def test_randomized_pca_check_list(): """Test that the projection by RandomizedPCA on list data is correct""" X = [[1.0, 0.0], [0.0, 1.0]] X_transformed = RandomizedPCA(n_components=1, random_state=0).fit(X).transform(X) assert_equal(X_transformed.shape, (2, 1)) assert_almost_equal(X_transformed.mean(), 0.00, 2) assert_almost_equal(X_transformed.std(), 0.71, 2)