def _test_ridge_cv(filter_): ridge_cv = RidgeCV() ridge_cv.fit(filter_(X_diabetes), y_diabetes) ridge_cv.predict(filter_(X_diabetes)) assert_equal(len(ridge_cv.coef_.shape), 1) assert_equal(type(ridge_cv.intercept_), np.float64) cv = KFold(5) ridge_cv.set_params(cv=cv) ridge_cv.fit(filter_(X_diabetes), y_diabetes) ridge_cv.predict(filter_(X_diabetes)) assert_equal(len(ridge_cv.coef_.shape), 1) assert_equal(type(ridge_cv.intercept_), np.float64)
def _test_ridge_cv(filter_): ridge_cv = RidgeCV() ridge_cv.fit(filter_(X_diabetes), y_diabetes) ridge_cv.predict(filter_(X_diabetes)) assert len(ridge_cv.coef_.shape) == 1 assert type(ridge_cv.intercept_) == np.float64 cv = KFold(5) ridge_cv.set_params(cv=cv) ridge_cv.fit(filter_(X_diabetes), y_diabetes) ridge_cv.predict(filter_(X_diabetes)) assert len(ridge_cv.coef_.shape) == 1 assert type(ridge_cv.intercept_) == np.float64