feature_selection.f_regression用法

sklearn.feature_selection.f_classif(X, y)

Parameters

X

{array-like, sparse matrix} shape = [n_samples, n_features]

The set of regressors that will be tested sequentially.

y

array of shape(n_samples)

The data matrix.

center

rue, bool,

If true, X and y will be centered.

Returns

F

array, shape = [n_features,]

F values of features.

pval

array, shape = [n_features,]

p-values of F-scores.