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Limiting fraud dataset to speed up doc builds (#1646)
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* fix fraud

* update release notes

* linting
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bchen1116 committed Jan 5, 2021
1 parent 84b0214 commit d4739cf
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Showing 2 changed files with 5 additions and 10 deletions.
1 change: 1 addition & 0 deletions docs/source/release_notes.rst
Expand Up @@ -13,6 +13,7 @@ Release Notes
* Addressed stacked ensemble component for ``scikit-learn`` v0.24 support by setting ``shuffle=True`` for default CV :pr:`1613`
* Fix bug where ``Imputer`` reset the index on ``X`` :pr:`1590`
* Fixed AutoMLSearch stacktrace when a cutom objective was passed in as a primary objective or additional objective :pr:`1575`
* Limit ``load_fraud`` dataset loaded into ``automl.ipynb`` :pr:`1646`
* Fix custom index bug for ``MAPE`` objective :pr:`1641`
* Fixed bug where time series baseline estimators were not receiving ``gap`` and ``max_delay`` in ``AutoMLSearch`` :pr:`1645`
* Changes
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14 changes: 4 additions & 10 deletions docs/source/user_guide/automl.ipynb
Expand Up @@ -58,7 +58,7 @@
"source": [
"import evalml\n",
"from evalml.utils import infer_feature_types\n",
"X, y = evalml.demos.load_fraud(return_pandas=True)\n",
"X, y = evalml.demos.load_fraud(n_rows=1000, return_pandas=True)\n",
"X = infer_feature_types(X, feature_types={'provider': 'categorical'})"
]
},
Expand Down Expand Up @@ -211,9 +211,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [],
"source": [
"## start_iteration_callback example function\n",
Expand All @@ -232,9 +230,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [],
"source": [
"## add_result_callback example function\n",
Expand Down Expand Up @@ -425,9 +421,7 @@
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"scrolled": false
},
"metadata": {},
"outputs": [],
"source": [
"X, y = evalml.demos.load_breast_cancer()\n",
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