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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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feat: add FeatureExtractor 
FeatureExtractor is a class that takes a df contains only a single column with datetime values and adds features based on past knowledge. For example, if there is a value for 2020-04-05 in df; it adds a column of 2020-04-04 value of target_column as target_column_lag1 to it.
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@Bahadir-Erdem
Bahadir-Erdem committed Feb 17, 2025
commit f839e8a73b9b34095a74da7f89dfbe455dd56b28
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