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1. Commits on Mar 9, 2026

   • CatBoost supports scikit-learn 1.8.x now. #2955

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     andrey-khropov

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2. Commits on Dec 13, 2025

   • CatBoost has compatibility issues with scikit-learn 1.8.x for now.. #2955

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     andrey-khropov

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3. Commits on Nov 17, 2024

   • Pull request "Adapt to new hyperopt versions: Changed np.random.RandomState to np.random.default_rng" by @amrzv from https://github.com/catboost/catboost/pull/2760

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4. Commits on Oct 31, 2022

   • create_cd fix: dict keys in feature_names are column indices. Add tests.. Fixes #2211.

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5. Commits on Mar 25, 2022

   • [catboost] fix classfication tutorial

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     LyzhinIvan

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6. Commits on Oct 29, 2021

   • Fix calls to predict_proba and parameters to wget

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     Evgueni-Petrov-aka-espetrov

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7. Commits on Oct 13, 2021

   • [catboost] multilabel tutorial

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     LyzhinIvan

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8. Commits on Feb 12, 2020

   • add colab links in tutorials REWEIW:NEW

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     grag90

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9. Commits on Aug 8, 2019

   • Remove inverted parameter from cv

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10. Commits on Jun 6, 2019

    • Updated shap example at classification_tutorial.ipynb

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11. Commits on Jun 4, 2019

    • fix parameter tuning tutorial

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      Anna Veronika Dorogush

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12. Commits on May 21, 2019

    • [catboost] Remofe fstr_type warning MLTOOLS-3587

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13. Commits on May 17, 2019

    • revert deleting tutorial

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      Anna Veronika Dorogush

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    • delete tutorial classification_with_parameter_tuning

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14. Commits on Dec 26, 2018

    • Add simple classification tutorial to readme

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      yazevnul

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    • [catboost/tutorials] fix issues from postreview

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    • [catboost/tutorials] Split catboost4j-tutorial into two, first about classification and parameter tuning and second about simple model training.

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15. Commits on Dec 11, 2018

    • MLTOOLS-2685 (sending for review just in case some other links were meant to be in this place)

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16. Commits on Oct 29, 2018

    • Update tutorials

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      nikitxskv

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17. Commits on Oct 23, 2018

    • Tutorials refactoring

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      sab

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