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889f291
Update notebooks to use latest codes with extra notebook dependencies
loomlike Dec 7, 2022
62d7509
wip. Remove azure cli package from extra dependencies
loomlike Dec 7, 2022
83fc0ca
Update fraud detection demo notebook and add test
loomlike Dec 13, 2022
5e6a6bc
WIP debugging
loomlike Dec 13, 2022
c19b79f
Merge branch 'main' into jumin/update_get_result_df_examples
loomlike Dec 13, 2022
711090f
Update notebooks
loomlike Dec 13, 2022
2c0eac1
modify notebook test to go-around materialization issue
loomlike Dec 13, 2022
9531554
Change notebook parameter name to align with client argument
loomlike Dec 14, 2022
0c3d7ab
Update recommendation notebook
loomlike Dec 15, 2022
62e42c0
Update synapse example. Add azure-cli dependency to notebook dependen…
loomlike Dec 17, 2022
b13733b
Update data url constants to point the source github repo's raw files
loomlike Dec 19, 2022
bb0372d
add dataset url constants to init.py
loomlike Dec 19, 2022
94507ad
Update feature embedding notebook to use the original dataset from az…
loomlike Dec 19, 2022
a318cb4
Add recommendation sample notebook test
loomlike Dec 23, 2022
783c658
Merge branch 'main' into jumin/update_get_result_df_examples
loomlike Dec 27, 2022
c473374
Fix numpy.bool deprecation error
loomlike Dec 27, 2022
2044323
Change databricks cluster node size from Dv2 to DSv2
loomlike Dec 28, 2022
7b91b3e
Use Dv4 for databricks notebook test due to the limit of Dv2 quota at…
loomlike Dec 28, 2022
bad967d
Fix to use the supported vm size
loomlike Dec 28, 2022
73f60de
pin numpy to resolve conflict with pyspark
loomlike Dec 29, 2022
c1f791a
Add document intelligence sample notebook
loomlike Jan 3, 2023
4795914
Update fraud detection sample
loomlike Jan 5, 2023
9752e93
Merge branch 'main' into jumin/update_get_result_df_examples
loomlike Jan 5, 2023
9285479
Fix Precision/recall graph of the fraud detection sample notebook
loomlike Jan 9, 2023
9d322da
Merge branch 'main' into jumin/fix_fraud_detection_chart
loomlike Jan 10, 2023
12a29cc
Change wait for job to finish to be 5000 sec
loomlike Jan 10, 2023
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18 changes: 14 additions & 4 deletions docs/samples/fraud_detection_demo.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1082,6 +1082,16 @@
"y_pred"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"y_prob = clf.predict_proba(X_test)\n",
"y_prob"
]
},
{
"cell_type": "markdown",
"metadata": {},
Expand All @@ -1096,7 +1106,7 @@
"outputs": [],
"source": [
"display = PrecisionRecallDisplay.from_predictions(\n",
" y_test, y_pred, name=\"HistGradientBoostingClassifier\"\n",
" y_test, y_prob[:, 1], name=\"RandomForestClassifier\"\n",
")\n",
"_ = display.ax_.set_title(\"Fraud Detection Precision-Recall Curve\")"
]
Expand Down Expand Up @@ -1255,7 +1265,7 @@
"widgets": {}
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"display_name": "feathr",
"language": "python",
"name": "python3"
},
Expand All @@ -1269,11 +1279,11 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.15"
"version": "3.8.0 (default, Nov 6 2019, 21:49:08) \n[GCC 7.3.0]"
},
"vscode": {
"interpreter": {
"hash": "e34a1a57d2e174682770a82d94a178aa36d3ccfaa21227c5d2308e319b7ae532"
"hash": "ddb0e38f168d5afaa0b8ab4851ddd8c14364f1d087c15de6ff2ee5a559aec1f2"
}
}
},
Expand Down
8 changes: 4 additions & 4 deletions docs/samples/product_recommendation_demo_advanced.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -1208,7 +1208,7 @@
")\n",
"\n",
"client.materialize_features(settings, allow_materialize_non_agg_feature=True)\n",
"client.wait_job_to_finish(timeout_sec=1000)"
"client.wait_job_to_finish(timeout_sec=5000)"
]
},
{
Expand Down Expand Up @@ -1329,7 +1329,7 @@
"widgets": {}
},
"kernelspec": {
"display_name": "feathr",
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
Expand All @@ -1343,11 +1343,11 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
"version": "3.8.5 (default, Jan 27 2021, 15:41:15) \n[GCC 9.3.0]"
},
"vscode": {
"interpreter": {
"hash": "e34a1a57d2e174682770a82d94a178aa36d3ccfaa21227c5d2308e319b7ae532"
"hash": "916dbcbb3f70747c44a77c7bcd40155683ae19c65e1c03b4aa3499c5328201f1"
}
}
},
Expand Down