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you-do-4 #21

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f839e8a
feat: add FeatureExtractor
Bahadir-Erdem Feb 17, 2025
3393cb2
fix: fix mishandling categorical column
Bahadir-Erdem Feb 17, 2025
5085e1a
feat: add baseline model
Bahadir-Erdem Feb 17, 2025
2f2f69a
feat: add catboost model
Bahadir-Erdem Feb 17, 2025
3716ab5
fix: now if there is no previous selected features, using all of them…
Bahadir-Erdem Feb 18, 2025
988dbcd
Add: Custom TargetEncoder added. TargetEncoder can automatically sele…
Bahadir-Erdem Feb 27, 2025
1926dda
Feat: TargetEncoder is now compatible sktime splits.
Bahadir-Erdem Feb 28, 2025
e6d5407
Feat: FeatureExtractor now uses datetime as index.
Bahadir-Erdem Mar 1, 2025
55a5f64
Feat: TargetEncoder is now compatible with sktime splits.
Bahadir-Erdem Mar 1, 2025
cc6bd54
Fix: Duplicate datetime index value problem resolved. weather_code used.
Bahadir-Erdem Mar 3, 2025
084d475
Refactor: Folder name changed. FeatureExtractor added.
Bahadir-Erdem Mar 3, 2025
347907b
Feat: Catboost model trained with expanding window and TargetEncoder.
Bahadir-Erdem Mar 3, 2025
3ebe7b6
Fix: Category column type corrected.
Bahadir-Erdem Mar 6, 2025
1d9a1e3
Feat: Ridge model trained with expanding window and TargetEncoder.
Bahadir-Erdem Mar 6, 2025
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fix: now if there is no previous selected features, using all of them… 
… to generate features.
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@Bahadir-Erdem
Bahadir-Erdem committed Feb 18, 2025
commit 3716ab56695b3e963dfc253df0a6ce2ff13fc622
7 changes: 5 additions & 2 deletions week2/friday/you_do_4/notebooks/6.1-ml-catboost.ipynb
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Expand Up @@ -337,11 +337,14 @@
},
{
"cell_type": "code",
"execution_count": 12,
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"X_values = feature_extractor.transform(known_dates).filter(items=[\"datetime\", *best_features])"
"if best_features:\n",
" X_values = feature_extractor.transform(known_dates).filter(items=[\"datetime\", *best_features])\n",
"else:\n",
" X_values = feature_extractor.transform(known_dates)"
]
},
{
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