0d40842bef
Highlights: - New plotting API - Stacking Classifier and Regressor - Permutation-based feature importance - Native support for missing values for gradient boosting - Precomputed sparse nearest neighbors graph - KNN Based Imputation - Tree pruning - Retrieve dataframes from OpenML - Checking scikit-learn compatibility of an estimator - ROC AUC now supports multiclass classification
7 lines
497 B
Text
7 lines
497 B
Text
$NetBSD: distinfo,v 1.7 2020/02/11 16:06:45 minskim Exp $
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SHA1 (scikit-learn-0.22.1.tar.gz) = 84f75ff3e6ed92a71d8f241ba520de57e97475f7
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RMD160 (scikit-learn-0.22.1.tar.gz) = cee5fd1ff80ec39e9b229b26cf22a25a3664a36d
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SHA512 (scikit-learn-0.22.1.tar.gz) = 14191baf3457a3d216d74be34497a3677dd91bb1d3916db6928a4fa1ce93a62c5c9c9879a99fe5317fe088b85b00556087748470a93d3b9d89dbac850a00bc26
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Size (scikit-learn-0.22.1.tar.gz) = 6942980 bytes
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SHA1 (patch-setup.py) = 9a3a0a190f947ec98291534e179587db24f5c5d6
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