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chasedehan/BoostARoota

A fast xgboost feature selection algorithm

Python MIT master Stack scanned README.md
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Latest capture 2026-07-07 03:14

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Scanned 2026-07-07 03:14

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  • pytest test framework · high confidence
pip python

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  • requirements.txt python ecosystem, 7 dependencies
  • setup.py python ecosystem, 4 dependencies

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Topics

#algorithm #boruta #data-science #datascience #datascientist #dimension-reduction #feature-selection #machine-learning #machine-learning-algorithms #machinelearning #xgboost #xgboost-algorithm

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pytest

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Metadata

Language
Python
License
MIT
Default branch
master
Created
2017-08-23
First commit
2017-08-23
Last pushed
2026-06-30
GitHub updated
2026-06-30
Last synced
2026-07-07 03:14
Stack detected
2026-07-07 03:14
Archived
no

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GitHub README

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