atif-hassan/PyImpetus

PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features

语言：Jupyter Notebook · GitHub 星标：143 · Fork：15

话题：feature-selection · machine-learning-algorithms · markov-blanket · minimal-features · probability · statistics · t-test

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