute_reply": "2024-02-07T22:10:02.368252Z"
+     "iopub.execute_input": "2024-02-07T23:50:39.086189Z",
+     "iopub.status.busy": "2024-02-07T23:50:39.085768Z",
+     "iopub.status.idle": "2024-02-07T23:50:42.065051Z",
+     "shell.execute_reply": "2024-02-07T23:50:42.064424Z"
     }
    },
    "outputs": [],
@@ -401,10 +401,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:02.371956Z",
-     "iopub.status.busy": "2024-02-07T22:10:02.371532Z",
-     "iopub.status.idle": "2024-02-07T22:10:02.381528Z",
-     "shell.execute_reply": "2024-02-07T22:10:02.380946Z"
+     "iopub.execute_input": "2024-02-07T23:50:42.067604Z",
+     "iopub.status.busy": "2024-02-07T23:50:42.067419Z",
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+     "shell.execute_reply": "2024-02-07T23:50:42.076618Z"
     }
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    "outputs": [],
@@ -436,10 +436,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:02.383882Z",
-     "iopub.status.busy": "2024-02-07T22:10:02.383431Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.216983Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.216362Z"
+     "iopub.execute_input": "2024-02-07T23:50:42.078892Z",
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+     "iopub.status.idle": "2024-02-07T23:50:43.738703Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.738023Z"
     }
    },
    "outputs": [
@@ -475,10 +475,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.220917Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.219625Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.241581Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.241080Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.741956Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.741196Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.761486Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.760971Z"
     },
     "scrolled": true
    },
@@ -604,10 +604,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.245130Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.244225Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.255345Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.254854Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.764641Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.763724Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.774658Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.774184Z"
     }
    },
    "outputs": [
@@ -711,10 +711,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.258823Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.257919Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.270597Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.270094Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.778049Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.777135Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.789631Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.789124Z"
     }
    },
    "outputs": [
@@ -843,10 +843,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.274181Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.273266Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.284928Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.284408Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.793061Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.792169Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.803071Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.802586Z"
     }
    },
    "outputs": [
@@ -960,10 +960,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.288692Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.287752Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.301331Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.300828Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.806458Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.805573Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.817839Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.817365Z"
     }
    },
    "outputs": [
@@ -1074,10 +1074,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.304987Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.304078Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.312203Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.311804Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.821198Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.820286Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.829526Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.828987Z"
     }
    },
    "outputs": [
@@ -1161,10 +1161,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.315003Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.314273Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.321246Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.320693Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.831641Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.831471Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.837592Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.837146Z"
     }
    },
    "outputs": [
@@ -1257,10 +1257,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:04.323382Z",
-     "iopub.status.busy": "2024-02-07T22:10:04.323031Z",
-     "iopub.status.idle": "2024-02-07T22:10:04.329588Z",
-     "shell.execute_reply": "2024-02-07T22:10:04.328964Z"
+     "iopub.execute_input": "2024-02-07T23:50:43.839485Z",
+     "iopub.status.busy": "2024-02-07T23:50:43.839314Z",
+     "iopub.status.idle": "2024-02-07T23:50:43.845958Z",
+     "shell.execute_reply": "2024-02-07T23:50:43.845400Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/datalab/text.html b/master/tutorials/datalab/text.html
index d5cdbc5a4..d7da7c975 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: {'visa_or_mastercard', 'getting_spare_card', 'apple_pay_or_google_pay', 'beneficiary_not_allowed', 'change_pin', 'card_about_to_expire', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'cancel_transfer', 'card_payment_fee_charged'}
+Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'cancel_transfer', 'getting_spare_card', 'card_about_to_expire', 'supported_cards_and_currencies', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'visa_or_mastercard', 'change_pin'}
 

 

 
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 18dadf034..d297bd27d 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": "2024-02-07T22:10:06.947323Z",
-     "iopub.status.busy": "2024-02-07T22:10:06.947148Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.939027Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.938409Z"
+     "iopub.execute_input": "2024-02-07T23:50:46.233862Z",
+     "iopub.status.busy": "2024-02-07T23:50:46.233691Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.479909Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.479357Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:10:09.941621Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.941215Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.944579Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.944140Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.482307Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.482016Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.485135Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.484703Z"
     }
    },
    "outputs": [],
@@ -145,10 +145,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.946445Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.946183Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.949100Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.948667Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.487098Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.486785Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.489812Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.489306Z"
     },
     "nbsphinx": "hidden"
    },
@@ -178,10 +178,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.951000Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.950733Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.991047Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.990478Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.491745Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.491425Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.528987Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.528551Z"
     }
    },
    "outputs": [
@@ -271,10 +271,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.993279Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.992913Z",
-     "iopub.status.idle": "2024-02-07T22:10:09.996608Z",
-     "shell.execute_reply": "2024-02-07T22:10:09.996099Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.530871Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.530546Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.533966Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.533472Z"
     }
    },
    "outputs": [
@@ -283,7 +283,7 @@
      "output_type": "stream",
      "text": [
       "This dataset has 10 classes.\n",
-      "Classes: {'visa_or_mastercard', 'getting_spare_card', 'apple_pay_or_google_pay', 'beneficiary_not_allowed', 'change_pin', 'card_about_to_expire', 'lost_or_stolen_phone', 'supported_cards_and_currencies', 'cancel_transfer', 'card_payment_fee_charged'}\n"
+      "Classes: {'beneficiary_not_allowed', 'card_payment_fee_charged', 'cancel_transfer', 'getting_spare_card', 'card_about_to_expire', 'supported_cards_and_currencies', 'apple_pay_or_google_pay', 'lost_or_stolen_phone', 'visa_or_mastercard', 'change_pin'}\n"
      ]
     }
    ],
@@ -307,10 +307,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:09.998677Z",
-     "iopub.status.busy": "2024-02-07T22:10:09.998368Z",
-     "iopub.status.idle": "2024-02-07T22:10:10.001537Z",
-     "shell.execute_reply": "2024-02-07T22:10:10.000982Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.535879Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.535606Z",
+     "iopub.status.idle": "2024-02-07T23:50:49.538753Z",
+     "shell.execute_reply": "2024-02-07T23:50:49.538216Z"
     }
    },
    "outputs": [
@@ -365,17 +365,17 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:10.003570Z",
-     "iopub.status.busy": "2024-02-07T22:10:10.003251Z",
-     "iopub.status.idle": "2024-02-07T22:10:14.583265Z",
-     "shell.execute_reply": "2024-02-07T22:10:14.582629Z"
+     "iopub.execute_input": "2024-02-07T23:50:49.540840Z",
+     "iopub.status.busy": "2024-02-07T23:50:49.540442Z",
+     "iopub.status.idle": "2024-02-07T23:50:53.722382Z",
+     "shell.execute_reply": "2024-02-07T23:50:53.721737Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "0d885c1a34b04b04a65e76462bc7f8ae",
+       "model_id": "c122193addbf4629b7ada89af7819966",
        "version_major": 2,
        "version_minor": 0
       },
@@ -389,7 +389,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "70b899115926475ab4ca6289cac6f98d",
+       "model_id": "49733f926f10403491687cd4d40d244f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -403,7 +403,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "455cdf2910fc4c79acb1d3b1b36f013d",
+       "model_id": "e83d2ad65dac4e88a3f2ccde21d67f7f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -417,7 +417,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "617ccbb8f42e4c1da705cc6973aae912",
+       "model_id": "294346972e994e1c991aae390ff08179",
        "version_major": 2,
        "version_minor": 0
       },
@@ -431,7 +431,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "a965f31be8c34295846ad4a509228998",
+       "model_id": "9a65587ca1b94945af7dcc0cfc29a026",
        "version_major": 2,
        "version_minor": 0
       },
@@ -445,7 +445,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c48d71673f824ce380d94b6bc999083a",
+       "model_id": "8e9d9888450346db8e3954d17cef036f",
        "version_major": 2,
        "version_minor": 0
       },
@@ -459,7 +459,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4eef59cd705841408e36d8db6510b5db",
+       "model_id": "2dd173e0deec4bd6bc92ad03b5a7656c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -521,10 +521,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:14.586075Z",
-     "iopub.status.busy": "2024-02-07T22:10:14.585631Z",
-     "iopub.status.idle": "2024-02-07T22:10:15.504919Z",
-     "shell.execute_reply": "2024-02-07T22:10:15.504346Z"
+     "iopub.execute_input": "2024-02-07T23:50:53.724982Z",
+     "iopub.status.busy": "2024-02-07T23:50:53.724780Z",
+     "iopub.status.idle": "2024-02-07T23:50:54.607508Z",
+     "shell.execute_reply": "2024-02-07T23:50:54.606933Z"
     },
     "scrolled": true
    },
@@ -556,10 +556,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:15.507830Z",
-     "iopub.status.busy": "2024-02-07T22:10:15.507434Z",
-     "iopub.status.idle": "2024-02-07T22:10:15.510302Z",
-     "shell.execute_reply": "2024-02-07T22:10:15.509822Z"
+     "iopub.execute_input": "2024-02-07T23:50:54.610305Z",
+     "iopub.status.busy": "2024-02-07T23:50:54.609824Z",
+     "iopub.status.idle": "2024-02-07T23:50:54.612703Z",
+     "shell.execute_reply": "2024-02-07T23:50:54.612237Z"
     }
    },
    "outputs": [],
@@ -579,10 +579,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:15.513318Z",
-     "iopub.status.busy": "2024-02-07T22:10:15.512296Z",
-     "iopub.status.idle": "2024-02-07T22:10:17.066860Z",
-     "shell.execute_reply": "2024-02-07T22:10:17.066217Z"
+     "iopub.execute_input": "2024-02-07T23:50:54.614977Z",
+     "iopub.status.busy": "2024-02-07T23:50:54.614633Z",
+     "iopub.status.idle": "2024-02-07T23:50:56.087451Z",
+     "shell.execute_reply": "2024-02-07T23:50:56.086626Z"
     },
     "scrolled": true
    },
@@ -626,10 +626,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:17.071173Z",
-     "iopub.status.busy": "2024-02-07T22:10:17.069847Z",
-     "iopub.status.idle": "2024-02-07T22:10:17.092618Z",
-     "shell.execute_reply": "2024-02-07T22:10:17.092122Z"
+     "iopub.execute_input": "2024-02-07T23:50:56.091488Z",
+     "iopub.status.busy": "2024-02-07T23:50:56.090197Z",
+     "iopub.status.idle": "2024-02-07T23:50:56.112835Z",
+     "shell.execute_reply": "2024-02-07T23:50:56.112316Z"
     },
     "scrolled": true
    },
@@ -756,10 +756,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:17.096131Z",
-     "iopub.status.busy": "2024-02-07T22:10:17.095219Z",
-     "iopub.status.idle": "2024-02-07T22:10:17.106575Z",
-     "shell.execute_reply": "2024-02-07T22:10:17.106103Z"
+     "iopub.execute_input": "2024-02-07T23:50:56.116330Z",
+     "iopub.status.busy": "2024-02-07T23:50:56.115399Z",
+     "iopub.status.idle": "2024-02-07T23:50:56.126920Z",
+     "shell.execute_reply": "2024-02-07T23:50:56.126444Z"
     },
     "scrolled": true
    },
@@ -869,10 +869,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:17.109988Z",
-     "iopub.status.busy": "2024-02-07T22:10:17.109076Z",
-     "iopub.status.idle": "2024-02-07T22:10:17.115450Z",
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diff --git a/master/tutorials/dataset_health.html b/master/tutorials/dataset_health.html
index cbddb38ef..7be089a58 100644
--- a/master/tutorials/dataset_health.html
+++ b/master/tutorials/dataset_health.html
@@ -1045,13 +1045,6 @@ 
Start of tutorial: Evaluate the health of 8 popular dataset
 
 🎯 Mnist_test_set 🎯
 
-
- -
-
-
-
-
 
 Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)
 
diff --git a/master/tutorials/dataset_health.ipynb b/master/tutorials/dataset_health.ipynb
index 4d4c8909b..a656e6dee 100644
--- a/master/tutorials/dataset_health.ipynb
+++ b/master/tutorials/dataset_health.ipynb
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     "dependencies = [\"cleanlab\", \"requests\"]\n",
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-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
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     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
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-     "iopub.status.idle": "2024-02-07T22:10:21.486136Z",
-     "shell.execute_reply": "2024-02-07T22:10:21.485591Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.153121Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.152624Z",
+     "iopub.status.idle": "2024-02-07T23:51:00.155459Z",
+     "shell.execute_reply": "2024-02-07T23:51:00.154942Z"
     },
     "id": "_UvI80l42iyi"
    },
@@ -201,10 +201,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:21.488244Z",
-     "iopub.status.busy": "2024-02-07T22:10:21.487938Z",
-     "iopub.status.idle": "2024-02-07T22:10:21.499556Z",
-     "shell.execute_reply": "2024-02-07T22:10:21.499007Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.157665Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.157286Z",
+     "iopub.status.idle": "2024-02-07T23:51:00.168842Z",
+     "shell.execute_reply": "2024-02-07T23:51:00.168305Z"
     },
     "nbsphinx": "hidden"
    },
@@ -283,10 +283,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:21.501697Z",
-     "iopub.status.busy": "2024-02-07T22:10:21.501285Z",
-     "iopub.status.idle": "2024-02-07T22:10:25.286494Z",
-     "shell.execute_reply": "2024-02-07T22:10:25.286003Z"
+     "iopub.execute_input": "2024-02-07T23:51:00.170850Z",
+     "iopub.status.busy": "2024-02-07T23:51:00.170540Z",
+     "iopub.status.idle": "2024-02-07T23:51:03.496922Z",
+     "shell.execute_reply": "2024-02-07T23:51:03.496339Z"
     },
     "id": "dhTHOg8Pyv5G"
    },
@@ -692,13 +692,7 @@
       "\n",
       "\n",
       "🎯 Mnist_test_set 🎯\n",
-      "\n"
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
+      "\n",
       "\n",
       "Loaded the 'mnist_test_set' dataset with predicted probabilities of shape (10000, 10)\n",
       "\n",
diff --git a/master/tutorials/faq.html b/master/tutorials/faq.html
index b4021fd5e..e05eb42bf 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?
-
+
-
+
@@ -1416,12 +1416,20 @@

How do I specify pre-computed data slices/clusters when detecting the Underp

-
+
 Finding underperforming_group issues ...
+
+
+
+
+
+
+
+
 
 Audit complete. 0 issues found in the dataset.
@@ -1578,7 +1586,7 @@

How to handle near-duplicate data identified by cleanlab? 
-/tmp/ipykernel_6061/1995098996.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_5828/1995098996.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 +1628,7 @@

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 a7665e67c..2827a0233 100644 --- a/master/tutorials/faq.ipynb +++ b/master/tutorials/faq.ipynb @@ -18,10 +18,10 @@ "id": "2a4efdde", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:27.452546Z", - "iopub.status.busy": "2024-02-07T22:10:27.452375Z", - "iopub.status.idle": "2024-02-07T22:10:28.497741Z", - "shell.execute_reply": "2024-02-07T22:10:28.497182Z" + "iopub.execute_input": "2024-02-07T23:51:05.455012Z", + "iopub.status.busy": "2024-02-07T23:51:05.454838Z", + "iopub.status.idle": "2024-02-07T23:51:06.473290Z", + "shell.execute_reply": "2024-02-07T23:51:06.472687Z" }, "nbsphinx": "hidden" }, @@ -97,10 +97,10 @@ "id": "239d5ee7", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:28.500549Z", - "iopub.status.busy": "2024-02-07T22:10:28.500102Z", - "iopub.status.idle": "2024-02-07T22:10:28.503908Z", - "shell.execute_reply": "2024-02-07T22:10:28.503487Z" + "iopub.execute_input": "2024-02-07T23:51:06.476374Z", + "iopub.status.busy": "2024-02-07T23:51:06.476069Z", + "iopub.status.idle": "2024-02-07T23:51:06.480293Z", + "shell.execute_reply": "2024-02-07T23:51:06.479735Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "id": "28b324aa", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:28.505941Z", - "iopub.status.busy": "2024-02-07T22:10:28.505673Z", - "iopub.status.idle": "2024-02-07T22:10:31.465345Z", - "shell.execute_reply": "2024-02-07T22:10:31.464742Z" + "iopub.execute_input": "2024-02-07T23:51:06.482920Z", + "iopub.status.busy": "2024-02-07T23:51:06.482459Z", + "iopub.status.idle": "2024-02-07T23:51:09.338068Z", + "shell.execute_reply": "2024-02-07T23:51:09.337471Z" } }, "outputs": [], @@ -162,10 +162,10 @@ "id": "28b324ab", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.468561Z", - "iopub.status.busy": "2024-02-07T22:10:31.467758Z", - "iopub.status.idle": "2024-02-07T22:10:31.504646Z", - "shell.execute_reply": "2024-02-07T22:10:31.504063Z" + "iopub.execute_input": "2024-02-07T23:51:09.340898Z", + "iopub.status.busy": "2024-02-07T23:51:09.340331Z", + "iopub.status.idle": "2024-02-07T23:51:09.370728Z", + "shell.execute_reply": "2024-02-07T23:51:09.370021Z" } }, "outputs": [], @@ -188,10 +188,10 @@ "id": "90c10e18", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.507191Z", - "iopub.status.busy": "2024-02-07T22:10:31.506891Z", - "iopub.status.idle": "2024-02-07T22:10:31.538074Z", - "shell.execute_reply": "2024-02-07T22:10:31.537474Z" + "iopub.execute_input": "2024-02-07T23:51:09.373389Z", + "iopub.status.busy": "2024-02-07T23:51:09.373025Z", + "iopub.status.idle": "2024-02-07T23:51:09.401579Z", + "shell.execute_reply": "2024-02-07T23:51:09.400876Z" } }, "outputs": [], @@ -213,10 +213,10 @@ "id": "88839519", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.540560Z", - "iopub.status.busy": "2024-02-07T22:10:31.540268Z", - "iopub.status.idle": "2024-02-07T22:10:31.543180Z", - "shell.execute_reply": "2024-02-07T22:10:31.542750Z" + "iopub.execute_input": "2024-02-07T23:51:09.404372Z", + "iopub.status.busy": "2024-02-07T23:51:09.403951Z", + "iopub.status.idle": "2024-02-07T23:51:09.407421Z", + "shell.execute_reply": "2024-02-07T23:51:09.407008Z" } }, "outputs": [], @@ -238,10 +238,10 @@ "id": "558490c2", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.545134Z", - "iopub.status.busy": "2024-02-07T22:10:31.544882Z", - "iopub.status.idle": "2024-02-07T22:10:31.547427Z", - "shell.execute_reply": "2024-02-07T22:10:31.546973Z" + "iopub.execute_input": "2024-02-07T23:51:09.409324Z", + "iopub.status.busy": "2024-02-07T23:51:09.409015Z", + "iopub.status.idle": "2024-02-07T23:51:09.411602Z", + "shell.execute_reply": "2024-02-07T23:51:09.411146Z" } }, "outputs": [], @@ -298,10 +298,10 @@ "id": "41714b51", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.549452Z", - "iopub.status.busy": "2024-02-07T22:10:31.549197Z", - "iopub.status.idle": "2024-02-07T22:10:31.571926Z", - "shell.execute_reply": "2024-02-07T22:10:31.571367Z" + "iopub.execute_input": "2024-02-07T23:51:09.413787Z", + "iopub.status.busy": "2024-02-07T23:51:09.413391Z", + "iopub.status.idle": "2024-02-07T23:51:09.438151Z", + "shell.execute_reply": "2024-02-07T23:51:09.437621Z" } }, "outputs": [ @@ -315,7 +315,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "2c25091c0e304b75a635d082e4c6a8ae", + "model_id": "1f0a59e748704a83935f5135d15c1d2b", "version_major": 2, "version_minor": 0 }, @@ -329,7 +329,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "05cb13f0b3d24b2c80ccb203c55bfb3a", + "model_id": "13ee7841383649f8b84f5a090929a0f2", "version_major": 2, "version_minor": 0 }, @@ -387,10 +387,10 @@ "id": "20476c70", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.579230Z", - "iopub.status.busy": "2024-02-07T22:10:31.578965Z", - "iopub.status.idle": "2024-02-07T22:10:31.585408Z", - "shell.execute_reply": "2024-02-07T22:10:31.584997Z" + "iopub.execute_input": "2024-02-07T23:51:09.443984Z", + "iopub.status.busy": "2024-02-07T23:51:09.443652Z", + "iopub.status.idle": "2024-02-07T23:51:09.449921Z", + "shell.execute_reply": "2024-02-07T23:51:09.449510Z" }, "nbsphinx": "hidden" }, @@ -421,10 +421,10 @@ "id": "6983cdad", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.587392Z", - "iopub.status.busy": "2024-02-07T22:10:31.587038Z", - "iopub.status.idle": "2024-02-07T22:10:31.590434Z", - "shell.execute_reply": "2024-02-07T22:10:31.589989Z" + "iopub.execute_input": "2024-02-07T23:51:09.451774Z", + "iopub.status.busy": "2024-02-07T23:51:09.451528Z", + "iopub.status.idle": "2024-02-07T23:51:09.454944Z", + "shell.execute_reply": "2024-02-07T23:51:09.454496Z" }, "nbsphinx": "hidden" }, @@ -447,10 +447,10 @@ "id": "9092b8a0", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.592502Z", - "iopub.status.busy": "2024-02-07T22:10:31.592174Z", - "iopub.status.idle": "2024-02-07T22:10:31.598237Z", - "shell.execute_reply": "2024-02-07T22:10:31.597809Z" + "iopub.execute_input": "2024-02-07T23:51:09.456868Z", + "iopub.status.busy": "2024-02-07T23:51:09.456584Z", + "iopub.status.idle": "2024-02-07T23:51:09.462775Z", + "shell.execute_reply": "2024-02-07T23:51:09.462226Z" } }, "outputs": [], @@ -500,10 +500,10 @@ "id": "b0a01109", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.600071Z", - "iopub.status.busy": "2024-02-07T22:10:31.599903Z", - "iopub.status.idle": "2024-02-07T22:10:31.635926Z", - "shell.execute_reply": "2024-02-07T22:10:31.635199Z" + "iopub.execute_input": "2024-02-07T23:51:09.464784Z", + "iopub.status.busy": "2024-02-07T23:51:09.464418Z", + "iopub.status.idle": "2024-02-07T23:51:09.496417Z", + "shell.execute_reply": "2024-02-07T23:51:09.495700Z" } }, "outputs": [], @@ -520,10 +520,10 @@ "id": "8b1da032", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.638662Z", - "iopub.status.busy": "2024-02-07T22:10:31.638298Z", - "iopub.status.idle": "2024-02-07T22:10:31.672896Z", - "shell.execute_reply": "2024-02-07T22:10:31.672308Z" + "iopub.execute_input": "2024-02-07T23:51:09.498767Z", + "iopub.status.busy": "2024-02-07T23:51:09.498552Z", + "iopub.status.idle": "2024-02-07T23:51:09.526519Z", + "shell.execute_reply": "2024-02-07T23:51:09.525829Z" }, "nbsphinx": "hidden" }, @@ -602,10 +602,10 @@ "id": "4c9e9030", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.675572Z", - "iopub.status.busy": "2024-02-07T22:10:31.675187Z", - "iopub.status.idle": "2024-02-07T22:10:31.803427Z", - "shell.execute_reply": "2024-02-07T22:10:31.802840Z" + "iopub.execute_input": "2024-02-07T23:51:09.529394Z", + "iopub.status.busy": "2024-02-07T23:51:09.528909Z", + "iopub.status.idle": "2024-02-07T23:51:09.651328Z", + "shell.execute_reply": "2024-02-07T23:51:09.650790Z" } }, "outputs": [ @@ -672,10 +672,10 @@ "id": "8751619e", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:31.806059Z", - "iopub.status.busy": "2024-02-07T22:10:31.805418Z", - "iopub.status.idle": "2024-02-07T22:10:34.901493Z", - "shell.execute_reply": "2024-02-07T22:10:34.900838Z" + "iopub.execute_input": "2024-02-07T23:51:09.654079Z", + "iopub.status.busy": "2024-02-07T23:51:09.653293Z", + "iopub.status.idle": "2024-02-07T23:51:12.638133Z", + "shell.execute_reply": "2024-02-07T23:51:12.637512Z" } }, "outputs": [ @@ -761,10 +761,10 @@ "id": "623df36d", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:34.903881Z", - "iopub.status.busy": "2024-02-07T22:10:34.903524Z", - "iopub.status.idle": "2024-02-07T22:10:34.961241Z", - "shell.execute_reply": "2024-02-07T22:10:34.960728Z" + "iopub.execute_input": "2024-02-07T23:51:12.640414Z", + "iopub.status.busy": "2024-02-07T23:51:12.640232Z", + "iopub.status.idle": "2024-02-07T23:51:12.700289Z", + "shell.execute_reply": "2024-02-07T23:51:12.699728Z" } }, "outputs": [ @@ -1206,7 +1206,7 @@ }, { "cell_type": "markdown", - "id": "fc603ddf", + "id": "ce26211e", "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": "3eef2541", + "id": "b06d92f4", "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": "bee6fe2a", + "id": "ea762ae8", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:34.963472Z", - "iopub.status.busy": "2024-02-07T22:10:34.963133Z", - "iopub.status.idle": "2024-02-07T22:10:35.059654Z", - "shell.execute_reply": "2024-02-07T22:10:35.059063Z" + "iopub.execute_input": "2024-02-07T23:51:12.702418Z", + "iopub.status.busy": "2024-02-07T23:51:12.702105Z", + "iopub.status.idle": "2024-02-07T23:51:12.780616Z", + "shell.execute_reply": "2024-02-07T23:51:12.780126Z" } }, "outputs": [ @@ -1274,7 +1274,7 @@ }, { "cell_type": "markdown", - "id": "bb0353d1", + "id": "ef415656", "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": "40fe9448", + "id": "01a67f53", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:35.062203Z", - "iopub.status.busy": "2024-02-07T22:10:35.061944Z", - "iopub.status.idle": "2024-02-07T22:10:35.130321Z", - "shell.execute_reply": "2024-02-07T22:10:35.129748Z" + "iopub.execute_input": "2024-02-07T23:51:12.783162Z", + "iopub.status.busy": "2024-02-07T23:51:12.782885Z", + "iopub.status.idle": "2024-02-07T23:51:12.844744Z", + "shell.execute_reply": "2024-02-07T23:51:12.844293Z" } }, "outputs": [ @@ -1297,7 +1297,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "Finding underperforming_group issues ...\n", + "Finding underperforming_group issues ..." + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", "\n", "Audit complete. 0 issues found in the dataset.\n" ] @@ -1325,7 +1332,7 @@ }, { "cell_type": "markdown", - "id": "f3c05afd", + "id": "01300d0b", "metadata": {}, "source": [ "### How to handle near-duplicate data identified by cleanlab?\n", @@ -1336,13 +1343,13 @@ { "cell_type": "code", "execution_count": 19, - "id": "f74e26fd", + "id": "cc35bf44", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:35.132892Z", - "iopub.status.busy": "2024-02-07T22:10:35.132688Z", - "iopub.status.idle": "2024-02-07T22:10:35.142277Z", - "shell.execute_reply": "2024-02-07T22:10:35.141716Z" + "iopub.execute_input": "2024-02-07T23:51:12.847304Z", + "iopub.status.busy": "2024-02-07T23:51:12.847003Z", + "iopub.status.idle": "2024-02-07T23:51:12.864134Z", + "shell.execute_reply": "2024-02-07T23:51:12.863661Z" } }, "outputs": [], @@ -1444,7 +1451,7 @@ }, { "cell_type": "markdown", - "id": "1909cd9a", + "id": "3e6233f1", "metadata": {}, "source": [ "The functions above collect sets of near-duplicate examples. Within each\n", @@ -1459,13 +1466,13 @@ { "cell_type": "code", "execution_count": 20, - "id": "f4adae44", + "id": "dfdf91ae", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:35.144450Z", - "iopub.status.busy": "2024-02-07T22:10:35.144137Z", - "iopub.status.idle": "2024-02-07T22:10:35.163091Z", - "shell.execute_reply": "2024-02-07T22:10:35.162505Z" + "iopub.execute_input": "2024-02-07T23:51:12.866623Z", + "iopub.status.busy": "2024-02-07T23:51:12.866327Z", + "iopub.status.idle": "2024-02-07T23:51:12.886313Z", + "shell.execute_reply": "2024-02-07T23:51:12.885931Z" } }, "outputs": [ @@ -1482,7 +1489,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_6061/1995098996.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_5828/1995098996.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 +1523,13 @@ { "cell_type": "code", "execution_count": 21, - "id": "27025c00", + "id": "ec960a88", "metadata": { "execution": { - "iopub.execute_input": "2024-02-07T22:10:35.165075Z", - "iopub.status.busy": "2024-02-07T22:10:35.164775Z", - "iopub.status.idle": "2024-02-07T22:10:35.167916Z", - "shell.execute_reply": "2024-02-07T22:10:35.167398Z" + "iopub.execute_input": "2024-02-07T23:51:12.888153Z", + "iopub.status.busy": "2024-02-07T23:51:12.887892Z", + "iopub.status.idle": "2024-02-07T23:51:12.890674Z", + "shell.execute_reply": "2024-02-07T23:51:12.890305Z" } }, "outputs": [ @@ -1617,7 +1624,23 @@ "widgets": { "application/vnd.jupyter.widget-state+json": { "state": { - "05cb13f0b3d24b2c80ccb203c55bfb3a": { + "109440f4ecdb45e48bd5dfb4e921937f": { + "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": "" + } + }, + "13ee7841383649f8b84f5a090929a0f2": { "model_module": "@jupyter-widgets/controls", "model_module_version": "2.0.0", "model_name": "HBoxModel", @@ -1632,16 +1655,93 @@ "_view_name": "HBoxView", "box_style": "", "children": [ - 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[00:00<00:00, 1373335.52it/s]" } } }, diff --git a/master/tutorials/image.html b/master/tutorials/image.html index b5419c9fb..b126679db 100644 --- a/master/tutorials/image.html +++ b/master/tutorials/image.html @@ -642,25 +642,25 @@

2. Fetch and normalize the Fashion-MNIST dataset
-
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[3]:
@@ -715,7 +715,7 @@ 
2. Fetch and normalize the Fashion-MNIST dataset
-
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Convert the transformed dataset to a torch dataset. Torch datasets are more efficient with dataloading in practice.

@@ -971,7 +971,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.872
+epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.643

@@ -979,7 +979,7 @@

5. Compute out-of-sample predicted probabilities and feature embeddings 
-epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.584
+epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.435
 Computing feature embeddings ...

@@ -1023,16 +1023,16 @@

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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@@ -2373,7 +2338,7 @@ 
7. Use cleanlab to find issues
 

 

-

+
 
 

 

@@ -3212,35 +3177,35 @@ 
Low information images
     
       
-      is_low_information_issue
       low_information_score
+      is_low_information_issue
     
   
   
     
       53050
-      True
       0.067975
+      True
     
     
       40875
-      True
       0.089929
+      True
     
     
       9594
-      True
       0.092601
+      True
     
     
       34825
-      True
       0.107744
+      True
     
     
       37530
-      True
       0.108516
+      True
     
   
 
@@ -3268,7 +3233,7 @@ 
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 1ddbcfb2b..b5eaf0560 100644
--- a/master/tutorials/image.ipynb
+++ b/master/tutorials/image.ipynb
@@ -71,10 +71,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:38.419113Z",
-     "iopub.status.busy": "2024-02-07T22:10:38.418945Z",
-     "iopub.status.idle": "2024-02-07T22:10:41.179916Z",
-     "shell.execute_reply": "2024-02-07T22:10:41.179338Z"
+     "iopub.execute_input": "2024-02-07T23:51:15.881810Z",
+     "iopub.status.busy": "2024-02-07T23:51:15.881636Z",
+     "iopub.status.idle": "2024-02-07T23:51:18.606850Z",
+     "shell.execute_reply": "2024-02-07T23:51:18.606230Z"
     },
     "nbsphinx": "hidden"
    },
@@ -112,10 +112,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:41.182330Z",
-     "iopub.status.busy": "2024-02-07T22:10:41.182041Z",
-     "iopub.status.idle": "2024-02-07T22:10:41.185719Z",
-     "shell.execute_reply": "2024-02-07T22:10:41.185287Z"
+     "iopub.execute_input": "2024-02-07T23:51:18.609445Z",
+     "iopub.status.busy": "2024-02-07T23:51:18.609155Z",
+     "iopub.status.idle": "2024-02-07T23:51:18.612709Z",
+     "shell.execute_reply": "2024-02-07T23:51:18.612173Z"
     }
    },
    "outputs": [],
@@ -152,17 +152,17 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:41.187549Z",
-     "iopub.status.busy": "2024-02-07T22:10:41.187370Z",
-     "iopub.status.idle": "2024-02-07T22:10:43.573339Z",
-     "shell.execute_reply": "2024-02-07T22:10:43.572876Z"
+     "iopub.execute_input": "2024-02-07T23:51:18.614784Z",
+     "iopub.status.busy": "2024-02-07T23:51:18.614359Z",
+     "iopub.status.idle": "2024-02-07T23:51:20.434279Z",
+     "shell.execute_reply": "2024-02-07T23:51:20.433763Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "150b7b9c86184b3a81ec2e9d2c4862a1",
+       "model_id": "7fc3c32bcf1148368c0a1dd69f0726fc",
        "version_major": 2,
        "version_minor": 0
       },
@@ -176,7 +176,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "1075a3bfa6094847a1f22a2a826545d8",
+       "model_id": "33e6bf1a962241b9965f57093ccfbea2",
        "version_major": 2,
        "version_minor": 0
       },
@@ -190,7 +190,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "67691e10a0ac4a259f3747a827b350d5",
+       "model_id": "8488030d7afb4e4c95288794d76c2b48",
        "version_major": 2,
        "version_minor": 0
       },
@@ -204,7 +204,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f297df970eaa40368e0d02896d28f3b8",
+       "model_id": "75399c16f9a9462ab14c8fc2e9c2b817",
        "version_major": 2,
        "version_minor": 0
       },
@@ -246,10 +246,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:43.575644Z",
-     "iopub.status.busy": "2024-02-07T22:10:43.575289Z",
-     "iopub.status.idle": "2024-02-07T22:10:43.579073Z",
-     "shell.execute_reply": "2024-02-07T22:10:43.578518Z"
+     "iopub.execute_input": "2024-02-07T23:51:20.436485Z",
+     "iopub.status.busy": "2024-02-07T23:51:20.436157Z",
+     "iopub.status.idle": "2024-02-07T23:51:20.440017Z",
+     "shell.execute_reply": "2024-02-07T23:51:20.439436Z"
     }
    },
    "outputs": [
@@ -274,17 +274,17 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:43.581168Z",
-     "iopub.status.busy": "2024-02-07T22:10:43.580868Z",
-     "iopub.status.idle": "2024-02-07T22:10:54.969790Z",
-     "shell.execute_reply": "2024-02-07T22:10:54.969260Z"
+     "iopub.execute_input": "2024-02-07T23:51:20.442272Z",
+     "iopub.status.busy": "2024-02-07T23:51:20.441887Z",
+     "iopub.status.idle": "2024-02-07T23:51:31.626856Z",
+     "shell.execute_reply": "2024-02-07T23:51:31.626349Z"
     }
    },
    "outputs": [
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5b393b5be18c4614bbbe5748904485e6",
+       "model_id": "def052e51c5d4bc1b365fb7a46f00d5e",
        "version_major": 2,
        "version_minor": 0
       },
@@ -322,10 +322,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:10:54.972318Z",
-     "iopub.status.busy": "2024-02-07T22:10:54.972030Z",
-     "iopub.status.idle": "2024-02-07T22:11:13.025094Z",
-     "shell.execute_reply": "2024-02-07T22:11:13.024547Z"
+     "iopub.execute_input": "2024-02-07T23:51:31.629265Z",
+     "iopub.status.busy": "2024-02-07T23:51:31.628926Z",
+     "iopub.status.idle": "2024-02-07T23:51:49.868014Z",
+     "shell.execute_reply": "2024-02-07T23:51:49.867458Z"
     }
    },
    "outputs": [],
@@ -358,10 +358,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:13.027702Z",
-     "iopub.status.busy": "2024-02-07T22:11:13.027309Z",
-     "iopub.status.idle": "2024-02-07T22:11:13.033230Z",
-     "shell.execute_reply": "2024-02-07T22:11:13.032780Z"
+     "iopub.execute_input": "2024-02-07T23:51:49.870696Z",
+     "iopub.status.busy": "2024-02-07T23:51:49.870322Z",
+     "iopub.status.idle": "2024-02-07T23:51:49.876254Z",
+     "shell.execute_reply": "2024-02-07T23:51:49.875791Z"
     }
    },
    "outputs": [],
@@ -399,10 +399,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:13.035125Z",
-     "iopub.status.busy": "2024-02-07T22:11:13.034795Z",
-     "iopub.status.idle": "2024-02-07T22:11:13.038441Z",
-     "shell.execute_reply": "2024-02-07T22:11:13.038047Z"
+     "iopub.execute_input": "2024-02-07T23:51:49.878157Z",
+     "iopub.status.busy": "2024-02-07T23:51:49.877790Z",
+     "iopub.status.idle": "2024-02-07T23:51:49.881768Z",
+     "shell.execute_reply": "2024-02-07T23:51:49.881250Z"
     },
     "nbsphinx": "hidden"
    },
@@ -539,10 +539,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:13.040408Z",
-     "iopub.status.busy": "2024-02-07T22:11:13.040096Z",
-     "iopub.status.idle": "2024-02-07T22:11:13.048723Z",
-     "shell.execute_reply": "2024-02-07T22:11:13.048299Z"
+     "iopub.execute_input": "2024-02-07T23:51:49.883955Z",
+     "iopub.status.busy": "2024-02-07T23:51:49.883621Z",
+     "iopub.status.idle": "2024-02-07T23:51:49.892194Z",
+     "shell.execute_reply": "2024-02-07T23:51:49.891730Z"
     },
     "nbsphinx": "hidden"
    },
@@ -667,10 +667,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:13.050685Z",
-     "iopub.status.busy": "2024-02-07T22:11:13.050442Z",
-     "iopub.status.idle": "2024-02-07T22:11:13.077420Z",
-     "shell.execute_reply": "2024-02-07T22:11:13.076808Z"
+     "iopub.execute_input": "2024-02-07T23:51:49.894038Z",
+     "iopub.status.busy": "2024-02-07T23:51:49.893778Z",
+     "iopub.status.idle": "2024-02-07T23:51:49.921230Z",
+     "shell.execute_reply": "2024-02-07T23:51:49.920805Z"
     }
    },
    "outputs": [],
@@ -707,10 +707,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:13.079978Z",
-     "iopub.status.busy": "2024-02-07T22:11:13.079643Z",
-     "iopub.status.idle": "2024-02-07T22:11:45.583620Z",
-     "shell.execute_reply": "2024-02-07T22:11:45.582818Z"
+     "iopub.execute_input": "2024-02-07T23:51:49.923139Z",
+     "iopub.status.busy": "2024-02-07T23:51:49.922820Z",
+     "iopub.status.idle": "2024-02-07T23:52:21.122766Z",
+     "shell.execute_reply": "2024-02-07T23:52:21.122031Z"
     }
    },
    "outputs": [
@@ -726,14 +726,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.872\n"
+      "epoch: 1 loss: 0.482 test acc: 86.720 time_taken: 4.643\n"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.584\n",
+      "epoch: 2 loss: 0.329 test acc: 88.195 time_taken: 4.435\n",
       "Computing feature embeddings ...\n"
      ]
     },
@@ -750,7 +750,7 @@
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       "\r",
-      "  2%|▎         | 1/40 [00:00<00:03,  9.78it/s]"
+      "  2%|▎         | 1/40 [00:00<00:03,  9.80it/s]"
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@@ -758,7 +758,7 @@
      "output_type": "stream",
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       "\r",
-      " 20%|██        | 8/40 [00:00<00:00, 43.59it/s]"
+      " 20%|██        | 8/40 [00:00<00:00, 43.66it/s]"
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@@ -766,7 +766,7 @@
      "output_type": "stream",
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       "\r",
-      " 35%|███▌      | 14/40 [00:00<00:00, 50.24it/s]"
+      " 40%|████      | 16/40 [00:00<00:00, 56.74it/s]"
      ]
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@@ -774,7 +774,7 @@
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-      " 52%|█████▎    | 21/40 [00:00<00:00, 57.40it/s]"
+      " 57%|█████▊    | 23/40 [00:00<00:00, 59.69it/s]"
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@@ -782,7 +782,7 @@
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-      " 72%|███████▎  | 29/40 [00:00<00:00, 62.55it/s]"
+      " 75%|███████▌  | 30/40 [00:00<00:00, 60.95it/s]"
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@@ -790,7 +790,7 @@
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       "\r",
-      " 92%|█████████▎| 37/40 [00:00<00:00, 67.66it/s]"
+      " 95%|█████████▌| 38/40 [00:00<00:00, 66.20it/s]"
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@@ -798,7 +798,7 @@
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-      "100%|██████████| 40/40 [00:00<00:00, 58.42it/s]"
+      "100%|██████████| 40/40 [00:00<00:00, 59.00it/s]"
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@@ -828,7 +828,7 @@
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+      "  5%|▌         | 2/40 [00:00<00:02, 18.73it/s]"
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@@ -836,7 +836,7 @@
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+      " 22%|██▎       | 9/40 [00:00<00:00, 47.56it/s]"
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@@ -844,7 +844,7 @@
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     {
@@ -898,14 +898,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.878\n"
+      "epoch: 1 loss: 0.493 test acc: 87.060 time_taken: 4.627\n"
      ]
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     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.623\n",
+      "epoch: 2 loss: 0.330 test acc: 88.505 time_taken: 4.443\n",
       "Computing feature embeddings ...\n"
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@@ -1070,14 +1070,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.760\n"
+      "epoch: 1 loss: 0.476 test acc: 86.340 time_taken: 4.622\n"
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     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.601\n",
+      "epoch: 2 loss: 0.328 test acc: 86.310 time_taken: 4.436\n",
       "Computing feature embeddings ...\n"
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+      " 42%|████▎     | 17/40 [00:00<00:00, 55.65it/s]"
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@@ -1196,7 +1196,7 @@
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-     ]
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-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "\r",
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+      "100%|██████████| 40/40 [00:00<00:00, 61.46it/s]"
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     {
@@ -1297,10 +1289,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:45.585975Z",
-     "iopub.status.busy": "2024-02-07T22:11:45.585741Z",
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-     "shell.execute_reply": "2024-02-07T22:11:45.599732Z"
+     "iopub.execute_input": "2024-02-07T23:52:21.125104Z",
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    "outputs": [],
@@ -1325,10 +1317,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:45.602241Z",
-     "iopub.status.busy": "2024-02-07T22:11:45.601991Z",
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-     "shell.execute_reply": "2024-02-07T22:11:46.070732Z"
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     }
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@@ -1348,10 +1340,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:11:46.073789Z",
-     "iopub.status.busy": "2024-02-07T22:11:46.073607Z",
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-     "shell.execute_reply": "2024-02-07T22:15:13.725548Z"
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+     "shell.execute_reply": "2024-02-07T23:55:46.522791Z"
     }
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    "outputs": [
@@ -1390,7 +1382,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "06bcff0001014bfb950d1828761c0eaa",
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        "version_major": 2,
        "version_minor": 0
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@@ -1429,10 +1421,10 @@
    "execution_count": 15,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:13.728842Z",
-     "iopub.status.busy": "2024-02-07T22:15:13.728169Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.182926Z"
+     "iopub.execute_input": "2024-02-07T23:55:46.525817Z",
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    "outputs": [
@@ -1580,10 +1572,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:14.186298Z",
-     "iopub.status.busy": "2024-02-07T22:15:14.185789Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.247163Z"
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@@ -1687,10 +1679,10 @@
    "execution_count": 17,
    "metadata": {
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-     "shell.execute_reply": "2024-02-07T22:15:14.257501Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.032998Z",
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    "outputs": [
@@ -1820,10 +1812,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:14.259872Z",
-     "iopub.status.busy": "2024-02-07T22:15:14.259698Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.264180Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.043175Z",
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@@ -1869,10 +1861,10 @@
    "execution_count": 19,
    "metadata": {
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-     "iopub.status.busy": "2024-02-07T22:15:14.266233Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.771240Z"
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    "outputs": [
@@ -1907,10 +1899,10 @@
    "execution_count": 20,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:14.774093Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.781863Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.565638Z",
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    "outputs": [
@@ -2077,10 +2069,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:14.784695Z",
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-     "shell.execute_reply": "2024-02-07T22:15:14.792106Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.575826Z",
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     "nbsphinx": "hidden"
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@@ -2156,10 +2148,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:14.794419Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.265586Z"
+     "iopub.execute_input": "2024-02-07T23:55:47.584184Z",
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     }
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    "outputs": [
@@ -2196,10 +2188,10 @@
    "execution_count": 23,
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:15:15.268447Z",
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-     "shell.execute_reply": "2024-02-07T22:15:15.284211Z"
+     "iopub.execute_input": "2024-02-07T23:55:48.048037Z",
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     }
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    "outputs": [
@@ -2356,10 +2348,10 @@
    "execution_count": 24,
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@@ -2404,10 +2396,10 @@
    "execution_count": 25,
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@@ -2489,10 +2481,10 @@
    "execution_count": 26,
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@@ -2620,10 +2612,10 @@
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@@ -2660,10 +2652,10 @@
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@@ -2705,10 +2697,10 @@
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@@ -2733,47 +2725,47 @@
        "  \n",
        "    \n",
        "      \n",
-       "      is_low_information_issue\n",
        "      low_information_score\n",
+       "      is_low_information_issue\n",
        "    \n",
        "  \n",
        "  \n",
        "    \n",
        "      53050\n",
-       "      True\n",
        "      0.067975\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      40875\n",
-       "      True\n",
        "      0.089929\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      9594\n",
-       "      True\n",
        "      0.092601\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      34825\n",
-       "      True\n",
        "      0.107744\n",
+       "      True\n",
        "    \n",
        "    \n",
        "      37530\n",
-       "      True\n",
        "      0.108516\n",
+       "      True\n",
        "    \n",
        "  \n",
        "\n",
        "
"
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       "text/plain": [
-       "       is_low_information_issue  low_information_score\n",
-       "53050                      True               0.067975\n",
-       "40875                      True               0.089929\n",
-       "9594                       True               0.092601\n",
-       "34825                      True               0.107744\n",
-       "37530                      True               0.108516"
+       "       low_information_score  is_low_information_issue\n",
+       "53050               0.067975                      True\n",
+       "40875               0.089929                      True\n",
+       "9594                0.092601                      True\n",
+       "34825               0.107744                      True\n",
+       "37530               0.108516                      True"
       ]
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      "execution_count": 29,
@@ -2794,10 +2786,10 @@
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@@ -2837,10 +2829,10 @@
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diff --git a/master/tutorials/indepth_overview.ipynb b/master/tutorials/indepth_overview.ipynb
index eedb2b4a0..fcbca0822 100644
--- a/master/tutorials/indepth_overview.ipynb
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     "dependencies = [\"cleanlab\", \"matplotlib\", \"datasets\"]\n",
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-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
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-     "iopub.status.busy": "2024-02-07T22:15:22.636572Z",
-     "iopub.status.idle": "2024-02-07T22:15:22.648321Z",
-     "shell.execute_reply": "2024-02-07T22:15:22.647894Z"
+     "iopub.execute_input": "2024-02-07T23:55:54.050158Z",
+     "iopub.status.busy": "2024-02-07T23:55:54.049974Z",
+     "iopub.status.idle": "2024-02-07T23:55:54.061117Z",
+     "shell.execute_reply": "2024-02-07T23:55:54.060658Z"
     },
     "nbsphinx": "hidden"
    },
@@ -340,10 +340,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:22.650316Z",
-     "iopub.status.busy": "2024-02-07T22:15:22.649989Z",
-     "iopub.status.idle": "2024-02-07T22:15:22.883619Z",
-     "shell.execute_reply": "2024-02-07T22:15:22.883022Z"
+     "iopub.execute_input": "2024-02-07T23:55:54.062919Z",
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+     "shell.execute_reply": "2024-02-07T23:55:54.296880Z"
     }
    },
    "outputs": [
@@ -393,10 +393,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:22.885905Z",
-     "iopub.status.busy": "2024-02-07T22:15:22.885576Z",
-     "iopub.status.idle": "2024-02-07T22:15:22.911960Z",
-     "shell.execute_reply": "2024-02-07T22:15:22.911384Z"
+     "iopub.execute_input": "2024-02-07T23:55:54.299486Z",
+     "iopub.status.busy": "2024-02-07T23:55:54.299307Z",
+     "iopub.status.idle": "2024-02-07T23:55:54.325624Z",
+     "shell.execute_reply": "2024-02-07T23:55:54.325176Z"
     }
    },
    "outputs": [],
@@ -427,10 +427,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:22.914485Z",
-     "iopub.status.busy": "2024-02-07T22:15:22.913996Z",
-     "iopub.status.idle": "2024-02-07T22:15:24.619121Z",
-     "shell.execute_reply": "2024-02-07T22:15:24.618526Z"
+     "iopub.execute_input": "2024-02-07T23:55:54.327440Z",
+     "iopub.status.busy": "2024-02-07T23:55:54.327261Z",
+     "iopub.status.idle": "2024-02-07T23:55:55.923609Z",
+     "shell.execute_reply": "2024-02-07T23:55:55.922962Z"
     }
    },
    "outputs": [
@@ -473,10 +473,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:24.621699Z",
-     "iopub.status.busy": "2024-02-07T22:15:24.621099Z",
-     "iopub.status.idle": "2024-02-07T22:15:24.637180Z",
-     "shell.execute_reply": "2024-02-07T22:15:24.636739Z"
+     "iopub.execute_input": "2024-02-07T23:55:55.926111Z",
+     "iopub.status.busy": "2024-02-07T23:55:55.925634Z",
+     "iopub.status.idle": "2024-02-07T23:55:55.942989Z",
+     "shell.execute_reply": "2024-02-07T23:55:55.942452Z"
     },
     "scrolled": true
    },
@@ -603,10 +603,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:24.639293Z",
-     "iopub.status.busy": "2024-02-07T22:15:24.639017Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.071028Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.070435Z"
+     "iopub.execute_input": "2024-02-07T23:55:55.944841Z",
+     "iopub.status.busy": "2024-02-07T23:55:55.944659Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.319622Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.319078Z"
     },
     "id": "AaHC5MRKjruT"
    },
@@ -725,10 +725,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.073837Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.073006Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.086788Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.086329Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.322169Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.321580Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.335184Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.334645Z"
     },
     "id": "Wy27rvyhjruU"
    },
@@ -777,10 +777,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.089018Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.088676Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.166965Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.166362Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.337271Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.336902Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.408692Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.408157Z"
     },
     "id": "Db8YHnyVjruU"
    },
@@ -887,10 +887,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.169567Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.169069Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.381855Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.381243Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.410865Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.410584Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.618710Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.618185Z"
     },
     "id": "iJqAHuS2jruV"
    },
@@ -927,10 +927,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.383995Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.383801Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.401001Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.400532Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.620862Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.620521Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.636978Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.636540Z"
     },
     "id": "PcPTZ_JJG3Cx"
    },
@@ -1396,10 +1396,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.403060Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.402733Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.412648Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.412212Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.638931Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.638611Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.648032Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.647545Z"
     },
     "id": "0lonvOYvjruV"
    },
@@ -1546,10 +1546,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.414515Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.414337Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.507527Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.506872Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.650008Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.649677Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.735094Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.734511Z"
     },
     "id": "MfqTCa3kjruV"
    },
@@ -1630,10 +1630,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.510067Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.509583Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.645559Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.645002Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.737432Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.737237Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.855160Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.854608Z"
     },
     "id": "9ZtWAYXqMAPL"
    },
@@ -1693,10 +1693,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.647901Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.647610Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.651464Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.650960Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.857572Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.857138Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.861016Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.860464Z"
     },
     "id": "0rXP3ZPWjruW"
    },
@@ -1734,10 +1734,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.653401Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.653143Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.656733Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.656187Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.863057Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.862660Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.866556Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.865984Z"
     },
     "id": "-iRPe8KXjruW"
    },
@@ -1792,10 +1792,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.658643Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.658386Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.695310Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.694804Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.868833Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.868415Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.905529Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.905083Z"
     },
     "id": "ZpipUliyjruW"
    },
@@ -1846,10 +1846,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.697492Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.697153Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.740554Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.739987Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.907438Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.907262Z",
+     "iopub.status.idle": "2024-02-07T23:55:57.950758Z",
+     "shell.execute_reply": "2024-02-07T23:55:57.950272Z"
     },
     "id": "SLq-3q4xjruX"
    },
@@ -1918,10 +1918,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.742713Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.742403Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.841701Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.840988Z"
+     "iopub.execute_input": "2024-02-07T23:55:57.952847Z",
+     "iopub.status.busy": "2024-02-07T23:55:57.952459Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.044023Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.043409Z"
     },
     "id": "g5LHhhuqFbXK"
    },
@@ -1953,10 +1953,10 @@
    "execution_count": 21,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.844347Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.844156Z",
-     "iopub.status.idle": "2024-02-07T22:15:26.944490Z",
-     "shell.execute_reply": "2024-02-07T22:15:26.943909Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.046632Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.046286Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.131106Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.130530Z"
     },
     "id": "p7w8F8ezBcet"
    },
@@ -2013,10 +2013,10 @@
    "execution_count": 22,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:26.946747Z",
-     "iopub.status.busy": "2024-02-07T22:15:26.946443Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.154696Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.154138Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.133293Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.133056Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.344933Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.344357Z"
     },
     "id": "WETRL74tE_sU"
    },
@@ -2051,10 +2051,10 @@
    "execution_count": 23,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.156796Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.156608Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.353494Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.352882Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.347184Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.346751Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.510583Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.509985Z"
     },
     "id": "kCfdx2gOLmXS"
    },
@@ -2216,10 +2216,10 @@
    "execution_count": 24,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.355739Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.355551Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.361595Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.361143Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.512995Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.512569Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.518373Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.517831Z"
     },
     "id": "-uogYRWFYnuu"
    },
@@ -2273,10 +2273,10 @@
    "execution_count": 25,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.363428Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.363240Z",
-     "iopub.status.idle": "2024-02-07T22:15:27.581468Z",
-     "shell.execute_reply": "2024-02-07T22:15:27.580881Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.520271Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.520096Z",
+     "iopub.status.idle": "2024-02-07T23:55:58.734987Z",
+     "shell.execute_reply": "2024-02-07T23:55:58.734456Z"
     },
     "id": "pG-ljrmcYp9Q"
    },
@@ -2323,10 +2323,10 @@
    "execution_count": 26,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:27.583753Z",
-     "iopub.status.busy": "2024-02-07T22:15:27.583416Z",
-     "iopub.status.idle": "2024-02-07T22:15:28.654066Z",
-     "shell.execute_reply": "2024-02-07T22:15:28.653455Z"
+     "iopub.execute_input": "2024-02-07T23:55:58.737174Z",
+     "iopub.status.busy": "2024-02-07T23:55:58.736837Z",
+     "iopub.status.idle": "2024-02-07T23:55:59.819273Z",
+     "shell.execute_reply": "2024-02-07T23:55:59.818745Z"
     },
     "id": "wL3ngCnuLEWd"
    },
diff --git a/master/tutorials/multiannotator.ipynb b/master/tutorials/multiannotator.ipynb
index c986eebc5..faeef8745 100644
--- a/master/tutorials/multiannotator.ipynb
+++ b/master/tutorials/multiannotator.ipynb
@@ -89,10 +89,10 @@
    "id": "a3ddc95f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:32.145853Z",
-     "iopub.status.busy": "2024-02-07T22:15:32.145685Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.233957Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.233337Z"
+     "iopub.execute_input": "2024-02-07T23:56:03.103506Z",
+     "iopub.status.busy": "2024-02-07T23:56:03.103340Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.118950Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.118459Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:33.236597Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.236316Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.239477Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.238940Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.121683Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.121265Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.124434Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.123985Z"
     }
    },
    "outputs": [],
@@ -264,10 +264,10 @@
    "id": "c37c0a69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.241447Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.241135Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.248930Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.248387Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.126463Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.126136Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.133993Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.133459Z"
     },
     "nbsphinx": "hidden"
    },
@@ -351,10 +351,10 @@
    "id": "99f69523",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.250950Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.250645Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.298657Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.298050Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.136023Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.135616Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.188425Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.187883Z"
     }
    },
    "outputs": [],
@@ -380,10 +380,10 @@
    "id": "8f241c16",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.300978Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.300771Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.318345Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.317890Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.190556Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.190390Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.206810Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.206304Z"
     }
    },
    "outputs": [
@@ -598,10 +598,10 @@
    "id": "4f0819ba",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.320328Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.320023Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.323869Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.323430Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.208783Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.208482Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.212185Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.211662Z"
     }
    },
    "outputs": [
@@ -672,10 +672,10 @@
    "id": "d009f347",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.325943Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.325647Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.356671Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.356095Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.214215Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.213913Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.240502Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.240094Z"
     }
    },
    "outputs": [],
@@ -699,10 +699,10 @@
    "id": "cbd1e415",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.358903Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.358588Z",
-     "iopub.status.idle": "2024-02-07T22:15:33.385755Z",
-     "shell.execute_reply": "2024-02-07T22:15:33.385132Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.242411Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.242089Z",
+     "iopub.status.idle": "2024-02-07T23:56:04.268227Z",
+     "shell.execute_reply": "2024-02-07T23:56:04.267681Z"
     }
    },
    "outputs": [],
@@ -739,10 +739,10 @@
    "id": "6ca92617",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:33.388411Z",
-     "iopub.status.busy": "2024-02-07T22:15:33.388028Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.180954Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.180351Z"
+     "iopub.execute_input": "2024-02-07T23:56:04.270386Z",
+     "iopub.status.busy": "2024-02-07T23:56:04.270015Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.942630Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.942094Z"
     }
    },
    "outputs": [],
@@ -772,10 +772,10 @@
    "id": "bf945113",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.183842Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.183215Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.190451Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.190006Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.945098Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.944826Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.951226Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.950773Z"
     },
     "scrolled": true
    },
@@ -886,10 +886,10 @@
    "id": "14251ee0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.192648Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.192320Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.204677Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.204232Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.953087Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.952918Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.965050Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.964629Z"
     }
    },
    "outputs": [
@@ -1139,10 +1139,10 @@
    "id": "efe16638",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.206669Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.206301Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.212711Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.212172Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.966796Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.966628Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.972874Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.972451Z"
     },
     "scrolled": true
    },
@@ -1316,10 +1316,10 @@
    "id": "abd0fb0b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.214832Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.214512Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.217164Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.216725Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.974787Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.974479Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.977066Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.976629Z"
     }
    },
    "outputs": [],
@@ -1341,10 +1341,10 @@
    "id": "cdf061df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.219050Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.218733Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.222281Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.221820Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.978834Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.978668Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.982198Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.981653Z"
     },
     "scrolled": true
    },
@@ -1396,10 +1396,10 @@
    "id": "08949890",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.224316Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.224013Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.226604Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.226158Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.984156Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.983985Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.986977Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.986575Z"
     }
    },
    "outputs": [],
@@ -1423,10 +1423,10 @@
    "id": "6948b073",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.228645Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.228343Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.232335Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.231904Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.988801Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.988634Z",
+     "iopub.status.idle": "2024-02-07T23:56:05.992758Z",
+     "shell.execute_reply": "2024-02-07T23:56:05.992305Z"
     }
    },
    "outputs": [
@@ -1481,10 +1481,10 @@
    "id": "6f8e6914",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.234323Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.234016Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.263094Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.262539Z"
+     "iopub.execute_input": "2024-02-07T23:56:05.994760Z",
+     "iopub.status.busy": "2024-02-07T23:56:05.994455Z",
+     "iopub.status.idle": "2024-02-07T23:56:06.022507Z",
+     "shell.execute_reply": "2024-02-07T23:56:06.022052Z"
     }
    },
    "outputs": [],
@@ -1527,10 +1527,10 @@
    "id": "b806d2ea",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:35.265344Z",
-     "iopub.status.busy": "2024-02-07T22:15:35.264967Z",
-     "iopub.status.idle": "2024-02-07T22:15:35.269602Z",
-     "shell.execute_reply": "2024-02-07T22:15:35.269145Z"
+     "iopub.execute_input": "2024-02-07T23:56:06.024458Z",
+     "iopub.status.busy": "2024-02-07T23:56:06.024139Z",
+     "iopub.status.idle": "2024-02-07T23:56:06.028445Z",
+     "shell.execute_reply": "2024-02-07T23:56:06.028024Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/multilabel_classification.html b/master/tutorials/multilabel_classification.html
index f70b83f54..510f6d03c 100644
--- a/master/tutorials/multilabel_classification.html
+++ b/master/tutorials/multilabel_classification.html
@@ -576,15 +576,15 @@ 
Find Label Errors in Multi-Label Classification Datasetscopyrighted, advertisement, face, violence, nsfw]

 

 
Quickstart

-
cleanlab finds label issues based on two inputs: labels formatted as a list of lists of integer class indices that apply to each example in your dataset, and pred_probs from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find label issues in your multi-label dataset:

+
cleanlab finds data/label issues based on two inputs: labels formatted as a list of lists of integer class indices that apply to each example in your dataset, and pred_probs from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find issues in your multi-label dataset:

 
from cleanlab import Datalab
 
 # Assuming your dataset has a label column named 'label'
 lab = Datalab(dataset, label_name='label', task='multilabel')
+# To detect more issue types, optionally supply `features` (numeric dataset values or model embeddings of the data)
+lab.find_issues(pred_probs=pred_probs, features=features)
 
-lab.find_issues(pred_probs=pred_probs, issue_types={"label": {}})
-
-ranked_label_issues = lab.get_issues("label").sort_values("label_score")
+lab.report()
 

 

 

@@ -913,6 +913,8 @@ 
Label quality scores

 
+
While this tutorial focused on label issues, cleanlab’s Datalab object can automatically detect many other types of issues in your dataset (outliers, near duplicates, etc). Simply remove the issue_types argument from the above call to Datalab.find_issues() above and Datalab will more comprehensively audit your dataset. Refer to our Datalab quickstart tutorial to learn how to interpret the results (the interpretation remains mostly the same
+across different types of ML tasks).

 
 

 
How to format labels given as a one-hot (multi-hot) binary matrix?#

diff --git a/master/tutorials/multilabel_classification.ipynb b/master/tutorials/multilabel_classification.ipynb
index c6ef453c4..5e9a4d29e 100644
--- a/master/tutorials/multilabel_classification.ipynb
+++ b/master/tutorials/multilabel_classification.ipynb
@@ -19,7 +19,7 @@
     "Quickstart\n",
     "
\n",
     "    \n",
-    "cleanlab finds label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find label issues in your multi-label dataset:\n",
+    "cleanlab finds data/label issues based on two inputs: `labels` formatted as a list of lists of integer class indices that apply to each example in your dataset, and `pred_probs` from a trained multi-label classification model (which do not need to sum to 1 since the classes are not mutually exclusive). Once you have these, run the code below to find issues in your multi-label dataset:\n",
     "\n",
     "
  \n",
     "    \n",
@@ -28,10 +28,10 @@
     "\n",
     "# Assuming your dataset has a label column named 'label'\n",
     "lab = Datalab(dataset, label_name='label', task='multilabel')\n",
+    "# To detect more issue types, optionally supply `features` (numeric dataset values or model embeddings of the data)\n",
+    "lab.find_issues(pred_probs=pred_probs, features=features)\n",
     "\n",
-    "lab.find_issues(pred_probs=pred_probs, issue_types={\"label\": {}})\n",
-    "\n",
-    "ranked_label_issues = lab.get_issues(\"label\").sort_values(\"label_score\")\n",
+    "lab.report()\n",
     "```\n",
     "\n",
     "    \n",
@@ -64,10 +64,10 @@
    "id": "7383d024-8273-4039-bccd-aab3020d331f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:38.074145Z",
-     "iopub.status.busy": "2024-02-07T22:15:38.073970Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.203313Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.202712Z"
+     "iopub.execute_input": "2024-02-07T23:56:08.687266Z",
+     "iopub.status.busy": "2024-02-07T23:56:08.687100Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.754564Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.754027Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:39.205859Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.205596Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.414109Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.413479Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.757160Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.756746Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.946615Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.946097Z"
     }
    },
    "outputs": [],
@@ -268,10 +268,10 @@
    "id": "e8ff5c2f-bd52-44aa-b307-b2b634147c68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:39.416970Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.416561Z",
-     "iopub.status.idle": "2024-02-07T22:15:39.429574Z",
-     "shell.execute_reply": "2024-02-07T22:15:39.429157Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.949158Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.948714Z",
+     "iopub.status.idle": "2024-02-07T23:56:09.961413Z",
+     "shell.execute_reply": "2024-02-07T23:56:09.960973Z"
     },
     "nbsphinx": "hidden"
    },
@@ -407,10 +407,10 @@
    "id": "dac65d3b-51e8-4682-b829-beab610b56d6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:39.431695Z",
-     "iopub.status.busy": "2024-02-07T22:15:39.431290Z",
-     "iopub.status.idle": "2024-02-07T22:15:42.066450Z",
-     "shell.execute_reply": "2024-02-07T22:15:42.065835Z"
+     "iopub.execute_input": "2024-02-07T23:56:09.963377Z",
+     "iopub.status.busy": "2024-02-07T23:56:09.963052Z",
+     "iopub.status.idle": "2024-02-07T23:56:12.619380Z",
+     "shell.execute_reply": "2024-02-07T23:56:12.618822Z"
     }
    },
    "outputs": [
@@ -452,10 +452,10 @@
    "id": "b5fa99a9-2583-4cd0-9d40-015f698cdb23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:42.068923Z",
-     "iopub.status.busy": "2024-02-07T22:15:42.068564Z",
-     "iopub.status.idle": "2024-02-07T22:15:43.411615Z",
-     "shell.execute_reply": "2024-02-07T22:15:43.411041Z"
+     "iopub.execute_input": "2024-02-07T23:56:12.621613Z",
+     "iopub.status.busy": "2024-02-07T23:56:12.621277Z",
+     "iopub.status.idle": "2024-02-07T23:56:13.971194Z",
+     "shell.execute_reply": "2024-02-07T23:56:13.970652Z"
     }
    },
    "outputs": [],
@@ -497,10 +497,10 @@
    "id": "ac1a60df",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:43.414000Z",
-     "iopub.status.busy": "2024-02-07T22:15:43.413818Z",
-     "iopub.status.idle": "2024-02-07T22:15:43.417446Z",
-     "shell.execute_reply": "2024-02-07T22:15:43.416934Z"
+     "iopub.execute_input": "2024-02-07T23:56:13.973499Z",
+     "iopub.status.busy": "2024-02-07T23:56:13.973162Z",
+     "iopub.status.idle": "2024-02-07T23:56:13.977165Z",
+     "shell.execute_reply": "2024-02-07T23:56:13.976701Z"
     }
    },
    "outputs": [
@@ -542,10 +542,10 @@
    "id": "d09115b6-ad44-474f-9c8a-85a459586439",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:43.419309Z",
-     "iopub.status.busy": "2024-02-07T22:15:43.419135Z",
-     "iopub.status.idle": "2024-02-07T22:15:45.207494Z",
-     "shell.execute_reply": "2024-02-07T22:15:45.206816Z"
+     "iopub.execute_input": "2024-02-07T23:56:13.979194Z",
+     "iopub.status.busy": "2024-02-07T23:56:13.978885Z",
+     "iopub.status.idle": "2024-02-07T23:56:15.657571Z",
+     "shell.execute_reply": "2024-02-07T23:56:15.657005Z"
     }
    },
    "outputs": [
@@ -592,10 +592,10 @@
    "id": "c18dd83b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:45.210051Z",
-     "iopub.status.busy": "2024-02-07T22:15:45.209488Z",
-     "iopub.status.idle": "2024-02-07T22:15:45.217636Z",
-     "shell.execute_reply": "2024-02-07T22:15:45.217158Z"
+     "iopub.execute_input": "2024-02-07T23:56:15.660326Z",
+     "iopub.status.busy": "2024-02-07T23:56:15.659641Z",
+     "iopub.status.idle": "2024-02-07T23:56:15.667026Z",
+     "shell.execute_reply": "2024-02-07T23:56:15.666496Z"
     }
    },
    "outputs": [
@@ -631,10 +631,10 @@
    "id": "fffa88f6-84d7-45fe-8214-0e22079a06d1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:45.219651Z",
-     "iopub.status.busy": "2024-02-07T22:15:45.219310Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.808437Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.807942Z"
+     "iopub.execute_input": "2024-02-07T23:56:15.669181Z",
+     "iopub.status.busy": "2024-02-07T23:56:15.668872Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.270814Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.270242Z"
     }
    },
    "outputs": [
@@ -669,10 +669,10 @@
    "id": "c1198575",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.810738Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.810301Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.813993Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.813455Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.273199Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.272850Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.276268Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.275699Z"
     }
    },
    "outputs": [
@@ -691,6 +691,16 @@
     "print(f\"Label quality scores of the first 10 examples in dataset:\\n{scores[:10]}\")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d6",
+   "metadata": {},
+   "source": [
+    "While this tutorial focused on label issues, cleanlab's `Datalab` object can automatically detect many other types of issues in your dataset (outliers, near duplicates, etc).\n",
+    "Simply remove the `issue_types` argument from the above call to `Datalab.find_issues()` above and `Datalab` will more comprehensively audit your dataset.\n",
+    "Refer to our [Datalab quickstart tutorial](./datalab/datalab_quickstart.html) to learn how to interpret the results (the interpretation remains mostly the same across different types of ML tasks)."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "d65af827-aeda-4b6b-9ae7-b1f0b84700d5",
@@ -707,10 +717,10 @@
    "id": "49161b19-7625-4fb7-add9-607d91a7eca1",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.815974Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.815684Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.819808Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.819250Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.278300Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.277998Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.282388Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.281980Z"
     }
    },
    "outputs": [],
@@ -733,10 +743,10 @@
    "id": "d1a2c008",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:47.821661Z",
-     "iopub.status.busy": "2024-02-07T22:15:47.821392Z",
-     "iopub.status.idle": "2024-02-07T22:15:47.824553Z",
-     "shell.execute_reply": "2024-02-07T22:15:47.824004Z"
+     "iopub.execute_input": "2024-02-07T23:56:18.284367Z",
+     "iopub.status.busy": "2024-02-07T23:56:18.284047Z",
+     "iopub.status.idle": "2024-02-07T23:56:18.286987Z",
+     "shell.execute_reply": "2024-02-07T23:56:18.286563Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/object_detection.ipynb b/master/tutorials/object_detection.ipynb
index bd98ee443..74d92a714 100644
--- a/master/tutorials/object_detection.ipynb
+++ b/master/tutorials/object_detection.ipynb
@@ -70,10 +70,10 @@
    "id": "0ba0dc70",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:50.447928Z",
-     "iopub.status.busy": "2024-02-07T22:15:50.447758Z",
-     "iopub.status.idle": "2024-02-07T22:15:51.564104Z",
-     "shell.execute_reply": "2024-02-07T22:15:51.563498Z"
+     "iopub.execute_input": "2024-02-07T23:56:20.562684Z",
+     "iopub.status.busy": "2024-02-07T23:56:20.562520Z",
+     "iopub.status.idle": "2024-02-07T23:56:21.638239Z",
+     "shell.execute_reply": "2024-02-07T23:56:21.637675Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:15:51.566518Z",
-     "iopub.status.busy": "2024-02-07T22:15:51.566240Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.801961Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.801317Z"
+     "iopub.execute_input": "2024-02-07T23:56:21.640925Z",
+     "iopub.status.busy": "2024-02-07T23:56:21.640505Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.688443Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.687829Z"
     }
    },
    "outputs": [],
@@ -130,10 +130,10 @@
    "id": "df8be4c6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.804419Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.804219Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.807410Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.806937Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.690921Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.690540Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.693716Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.693271Z"
     }
    },
    "outputs": [],
@@ -165,10 +165,10 @@
    "id": "2e9ffd6f",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.809336Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.809039Z",
-     "iopub.status.idle": "2024-02-07T22:15:52.815182Z",
-     "shell.execute_reply": "2024-02-07T22:15:52.814647Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.695625Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.695302Z",
+     "iopub.status.idle": "2024-02-07T23:56:22.701268Z",
+     "shell.execute_reply": "2024-02-07T23:56:22.700863Z"
     }
    },
    "outputs": [],
@@ -194,10 +194,10 @@
    "id": "56705562",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:52.817367Z",
-     "iopub.status.busy": "2024-02-07T22:15:52.816989Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.308064Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.307480Z"
+     "iopub.execute_input": "2024-02-07T23:56:22.703196Z",
+     "iopub.status.busy": "2024-02-07T23:56:22.702938Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.186186Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.185652Z"
     },
     "scrolled": true
    },
@@ -238,10 +238,10 @@
    "id": "b08144d7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.310939Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.310566Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.315939Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.315394Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.188813Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.188488Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.193539Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.193126Z"
     }
    },
    "outputs": [
@@ -493,10 +493,10 @@
    "id": "3d70bec6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.317995Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.317689Z",
-     "iopub.status.idle": "2024-02-07T22:15:53.321394Z",
-     "shell.execute_reply": "2024-02-07T22:15:53.320912Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.195528Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.195222Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.199084Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.198542Z"
     }
    },
    "outputs": [
@@ -553,10 +553,10 @@
    "id": "4caa635d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:53.323449Z",
-     "iopub.status.busy": "2024-02-07T22:15:53.323111Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.015545Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.014869Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.201119Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.200823Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.836419Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.835758Z"
     }
    },
    "outputs": [
@@ -612,10 +612,10 @@
    "id": "a9b4c590",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.018097Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.017708Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.187878Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.187411Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.838728Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.838526Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.988464Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.988047Z"
     }
    },
    "outputs": [
@@ -656,10 +656,10 @@
    "id": "ffd9ebcc",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.189935Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.189745Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.194222Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.193779Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.990471Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.990165Z",
+     "iopub.status.idle": "2024-02-07T23:56:23.994186Z",
+     "shell.execute_reply": "2024-02-07T23:56:23.993763Z"
     }
    },
    "outputs": [
@@ -696,10 +696,10 @@
    "id": "4dd46d67",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.196260Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.195894Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.649689Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.649109Z"
+     "iopub.execute_input": "2024-02-07T23:56:23.996117Z",
+     "iopub.status.busy": "2024-02-07T23:56:23.995822Z",
+     "iopub.status.idle": "2024-02-07T23:56:24.434799Z",
+     "shell.execute_reply": "2024-02-07T23:56:24.434220Z"
     }
    },
    "outputs": [
@@ -758,10 +758,10 @@
    "id": "ceec2394",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.652534Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.652158Z",
-     "iopub.status.idle": "2024-02-07T22:15:54.984855Z",
-     "shell.execute_reply": "2024-02-07T22:15:54.984298Z"
+     "iopub.execute_input": "2024-02-07T23:56:24.437281Z",
+     "iopub.status.busy": "2024-02-07T23:56:24.436886Z",
+     "iopub.status.idle": "2024-02-07T23:56:24.768783Z",
+     "shell.execute_reply": "2024-02-07T23:56:24.768200Z"
     }
    },
    "outputs": [
@@ -808,10 +808,10 @@
    "id": "94f82b0d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:54.987521Z",
-     "iopub.status.busy": "2024-02-07T22:15:54.987189Z",
-     "iopub.status.idle": "2024-02-07T22:15:55.470495Z",
-     "shell.execute_reply": "2024-02-07T22:15:55.469879Z"
+     "iopub.execute_input": "2024-02-07T23:56:24.771064Z",
+     "iopub.status.busy": "2024-02-07T23:56:24.770889Z",
+     "iopub.status.idle": "2024-02-07T23:56:25.250367Z",
+     "shell.execute_reply": "2024-02-07T23:56:25.249843Z"
     }
    },
    "outputs": [
@@ -858,10 +858,10 @@
    "id": "1ea18c5d",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:55.475223Z",
-     "iopub.status.busy": "2024-02-07T22:15:55.474845Z",
-     "iopub.status.idle": "2024-02-07T22:15:55.916362Z",
-     "shell.execute_reply": "2024-02-07T22:15:55.915780Z"
+     "iopub.execute_input": "2024-02-07T23:56:25.254651Z",
+     "iopub.status.busy": "2024-02-07T23:56:25.254288Z",
+     "iopub.status.idle": "2024-02-07T23:56:25.662812Z",
+     "shell.execute_reply": "2024-02-07T23:56:25.662264Z"
     }
    },
    "outputs": [
@@ -921,10 +921,10 @@
    "id": "7e770d23",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:55.920172Z",
-     "iopub.status.busy": "2024-02-07T22:15:55.919985Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.369242Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.368651Z"
+     "iopub.execute_input": "2024-02-07T23:56:25.666313Z",
+     "iopub.status.busy": "2024-02-07T23:56:25.665961Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.090422Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.089821Z"
     }
    },
    "outputs": [
@@ -967,10 +967,10 @@
    "id": "57e84a27",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.372426Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.372048Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.587116Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.586546Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.093719Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.093346Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.281170Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.280571Z"
     }
    },
    "outputs": [
@@ -1013,10 +1013,10 @@
    "id": "0302818a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.589448Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.589113Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.788433Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.787907Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.283283Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.283103Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.463218Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.462690Z"
     }
    },
    "outputs": [
@@ -1051,10 +1051,10 @@
    "id": "8ce74938",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:56.790786Z",
-     "iopub.status.busy": "2024-02-07T22:15:56.790442Z",
-     "iopub.status.idle": "2024-02-07T22:15:56.793953Z",
-     "shell.execute_reply": "2024-02-07T22:15:56.793508Z"
+     "iopub.execute_input": "2024-02-07T23:56:26.465892Z",
+     "iopub.status.busy": "2024-02-07T23:56:26.465487Z",
+     "iopub.status.idle": "2024-02-07T23:56:26.468734Z",
+     "shell.execute_reply": "2024-02-07T23:56:26.468320Z"
     },
     "nbsphinx": "hidden"
    },
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@@ -1532,7 +1298,7 @@ 
3. Use cleanlab and feature embeddings to find outliers in the data
 

 

-

+
 
 

 

@@ -1753,7 +1519,7 @@ 
4. Use cleanlab and here.

 

 
  
diff --git a/master/tutorials/outliers.ipynb b/master/tutorials/outliers.ipynb
index a17f8d98c..216232f6b 100644
--- a/master/tutorials/outliers.ipynb
+++ b/master/tutorials/outliers.ipynb
@@ -109,10 +109,10 @@
    "id": "2bbebfc8",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:15:59.020657Z",
-     "iopub.status.busy": "2024-02-07T22:15:59.020490Z",
-     "iopub.status.idle": "2024-02-07T22:16:01.758945Z",
-     "shell.execute_reply": "2024-02-07T22:16:01.758382Z"
+     "iopub.execute_input": "2024-02-07T23:56:28.439526Z",
+     "iopub.status.busy": "2024-02-07T23:56:28.439052Z",
+     "iopub.status.idle": "2024-02-07T23:56:31.054002Z",
+     "shell.execute_reply": "2024-02-07T23:56:31.053462Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:16:01.761638Z",
-     "iopub.status.busy": "2024-02-07T22:16:01.761143Z",
-     "iopub.status.idle": "2024-02-07T22:16:02.096462Z",
-     "shell.execute_reply": "2024-02-07T22:16:02.095807Z"
+     "iopub.execute_input": "2024-02-07T23:56:31.056612Z",
+     "iopub.status.busy": "2024-02-07T23:56:31.056130Z",
+     "iopub.status.idle": "2024-02-07T23:56:31.365716Z",
+     "shell.execute_reply": "2024-02-07T23:56:31.365105Z"
     }
    },
    "outputs": [],
@@ -188,10 +188,10 @@
    "id": "3792f82e",
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@@ -225,10 +225,10 @@
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@@ -252,7 +252,7 @@
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@@ -570,10 +498,10 @@
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@@ -624,10 +552,10 @@
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@@ -660,10 +588,10 @@
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@@ -701,10 +629,10 @@
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@@ -727,17 +655,17 @@
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@@ -796,10 +724,10 @@
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@@ -843,10 +771,10 @@
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@@ -882,10 +810,10 @@
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@@ -935,10 +863,10 @@
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@@ -986,10 +914,10 @@
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@@ -1045,10 +973,10 @@
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@@ -1069,10 +997,10 @@
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@@ -1109,10 +1037,10 @@
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@@ -1143,10 +1071,10 @@
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@@ -1160,10 +1088,10 @@
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@@ -1185,10 +1113,10 @@
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diff --git a/master/tutorials/regression.ipynb b/master/tutorials/regression.ipynb
index 6460b1da7..f14378353 100644
--- a/master/tutorials/regression.ipynb
+++ b/master/tutorials/regression.ipynb
@@ -94,10 +94,10 @@
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-     "shell.execute_reply": "2024-02-07T22:16:42.112677Z"
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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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = \" \".join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
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@@ -135,10 +135,10 @@
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@@ -157,10 +157,10 @@
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@@ -191,10 +191,10 @@
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@@ -367,10 +367,10 @@
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+     "iopub.execute_input": "2024-02-07T23:57:10.157365Z",
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@@ -410,10 +410,10 @@
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@@ -449,10 +449,10 @@
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@@ -470,10 +470,10 @@
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@@ -520,10 +520,10 @@
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@@ -538,10 +538,10 @@
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@@ -565,10 +565,10 @@
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@@ -671,10 +671,10 @@
    "id": "f7385336",
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@@ -689,10 +689,10 @@
    "id": "59fc3091",
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-     "shell.execute_reply": "2024-02-07T22:16:50.838260Z"
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     }
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@@ -727,10 +727,10 @@
    "id": "00949977",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.840784Z",
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-     "shell.execute_reply": "2024-02-07T22:16:50.843001Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.618875Z",
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+     "shell.execute_reply": "2024-02-07T23:57:18.621156Z"
     }
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    "outputs": [],
@@ -749,10 +749,10 @@
    "id": "b6c1ae3a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.845383Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.845063Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.852852Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.852402Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.623300Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.623130Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.631019Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.630588Z"
     }
    },
    "outputs": [
@@ -894,10 +894,10 @@
    "id": "31c704e7",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.854861Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.854539Z",
-     "iopub.status.idle": "2024-02-07T22:16:50.974215Z",
-     "shell.execute_reply": "2024-02-07T22:16:50.973641Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.632839Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.632669Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.751110Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.750652Z"
     }
    },
    "outputs": [
@@ -936,10 +936,10 @@
    "id": "0bcc43db",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:50.976792Z",
-     "iopub.status.busy": "2024-02-07T22:16:50.976387Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.083738Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.083123Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.753135Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.752961Z",
+     "iopub.status.idle": "2024-02-07T23:57:18.854301Z",
+     "shell.execute_reply": "2024-02-07T23:57:18.853737Z"
     }
    },
    "outputs": [
@@ -995,10 +995,10 @@
    "id": "7021bd68",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.086417Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.085958Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.565882Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.565259Z"
+     "iopub.execute_input": "2024-02-07T23:57:18.856714Z",
+     "iopub.status.busy": "2024-02-07T23:57:18.856277Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.344066Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.343446Z"
     }
    },
    "outputs": [],
@@ -1014,10 +1014,10 @@
    "id": "d49c990b",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.568859Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.568362Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.646362Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.645818Z"
+     "iopub.execute_input": "2024-02-07T23:57:19.346737Z",
+     "iopub.status.busy": "2024-02-07T23:57:19.346338Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.423350Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.422787Z"
     }
    },
    "outputs": [
@@ -1055,10 +1055,10 @@
    "id": "95531cda",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:16:51.648680Z",
-     "iopub.status.busy": "2024-02-07T22:16:51.648305Z",
-     "iopub.status.idle": "2024-02-07T22:16:51.658253Z",
-     "shell.execute_reply": "2024-02-07T22:16:51.657843Z"
+     "iopub.execute_input": "2024-02-07T23:57:19.425650Z",
+     "iopub.status.busy": "2024-02-07T23:57:19.425311Z",
+     "iopub.status.idle": "2024-02-07T23:57:19.434732Z",
+     "shell.execute_reply": "2024-02-07T23:57:19.434279Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/segmentation.html b/master/tutorials/segmentation.html
index 28d27fdf0..725a1c9fc 100644
--- a/master/tutorials/segmentation.html
+++ b/master/tutorials/segmentation.html
@@ -715,13 +715,13 @@ 
3. Use cleanlab to find label issues
 
 

-

+
 
 

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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Classes which are commonly mislabeled overall

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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end{sphinxVerbatim}

 

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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</pre>

 

 

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

 

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diff --git a/master/tutorials/segmentation.ipynb b/master/tutorials/segmentation.ipynb
index 2278816b2..979c7e3be 100644
--- a/master/tutorials/segmentation.ipynb
+++ b/master/tutorials/segmentation.ipynb
@@ -61,10 +61,10 @@
    "id": "ae8a08e0",
    "metadata": {
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-     "iopub.status.busy": "2024-02-07T22:16:54.759059Z",
-     "iopub.status.idle": "2024-02-07T22:16:56.709104Z",
-     "shell.execute_reply": "2024-02-07T22:16:56.708365Z"
+     "iopub.execute_input": "2024-02-07T23:57:22.267015Z",
+     "iopub.status.busy": "2024-02-07T23:57:22.266847Z",
+     "iopub.status.idle": "2024-02-07T23:57:23.557742Z",
+     "shell.execute_reply": "2024-02-07T23:57:23.557100Z"
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@@ -79,10 +79,10 @@
    "id": "58fd4c55",
    "metadata": {
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-     "iopub.execute_input": "2024-02-07T22:16:56.711689Z",
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-     "iopub.status.idle": "2024-02-07T22:17:51.576173Z",
-     "shell.execute_reply": "2024-02-07T22:17:51.575514Z"
+     "iopub.execute_input": "2024-02-07T23:57:23.560412Z",
+     "iopub.status.busy": "2024-02-07T23:57:23.560029Z",
+     "iopub.status.idle": "2024-02-07T23:58:14.095094Z",
+     "shell.execute_reply": "2024-02-07T23:58:14.094451Z"
     }
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    "outputs": [],
@@ -97,10 +97,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:17:51.578880Z",
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-     "iopub.status.idle": "2024-02-07T22:17:52.624888Z",
-     "shell.execute_reply": "2024-02-07T22:17:52.624282Z"
+     "iopub.execute_input": "2024-02-07T23:58:14.097742Z",
+     "iopub.status.busy": "2024-02-07T23:58:14.097332Z",
+     "iopub.status.idle": "2024-02-07T23:58:15.117655Z",
+     "shell.execute_reply": "2024-02-07T23:58:15.117170Z"
     },
     "nbsphinx": "hidden"
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@@ -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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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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-     "shell.execute_reply": "2024-02-07T22:17:52.629875Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.120117Z",
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+     "shell.execute_reply": "2024-02-07T23:58:15.122391Z"
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@@ -203,10 +203,10 @@
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-     "shell.execute_reply": "2024-02-07T22:17:52.635445Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.125002Z",
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+     "shell.execute_reply": "2024-02-07T23:58:15.127995Z"
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@@ -247,10 +247,10 @@
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-     "shell.execute_reply": "2024-02-07T22:17:52.640595Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.130385Z",
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@@ -290,10 +290,10 @@
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+     "iopub.execute_input": "2024-02-07T23:58:15.135489Z",
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@@ -333,17 +333,17 @@
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-     "shell.execute_reply": "2024-02-07T22:19:07.735682Z"
+     "iopub.execute_input": "2024-02-07T23:58:15.139805Z",
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@@ -357,7 +357,7 @@
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@@ -400,10 +400,10 @@
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@@ -446,10 +446,10 @@
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@@ -519,10 +519,10 @@
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+     "shell.execute_reply": "2024-02-08T00:00:06.382396Z"
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@@ -539,7 +539,7 @@
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+      "  0%|          | 15387/4997817 [00:00<00:32, 153859.88it/s]"
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@@ -547,7 +547,7 @@
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@@ -3379,10 +3379,10 @@
    "id": "716c74f3",
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@@ -3451,17 +3451,17 @@
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@@ -3491,10 +3491,10 @@
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diff --git a/master/tutorials/tabular.ipynb b/master/tutorials/tabular.ipynb
index 12339b227..76a108569 100644
--- a/master/tutorials/tabular.ipynb
+++ b/master/tutorials/tabular.ipynb
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-    "    %pip install git+https://github.com/cleanlab/cleanlab.git@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
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-     "shell.execute_reply": "2024-02-07T22:20:16.267865Z"
+     "iopub.execute_input": "2024-02-08T00:00:37.854671Z",
+     "iopub.status.busy": "2024-02-08T00:00:37.854370Z",
+     "iopub.status.idle": "2024-02-08T00:00:38.366943Z",
+     "shell.execute_reply": "2024-02-08T00:00:38.366411Z"
     }
    },
    "outputs": [],
@@ -445,10 +445,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:16.270985Z",
-     "iopub.status.busy": "2024-02-07T22:20:16.270796Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.950965Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.950223Z"
+     "iopub.execute_input": "2024-02-08T00:00:38.369355Z",
+     "iopub.status.busy": "2024-02-08T00:00:38.369010Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.953418Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.952805Z"
     }
    },
    "outputs": [
@@ -480,10 +480,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.953912Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.953172Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.963171Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.962746Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.956230Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.955488Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.965485Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.965052Z"
     }
    },
    "outputs": [
@@ -604,10 +604,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.965362Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.965053Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.968689Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.968259Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.967556Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.967205Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.970941Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.970507Z"
     }
    },
    "outputs": [],
@@ -632,10 +632,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.970666Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.970397Z",
-     "iopub.status.idle": "2024-02-07T22:20:17.977942Z",
-     "shell.execute_reply": "2024-02-07T22:20:17.977363Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.972919Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.972669Z",
+     "iopub.status.idle": "2024-02-08T00:00:39.979374Z",
+     "shell.execute_reply": "2024-02-08T00:00:39.978962Z"
     }
    },
    "outputs": [],
@@ -657,10 +657,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:17.979985Z",
-     "iopub.status.busy": "2024-02-07T22:20:17.979656Z",
-     "iopub.status.idle": "2024-02-07T22:20:18.091893Z",
-     "shell.execute_reply": "2024-02-07T22:20:18.091396Z"
+     "iopub.execute_input": "2024-02-08T00:00:39.981265Z",
+     "iopub.status.busy": "2024-02-08T00:00:39.980978Z",
+     "iopub.status.idle": "2024-02-08T00:00:40.092266Z",
+     "shell.execute_reply": "2024-02-08T00:00:40.091698Z"
     }
    },
    "outputs": [
@@ -690,10 +690,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:18.094062Z",
-     "iopub.status.busy": "2024-02-07T22:20:18.093720Z",
-     "iopub.status.idle": "2024-02-07T22:20:18.096596Z",
-     "shell.execute_reply": "2024-02-07T22:20:18.096144Z"
+     "iopub.execute_input": "2024-02-08T00:00:40.094466Z",
+     "iopub.status.busy": "2024-02-08T00:00:40.094078Z",
+     "iopub.status.idle": "2024-02-08T00:00:40.096691Z",
+     "shell.execute_reply": "2024-02-08T00:00:40.096261Z"
     }
    },
    "outputs": [],
@@ -714,10 +714,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:18.098529Z",
-     "iopub.status.busy": "2024-02-07T22:20:18.098202Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.077737Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.077090Z"
+     "iopub.execute_input": "2024-02-08T00:00:40.098593Z",
+     "iopub.status.busy": "2024-02-08T00:00:40.098420Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.020458Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.019691Z"
     }
    },
    "outputs": [],
@@ -737,10 +737,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:20.080833Z",
-     "iopub.status.busy": "2024-02-07T22:20:20.080047Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.091704Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.091118Z"
+     "iopub.execute_input": "2024-02-08T00:00:42.023533Z",
+     "iopub.status.busy": "2024-02-08T00:00:42.022782Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.033585Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.033121Z"
     }
    },
    "outputs": [
@@ -770,10 +770,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:20.093925Z",
-     "iopub.status.busy": "2024-02-07T22:20:20.093490Z",
-     "iopub.status.idle": "2024-02-07T22:20:20.122307Z",
-     "shell.execute_reply": "2024-02-07T22:20:20.121770Z"
+     "iopub.execute_input": "2024-02-08T00:00:42.035536Z",
+     "iopub.status.busy": "2024-02-08T00:00:42.035222Z",
+     "iopub.status.idle": "2024-02-08T00:00:42.066169Z",
+     "shell.execute_reply": "2024-02-08T00:00:42.065646Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/text.html b/master/tutorials/text.html
index 470a89510..fcedc0e44 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', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'visa_or_mastercard', 'beneficiary_not_allowed', 'getting_spare_card'}
+Classes: {'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'getting_spare_card', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_about_to_expire', 'cancel_transfer', 'card_payment_fee_charged', 'change_pin', 'visa_or_mastercard'}
 

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

diff --git a/master/tutorials/text.ipynb b/master/tutorials/text.ipynb
index 14b0188fb..a33793a5f 100644
--- a/master/tutorials/text.ipynb
+++ b/master/tutorials/text.ipynb
@@ -114,10 +114,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:23.034108Z",
-     "iopub.status.busy": "2024-02-07T22:20:23.033949Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.644096Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.643492Z"
+     "iopub.execute_input": "2024-02-08T00:00:44.559964Z",
+     "iopub.status.busy": "2024-02-08T00:00:44.559768Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.083313Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.082784Z"
     },
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\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": "2024-02-07T22:20:25.646761Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.646232Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.649662Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.649125Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.085963Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.085456Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.088646Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.088220Z"
     }
    },
    "outputs": [],
@@ -184,10 +184,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.651772Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.651399Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.654323Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.653903Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.090601Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.090279Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.093338Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.092797Z"
     },
     "nbsphinx": "hidden"
    },
@@ -218,10 +218,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.656427Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.656112Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.696715Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.696251Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.095320Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.095018Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.117162Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.116660Z"
     }
    },
    "outputs": [
@@ -311,10 +311,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.698892Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.698436Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.701940Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.701520Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.119103Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.118781Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.122228Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.121782Z"
     }
    },
    "outputs": [],
@@ -329,10 +329,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.703894Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.703566Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.706909Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.706467Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.124229Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.123895Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.127280Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.126831Z"
     }
    },
    "outputs": [
@@ -341,7 +341,7 @@
      "output_type": "stream",
      "text": [
       "This dataset has 10 classes.\n",
-      "Classes: {'change_pin', 'card_about_to_expire', 'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'card_payment_fee_charged', 'cancel_transfer', 'lost_or_stolen_phone', 'visa_or_mastercard', 'beneficiary_not_allowed', 'getting_spare_card'}\n"
+      "Classes: {'apple_pay_or_google_pay', 'supported_cards_and_currencies', 'getting_spare_card', 'lost_or_stolen_phone', 'beneficiary_not_allowed', 'card_about_to_expire', 'cancel_transfer', 'card_payment_fee_charged', 'change_pin', 'visa_or_mastercard'}\n"
      ]
     }
    ],
@@ -364,10 +364,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.708983Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.708666Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.711641Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.711082Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.129237Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.128922Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.132004Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.131534Z"
     }
    },
    "outputs": [
@@ -408,10 +408,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.713626Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.713301Z",
-     "iopub.status.idle": "2024-02-07T22:20:25.716436Z",
-     "shell.execute_reply": "2024-02-07T22:20:25.716011Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.133964Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.133652Z",
+     "iopub.status.idle": "2024-02-08T00:00:47.136698Z",
+     "shell.execute_reply": "2024-02-08T00:00:47.136289Z"
     }
    },
    "outputs": [],
@@ -452,10 +452,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:25.718429Z",
-     "iopub.status.busy": "2024-02-07T22:20:25.718116Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.429090Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.428554Z"
+     "iopub.execute_input": "2024-02-08T00:00:47.138634Z",
+     "iopub.status.busy": "2024-02-08T00:00:47.138333Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.729967Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.729315Z"
     }
    },
    "outputs": [
@@ -510,10 +510,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.431649Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.431416Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.434206Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.433681Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.732784Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.732432Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.735259Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.734700Z"
     }
    },
    "outputs": [],
@@ -535,10 +535,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.436191Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.435874Z",
-     "iopub.status.idle": "2024-02-07T22:20:29.438880Z",
-     "shell.execute_reply": "2024-02-07T22:20:29.438478Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.737214Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.736909Z",
+     "iopub.status.idle": "2024-02-08T00:00:50.739581Z",
+     "shell.execute_reply": "2024-02-08T00:00:50.739056Z"
     }
    },
    "outputs": [],
@@ -553,10 +553,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:29.440688Z",
-     "iopub.status.busy": "2024-02-07T22:20:29.440515Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.731024Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.730409Z"
+     "iopub.execute_input": "2024-02-08T00:00:50.741554Z",
+     "iopub.status.busy": "2024-02-08T00:00:50.741265Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.955848Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.955096Z"
     },
     "scrolled": true
    },
@@ -579,10 +579,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.733921Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.733231Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.740520Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.740077Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.958573Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.958020Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.965371Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.964862Z"
     }
    },
    "outputs": [
@@ -683,10 +683,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.742564Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.742256Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.745803Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.745375Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.967398Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.967027Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.970968Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.970539Z"
     }
    },
    "outputs": [],
@@ -700,10 +700,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.747786Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.747469Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.750335Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.749834Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.972799Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.972623Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.975944Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.975459Z"
     }
    },
    "outputs": [
@@ -738,10 +738,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.752406Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.752088Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.754796Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.754356Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.978048Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.977628Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.980927Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.980389Z"
     }
    },
    "outputs": [],
@@ -761,10 +761,10 @@
    "execution_count": 17,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.756820Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.756510Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.763078Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.762532Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.983081Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.982752Z",
+     "iopub.status.idle": "2024-02-08T00:00:52.989594Z",
+     "shell.execute_reply": "2024-02-08T00:00:52.989175Z"
     }
    },
    "outputs": [
@@ -889,10 +889,10 @@
    "execution_count": 18,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.765349Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.764941Z",
-     "iopub.status.idle": "2024-02-07T22:20:31.990470Z",
-     "shell.execute_reply": "2024-02-07T22:20:31.989930Z"
+     "iopub.execute_input": "2024-02-08T00:00:52.991604Z",
+     "iopub.status.busy": "2024-02-08T00:00:52.991288Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.215514Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.214999Z"
     },
     "scrolled": true
    },
@@ -931,10 +931,10 @@
    "execution_count": 19,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:31.993806Z",
-     "iopub.status.busy": "2024-02-07T22:20:31.992872Z",
-     "iopub.status.idle": "2024-02-07T22:20:32.169989Z",
-     "shell.execute_reply": "2024-02-07T22:20:32.169440Z"
+     "iopub.execute_input": "2024-02-08T00:00:53.217866Z",
+     "iopub.status.busy": "2024-02-08T00:00:53.217475Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.396736Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.396217Z"
     },
     "scrolled": true
    },
@@ -967,10 +967,10 @@
    "execution_count": 20,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:32.173948Z",
-     "iopub.status.busy": "2024-02-07T22:20:32.172981Z",
-     "iopub.status.idle": "2024-02-07T22:20:32.177939Z",
-     "shell.execute_reply": "2024-02-07T22:20:32.177455Z"
+     "iopub.execute_input": "2024-02-08T00:00:53.399160Z",
+     "iopub.status.busy": "2024-02-08T00:00:53.398767Z",
+     "iopub.status.idle": "2024-02-08T00:00:53.402668Z",
+     "shell.execute_reply": "2024-02-08T00:00:53.402187Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/master/tutorials/token_classification.html b/master/tutorials/token_classification.html
index 3bda41f5c..6cb14cff1 100644
--- a/master/tutorials/token_classification.html
+++ b/master/tutorials/token_classification.html
@@ -625,7 +625,7 @@ 
1. Install required dependencies and download data
 

 
---2024-02-07 22:20:35--  https://data.deepai.org/conll2003.zip
+--2024-02-08 00:00:56--  https://data.deepai.org/conll2003.zip
 Resolving data.deepai.org (data.deepai.org)...
 

 
@@ -634,8 +634,8 @@ 
1. Install required dependencies and download data
 

 
-185.93.1.249, 2400:52e0:1a00::845:1
-Connecting to data.deepai.org (data.deepai.org)|185.93.1.249|:443... connected.
+169.150.236.100, 2400:52e0:1a00::1069:1
+Connecting to data.deepai.org (data.deepai.org)|169.150.236.100|:443... connected.
 

 
 

@@ -672,25 +672,25 @@ 
1. Install required dependencies and download data
 

 
-
conll2003.zip       100%[===================&gt;] 959.94K  5.80MB/s    in 0.2s

+
conll2003.zip       100%[===================&gt;] 959.94K  –.-KB/s    in 0.1s

 

 

-
2024-02-07 22:20:35 (5.80 MB/s) - ‘conll2003.zip’ saved [982975/982975]

+
2024-02-08 00:00:56 (6.83 MB/s) - ‘conll2003.zip’ saved [982975/982975]

 
mkdir: cannot create directory ‘data’: File exists
 </pre>

 

 

-
conll2003.zip       100%[===================>] 959.94K  5.80MB/s    in 0.2s

+
conll2003.zip       100%[===================>] 959.94K  –.-KB/s    in 0.1s

 

 

-
2024-02-07 22:20:35 (5.80 MB/s) - ‘conll2003.zip’ saved [982975/982975]

+
2024-02-08 00:00:56 (6.83 MB/s) - ‘conll2003.zip’ saved [982975/982975]

 
mkdir: cannot create directory ‘data’: File exists
 end{sphinxVerbatim}

 

 

-
conll2003.zip       100%[===================>] 959.94K  5.80MB/s    in 0.2s

+
conll2003.zip       100%[===================>] 959.94K  –.-KB/s    in 0.1s

 

-
2024-02-07 22:20:35 (5.80 MB/s) - ‘conll2003.zip’ saved [982975/982975]

+
2024-02-08 00:00:56 (6.83 MB/s) - ‘conll2003.zip’ saved [982975/982975]

 
mkdir: cannot create directory ‘data’: File exists

 

 

@@ -702,14 +702,6 @@ 
1. Install required dependencies and download data

-
-

-

-

-

-
-
   inflating: data/valid.txt
 

 

@@ -718,9 +710,9 @@ 
1. Install required dependencies and download data
 

 
---2024-02-07 22:20:36--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz
-Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.29.33, 52.216.44.121, 3.5.9.100, ...
-Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.29.33|:443... connected.
+--2024-02-08 00:00:56--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz
+Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.195.65, 52.216.34.89, 52.217.194.57, ...
+Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.195.65|:443... connected.
 HTTP request sent, awaiting response...
 

 
@@ -744,49 +736,32 @@ 
1. Install required dependencies and download data
 
 
pred_probs.npz        0%[                    ]       0  –.-KB/s

-

-

-

-

-

-

-

-
pred_probs.npz       32%[=====&gt;              ]   5.32M  26.6MB/s

-
</pre>

-

-

-
pred_probs.npz       32%[=====>              ]   5.32M  26.6MB/s

-
end{sphinxVerbatim}

-

-

-

-
pred_probs.npz       32%[=====>              ]   5.32M  26.6MB/s

 

 

 

 

 

 

-
pred_probs.npz       96%[==================&gt; ]  15.71M  39.0MB/s
-pred_probs.npz      100%[===================&gt;]  16.26M  40.1MB/s    in 0.4s

+
pred_probs.npz       96%[==================&gt; ]  15.71M  73.8MB/s
+pred_probs.npz      100%[===================&gt;]  16.26M  75.2MB/s    in 0.2s

 

 

-
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+
2024-02-08 00:00:57 (75.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]

 
</pre>

 

 

-
pred_probs.npz       96%[==================> ]  15.71M  39.0MB/s
-pred_probs.npz      100%[===================>]  16.26M  40.1MB/s    in 0.4s

+
pred_probs.npz       96%[==================> ]  15.71M  73.8MB/s
+pred_probs.npz      100%[===================>]  16.26M  75.2MB/s    in 0.2s

 

 

-
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+
2024-02-08 00:00:57 (75.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]

 
end{sphinxVerbatim}

 

 

-
pred_probs.npz       96%[==================> ]  15.71M  39.0MB/s
-pred_probs.npz      100%[===================>]  16.26M  40.1MB/s    in 0.4s

+
pred_probs.npz       96%[==================> ]  15.71M  73.8MB/s
+pred_probs.npz      100%[===================>]  16.26M  75.2MB/s    in 0.2s

 

-
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+
2024-02-08 00:00:57 (75.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]

 

 

 
[3]:
diff --git a/master/tutorials/token_classification.ipynb b/master/tutorials/token_classification.ipynb
index 408427f4d..552855170 100644
--- a/master/tutorials/token_classification.ipynb
+++ b/master/tutorials/token_classification.ipynb
@@ -75,10 +75,10 @@
    "id": "ae8a08e0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:35.313990Z",
-     "iopub.status.busy": "2024-02-07T22:20:35.313816Z",
-     "iopub.status.idle": "2024-02-07T22:20:36.922275Z",
-     "shell.execute_reply": "2024-02-07T22:20:36.921658Z"
+     "iopub.execute_input": "2024-02-08T00:00:56.196767Z",
+     "iopub.status.busy": "2024-02-08T00:00:56.196596Z",
+     "iopub.status.idle": "2024-02-08T00:00:57.333399Z",
+     "shell.execute_reply": "2024-02-08T00:00:57.332829Z"
     }
    },
    "outputs": [
@@ -86,7 +86,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-07 22:20:35--  https://data.deepai.org/conll2003.zip\r\n",
+      "--2024-02-08 00:00:56--  https://data.deepai.org/conll2003.zip\r\n",
       "Resolving data.deepai.org (data.deepai.org)... "
      ]
     },
@@ -94,8 +94,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "185.93.1.249, 2400:52e0:1a00::845:1\r\n",
-      "Connecting to data.deepai.org (data.deepai.org)|185.93.1.249|:443... connected.\r\n"
+      "169.150.236.100, 2400:52e0:1a00::1069:1\r\n",
+      "Connecting to data.deepai.org (data.deepai.org)|169.150.236.100|:443... connected.\r\n"
      ]
     },
     {
@@ -122,9 +122,9 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "conll2003.zip       100%[===================>] 959.94K  5.80MB/s    in 0.2s    \r\n",
+      "conll2003.zip       100%[===================>] 959.94K  --.-KB/s    in 0.1s    \r\n",
       "\r\n",
-      "2024-02-07 22:20:35 (5.80 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
+      "2024-02-08 00:00:56 (6.83 MB/s) - ‘conll2003.zip’ saved [982975/982975]\r\n",
       "\r\n",
       "mkdir: cannot create directory ‘data’: File exists\r\n"
      ]
@@ -136,14 +136,7 @@
       "Archive:  conll2003.zip\r\n",
       "  inflating: data/metadata           \r\n",
       "  inflating: data/test.txt           \r\n",
-      "  inflating: data/train.txt          "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r\n",
+      "  inflating: data/train.txt          \r\n",
       "  inflating: data/valid.txt          \r\n"
      ]
     },
@@ -151,9 +144,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2024-02-07 22:20:36--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
-      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 3.5.29.33, 52.216.44.121, 3.5.9.100, ...\r\n",
-      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|3.5.29.33|:443... connected.\r\n",
+      "--2024-02-08 00:00:56--  https://cleanlab-public.s3.amazonaws.com/TokenClassification/pred_probs.npz\r\n",
+      "Resolving cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)... 54.231.195.65, 52.216.34.89, 52.217.194.57, ...\r\n",
+      "Connecting to cleanlab-public.s3.amazonaws.com (cleanlab-public.s3.amazonaws.com)|54.231.195.65|:443... connected.\r\n",
       "HTTP request sent, awaiting response... "
      ]
     },
@@ -174,18 +167,10 @@
      "output_type": "stream",
      "text": [
       "\r",
-      "pred_probs.npz       32%[=====>              ]   5.32M  26.6MB/s               "
-     ]
-    },
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "\r",
-      "pred_probs.npz       96%[==================> ]  15.71M  39.0MB/s               \r",
-      "pred_probs.npz      100%[===================>]  16.26M  40.1MB/s    in 0.4s    \r\n",
+      "pred_probs.npz       96%[==================> ]  15.71M  73.8MB/s               \r",
+      "pred_probs.npz      100%[===================>]  16.26M  75.2MB/s    in 0.2s    \r\n",
       "\r\n",
-      "2024-02-07 22:20:36 (40.1 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
+      "2024-02-08 00:00:57 (75.2 MB/s) - ‘pred_probs.npz’ saved [17045998/17045998]\r\n",
       "\r\n"
      ]
     }
@@ -202,10 +187,10 @@
    "id": "439b0305",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:36.924800Z",
-     "iopub.status.busy": "2024-02-07T22:20:36.924609Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.975651Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.975124Z"
+     "iopub.execute_input": "2024-02-08T00:00:57.335654Z",
+     "iopub.status.busy": "2024-02-08T00:00:57.335468Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.349948Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.349412Z"
     },
     "nbsphinx": "hidden"
    },
@@ -216,7 +201,7 @@
     "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@387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623\n",
+    "    %pip install git+https://github.com/cleanlab/cleanlab.git@077f5a936954c203fc8740fefd9eeda606f26f5d\n",
     "    cmd = ' '.join([dep for dep in dependencies if dep != \"cleanlab\"])\n",
     "    %pip install $cmd\n",
     "else:\n",
@@ -242,10 +227,10 @@
    "id": "a1349304",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.978094Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.977720Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.981475Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.981015Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.352415Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.352000Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.355349Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.354896Z"
     }
    },
    "outputs": [],
@@ -295,10 +280,10 @@
    "id": "ab9d59a0",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.983434Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.983151Z",
-     "iopub.status.idle": "2024-02-07T22:20:37.986159Z",
-     "shell.execute_reply": "2024-02-07T22:20:37.985712Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.357557Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.357166Z",
+     "iopub.status.idle": "2024-02-08T00:00:58.360004Z",
+     "shell.execute_reply": "2024-02-08T00:00:58.359557Z"
     },
     "nbsphinx": "hidden"
    },
@@ -316,10 +301,10 @@
    "id": "519cb80c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:37.988170Z",
-     "iopub.status.busy": "2024-02-07T22:20:37.987840Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.095100Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.094496Z"
+     "iopub.execute_input": "2024-02-08T00:00:58.362059Z",
+     "iopub.status.busy": "2024-02-08T00:00:58.361747Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.375886Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.375279Z"
     }
    },
    "outputs": [],
@@ -393,10 +378,10 @@
    "id": "202f1526",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.097690Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.097345Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.103018Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.102553Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.378420Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.378100Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.384174Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.383731Z"
     },
     "nbsphinx": "hidden"
    },
@@ -436,10 +421,10 @@
    "id": "a4381f03",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.104811Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.104636Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.452942Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.452409Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.386092Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.385770Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.712835Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.712280Z"
     }
    },
    "outputs": [],
@@ -476,10 +461,10 @@
    "id": "7842e4a3",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.455228Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.455038Z",
-     "iopub.status.idle": "2024-02-07T22:20:47.459456Z",
-     "shell.execute_reply": "2024-02-07T22:20:47.458974Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.715171Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.714983Z",
+     "iopub.status.idle": "2024-02-08T00:01:07.719127Z",
+     "shell.execute_reply": "2024-02-08T00:01:07.718612Z"
     }
    },
    "outputs": [
@@ -551,10 +536,10 @@
    "id": "2c2ad9ad",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:47.461295Z",
-     "iopub.status.busy": "2024-02-07T22:20:47.461140Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.817383Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.816736Z"
+     "iopub.execute_input": "2024-02-08T00:01:07.721205Z",
+     "iopub.status.busy": "2024-02-08T00:01:07.720894Z",
+     "iopub.status.idle": "2024-02-08T00:01:09.991203Z",
+     "shell.execute_reply": "2024-02-08T00:01:09.990397Z"
     }
    },
    "outputs": [],
@@ -576,10 +561,10 @@
    "id": "95dc7268",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.820516Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.819779Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.823692Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.823151Z"
+     "iopub.execute_input": "2024-02-08T00:01:09.994297Z",
+     "iopub.status.busy": "2024-02-08T00:01:09.993597Z",
+     "iopub.status.idle": "2024-02-08T00:01:09.997604Z",
+     "shell.execute_reply": "2024-02-08T00:01:09.997062Z"
     }
    },
    "outputs": [
@@ -615,10 +600,10 @@
    "id": "e13de188",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.825615Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.825439Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.830967Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.830515Z"
+     "iopub.execute_input": "2024-02-08T00:01:09.999626Z",
+     "iopub.status.busy": "2024-02-08T00:01:09.999251Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.004932Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.004388Z"
     }
    },
    "outputs": [
@@ -796,10 +781,10 @@
    "id": "e4a006bd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.833007Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.832708Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.858073Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.857632Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.007156Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.006650Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.031991Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.031546Z"
     }
    },
    "outputs": [
@@ -901,10 +886,10 @@
    "id": "c8f4e163",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.859992Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.859817Z",
-     "iopub.status.idle": "2024-02-07T22:20:49.863878Z",
-     "shell.execute_reply": "2024-02-07T22:20:49.863329Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.034012Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.033696Z",
+     "iopub.status.idle": "2024-02-08T00:01:10.037460Z",
+     "shell.execute_reply": "2024-02-08T00:01:10.036924Z"
     }
    },
    "outputs": [
@@ -978,10 +963,10 @@
    "id": "db0b5179",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:49.865694Z",
-     "iopub.status.busy": "2024-02-07T22:20:49.865524Z",
-     "iopub.status.idle": "2024-02-07T22:20:51.295184Z",
-     "shell.execute_reply": "2024-02-07T22:20:51.294642Z"
+     "iopub.execute_input": "2024-02-08T00:01:10.039392Z",
+     "iopub.status.busy": "2024-02-08T00:01:10.039074Z",
+     "iopub.status.idle": "2024-02-08T00:01:11.408481Z",
+     "shell.execute_reply": "2024-02-08T00:01:11.407944Z"
     }
    },
    "outputs": [
@@ -1153,10 +1138,10 @@
    "id": "a18795eb",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-02-07T22:20:51.297251Z",
-     "iopub.status.busy": "2024-02-07T22:20:51.297061Z",
-     "iopub.status.idle": "2024-02-07T22:20:51.301790Z",
-     "shell.execute_reply": "2024-02-07T22:20:51.301246Z"
+     "iopub.execute_input": "2024-02-08T00:01:11.410630Z",
+     "iopub.status.busy": "2024-02-08T00:01:11.410275Z",
+     "iopub.status.idle": "2024-02-08T00:01:11.414236Z",
+     "shell.execute_reply": "2024-02-08T00:01:11.413795Z"
     },
     "nbsphinx": "hidden"
    },
diff --git a/versioning.js b/versioning.js
index 6c13a6f65..3869290cf 100644
--- a/versioning.js
+++ b/versioning.js
@@ -1,4 +1,4 @@
 var Version = {
   version_number: "v2.5.0",
-  commit_hash: "387ffa3504f24ddd5ac58ebdfa7d39c6ccb44623",
+  commit_hash: "077f5a936954c203fc8740fefd9eeda606f26f5d",
 };
\ No newline at end of file