Python implementation of feature selection with null importances.
This implementation's interfaces are interface scikit-learn like.
Examples:
rf = RandomForestClassifier(random_state=random_state)
selector = NullSeletor(rf)
selector.fit(train_x, train_y, features)
train_x = selector.transform(train_x)
valid_x = selector.transform(valid_x)
References:
https://www.kaggle.com/ogrellier/feature-selection-with-null-importances https://academic.oup.com/bioinformatics/article/26/10/1340/193348