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Benchmark dummy baseline CV consistency; minor changes in installatio…
Python pip install
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move setup to brand new, modern, cutting edge, sota file .toml
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Add _LabelEncodingClassifier to support arbitrary class labels in XGB…
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Internal feature scaling (scale parameter, default "auto"); Shuffled,…
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SVR gamma search, cv timeout fixed
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AlgorithmBenchmark with dummy classifiers
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Add benchmarking functionality for classification and regression algo…
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Add pipeline compatibility tests for Optimizer
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include all algorithms, limit training size
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install [all] for test with pip
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new version
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Added SGD
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benchmark results
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updated readme and benchmark results
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feat: add support for LightGBM and new/old school scikit classifiers …
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enhance hyperparameter tuning options for classifiers and regressors
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version update
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don't ignore benchmarks!
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fix: handle sklearn version compatibility in input validation
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updated documentation
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[minor] code formatting and cleaning
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tune algorithms hyperparameters tuning.
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catch KeyboardInterrupt indicated by CatBoost
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AUC based optimization in tests
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