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Commits on Sep 6, 2021

• set version 0.11.0

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Commits on Sep 2, 2021

• limit number of points in decision tree regressor visualization (mljar#462)

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• hide correlation warning (mljar#419)

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• hide DataFrame is highly fragmented PerformanceWarning (mljar#419)

  pplonski

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• remove warning in EDA (mljar#419)

  pplonski

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• remove warning in xgboost predict (mljar#419)

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• change multiprocessing to joblib.Parallel in GoldenFeatures (mljar#463)

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Commits on Aug 23, 2021

• Merge pull request mljar#459 from aakarsh1011/readme_update

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Commits on Aug 21, 2021

• Added information about report creation

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Commits on Aug 19, 2021

• Update README.md

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Commits on Aug 12, 2021

• Update README.md

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• Update README.md

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• Create README.md

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• Update README.md

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• Update README.md

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Commits on Aug 11, 2021

• Update README.md

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Commits on Jul 28, 2021

• Merge pull request mljar#445 from fortierq/patch-1

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• Fix spelling

  fortierq

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Commits on Jul 19, 2021

• Merge pull request mljar#437 from Zacchaeus14/master

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• Update lightgbm.py

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Commits on Jun 23, 2021

• Update README.md

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• downgrade numpy to 1.19.5 (mljar#411)

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Commits on Jun 10, 2021

• Update README.md

  pplonski

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Commits on Jun 8, 2021

• set version 0.10.6

  pplonski

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  2a976e2

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• remove pyarrow

  pplonski

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• set version 0.10.5

  pplonski

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• softer requirements for external packages versions (mljar#388)

  pplonski

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• add info about predicted class order (mljar#400)

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• update travis install script

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• update travis install script

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• fix hard coded n_jobs during importance computing (mljar#398)

  pplonski

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• remove cloudpickle dependency (mljar#388)

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• fix proper handle categoricals in CatBoost in Optuna mode (mljar#402)

  pplonski

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• no limit for training after Optuna tuning (mljar#397)

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• no limit for model training after Optuna tuning (mljar#397)

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