class sklearn.feature_selection.SelectKBest(score_func=, k=10)

class sklearn.feature_selection.SelectFdr(score_func=, alpha=0.05)

sklearn.feature_selection.mutual_info_regression(X, y, discrete_features='auto', n_neighbors=3, copy=True, ran

sklearn.feature_selection.f_classif(X, y)

class sklearn.feature_selection.RFE(estimator, n_features_to_select=None, step=1, verbose=0)

class sklearn.feature_selection.SelectFpr(score_func=, alpha=0.05)

sklearn.feature_selection.mutual_info_classif(X, y, discrete_features='auto', n_neighbors=3, copy=True, random_state=None)

class sklearn.feature_selection.GenericUnivariateSelect(score_func=, mode='percentile', param=1e-05)

class sklearn.feature_selection.VarianceThreshold(threshold=0.0)

sklearn.feature_selection.f_regression(X, y, center=True)