ranktreeEnsemble

Name	ranktreeEnsemble JSON
Version	0.1.3 JSON
	download
home_page	https://github.com/RuijieYin/Ensemble_Methods_of_Rank_Based_Trees_py
Summary	Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction.
upload_time	2023-08-18 00:39:21
maintainer	Ruijie Yin
docs_url	None
author	['Ruijie Yin', 'Ye Chen', 'Min Lu']
requires_python	>=3.6
license	MIT License
keywords	ensemble rank trees
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
coveralls test coverage	No coveralls.

            Fast computing an ensemble of rank-based trees via boosting or random forest on binary and multi-class problems. It converts continuous gene expression profiles into ranked gene pairs, for which the variable importance indices are computed and adopted for dimension reduction.


            

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