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Description: scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms. - Pull requests · IntelPython/scikit-learn_bench

Open Graph Description: scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks f...

X Description: scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks f...

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Remove uneeded code and dependencieshttps://github.com/IntelPython/scikit-learn_bench/pull/205
infra https://github.com/IntelPython/scikit-learn_bench/pulls?q=is%3Apr+is%3Aopen+label%3Ainfra
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Draft https://github.com/IntelPython/scikit-learn_bench/pull/205#partial-pull-merging
https://github.com/IntelPython/scikit-learn_bench/pull/205
Add LogisticRegressionCV to regular confighttps://github.com/IntelPython/scikit-learn_bench/pull/204
enhancement https://github.com/IntelPython/scikit-learn_bench/pulls?q=is%3Apr+is%3Aopen+label%3Aenhancement
david-cortes-intelhttps://github.com/IntelPython/scikit-learn_bench/issues?q=is%3Apr+is%3Aopen+author%3Adavid-cortes-intel
Draft https://github.com/IntelPython/scikit-learn_bench/pull/204#partial-pull-merging
https://github.com/IntelPython/scikit-learn_bench/pull/204
feat(datasets): use scikit-learn datasets downloaderhttps://github.com/IntelPython/scikit-learn_bench/pull/201
homkseihttps://github.com/IntelPython/scikit-learn_bench/issues?q=is%3Apr+is%3Aopen+author%3Ahomksei
Draft https://github.com/IntelPython/scikit-learn_bench/pull/201#partial-pull-merging
6 https://github.com/IntelPython/scikit-learn_bench/pull/201
https://github.com/IntelPython/scikit-learn_bench/pull/201
Remove epsilon dataset usage for ml_benchmarkshttps://github.com/IntelPython/scikit-learn_bench/pull/197
ethanglaserhttps://github.com/IntelPython/scikit-learn_bench/issues?q=is%3Apr+is%3Aopen+author%3Aethanglaser
Draft https://github.com/IntelPython/scikit-learn_bench/pull/197#partial-pull-merging
7 https://github.com/IntelPython/scikit-learn_bench/pull/197
https://github.com/IntelPython/scikit-learn_bench/pull/197
Add shorthand example for PRs in oneDALhttps://github.com/IntelPython/scikit-learn_bench/pull/192
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https://github.com/IntelPython/scikit-learn_bench/pull/192
Move CI config from repo roothttps://github.com/IntelPython/scikit-learn_bench/pull/183
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Draft https://github.com/IntelPython/scikit-learn_bench/pull/183#partial-pull-merging
9 https://github.com/IntelPython/scikit-learn_bench/pull/183
https://github.com/IntelPython/scikit-learn_bench/pull/183
Update example commands in READMEhttps://github.com/IntelPython/scikit-learn_bench/pull/182
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7 https://github.com/IntelPython/scikit-learn_bench/pull/182
https://github.com/IntelPython/scikit-learn_bench/pull/182
Support incremental benchmarking of datasets larger than memoryhttps://github.com/IntelPython/scikit-learn_bench/pull/179
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Draft https://github.com/IntelPython/scikit-learn_bench/pull/179#partial-pull-merging
https://github.com/IntelPython/scikit-learn_bench/pull/179
Code quality improvementhttps://github.com/IntelPython/scikit-learn_bench/pull/173
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https://github.com/IntelPython/scikit-learn_bench/pull/173
Add runner argument to describe datasetshttps://github.com/IntelPython/scikit-learn_bench/pull/167
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https://github.com/IntelPython/scikit-learn_bench/pull/160
Add EMON, VTune, psrecord, ITTpy support in benchmarkshttps://github.com/IntelPython/scikit-learn_bench/pull/115
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12 https://github.com/IntelPython/scikit-learn_bench/pull/115
https://github.com/IntelPython/scikit-learn_bench/pull/115
Model converters benchmark updatehttps://github.com/IntelPython/scikit-learn_bench/pull/86
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