def f_classif(X, y):
    X, y = check_X_y(X, y, ['csr', 'csc', 'coo'])
    args = [X[safe_mask(X, y == k)] for k in np.unique(y)]
    return f_oneway(*args)
Compute the ANOVA F-value for the provided sample.
dataset/ETHPy150Open scikit-learn/scikit-learn/sklearn/feature_selection/univariate_selection.py/f_classif