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Update notebook examples with task_type in project and description->commit_message
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‎examples/tabular-classification/sklearn/fetal-health/fetal-health-sklearn.ipynb‎

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"[2126 rows x 22 columns]"
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"<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"▸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"▾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>LogisticRegression(C=10, max_iter=10000, multi_class=&#x27;multinomial&#x27;,\n",
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" penalty=&#x27;l1&#x27;, solver=&#x27;saga&#x27;)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">LogisticRegression</label><div class=\"sk-toggleable__content\"><pre>LogisticRegression(C=10, max_iter=10000, multi_class=&#x27;multinomial&#x27;,\n",
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" penalty=&#x27;l1&#x27;, solver=&#x27;saga&#x27;)</pre></div></div></div></div></div>"
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"LogisticRegression(C=10, max_iter=10000, multi_class='multinomial',\n",
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" penalty='l1', solver='saga')"
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" precision recall f1-score support\n",
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"\n",
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" 0 0.91 0.74 0.82 39\n",
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" 1 0.91 0.98 0.94 330\n",
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" 0 0.81 0.65 0.72 34\n",
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" 1 0.89 0.98 0.94 325\n",
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" 2 0.74 0.46 0.57 67\n",
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"\n",
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" accuracy 0.89 426\n",
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" macro avg 0.84 0.74 0.78 426\n",
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"weighted avg 0.88 0.89 0.88 426\n",
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" accuracy 0.87 426\n",
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" macro avg 0.82 0.70 0.74 426\n",
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"text": [
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"Creating project on Unbox! Check out https://unbox.ai/projects to have a look!\n"
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"Created your project. Check out https://unbox.ai/projects!\n"
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"source": [
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"project = client.create_project(name=\"Fetal Health Prediction\", \n",
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"from unboxapi.tasks import TaskType\n",
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"\n",
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"project = client.create_project(name=\"Fetal Health Prediction\",\n",
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" task_type=TaskType.TabularClassification,\n",
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" description=\"Evaluation of ML approaches to predict health\")"
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"source": [
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"from unboxapi.tasks import TaskType\n",
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"\n",
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"dataset = project.add_dataframe(\n",
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" df=test,\n",
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" class_names=[\"Pathological\", \"Normal\", \"Suspect\"],\n",
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" label_column_name='fetal_health',\n",
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" name=\"Fetal health validation set\",\n",
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" description='this is my fetal health validation dataset',\n",
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" task_type=TaskType.TabularClassification,\n",
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" commit_message='this is my fetal health validation dataset',\n",
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" feature_names=test.loc[:, test.columns != 'fetal_health'].columns.values.tolist(),\n",
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/sklearn/base.py:443: UserWarning: X has feature names, but LogisticRegression was fitted without feature names\n",
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"array([[1.30716901e-06, 9.88941660e-01, 1.10570332e-02],\n",
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" [7.73506281e-03, 6.72233264e-01, 3.20031674e-01],\n",
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" [1.05907808e-04, 9.79362816e-01, 2.05312764e-02]])"
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"array([[2.05737599e-02, 3.78148952e-01, 6.01277288e-01],\n",
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" [2.12130596e-06, 9.99412193e-01, 5.85685717e-04],\n",
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"Bundling model and artifacts...\n",
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"Uploading model to Unbox! Check out https://unbox.ai/models to have a look!\n"
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"text": [
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"/Users/gustavocid/miniconda3/envs/unbox-examples/lib/python3.8/site-packages/joblib/numpy_pickle.py:103: DeprecationWarning: tostring() is deprecated. Use tobytes() instead.\n",
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" pickler.file_handle.write(chunk.tostring('C'))\n"
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" function=predict_proba, \n",
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" task_type=TaskType.TabularClassification,\n",
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" class_names=[\"Pathological\", \"Normal\", \"Suspect\"],\n",
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" name='Fetal Classifier - N3',\n",
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" description='this is my first tabular classification model',\n",
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" commit_message='this is my first tabular classification model',\n",
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" feature_names=test.loc[:, test.columns != 'fetal_health'].columns.values.tolist(),\n",
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" train_sample_df=train[:100],\n",
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" train_sample_label_column_name='fetal_health',\n",
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