4d0483edd1468855df714f77bca1a0a93f01cbce,tests/test_features/test_pca.py,PCADecompositionTests,test_scale_true_3d_execption,#PCADecompositionTests#,217

Before Change

        
        Test the PCADecomposition visualizer 3 dims scaled on 2 dim data set (catch ValueError).
        
        X = np.array(
            [[2.318, 2.727],
             [2.315, 2.726],
             [2.315, 2.724],
             [2.110, 3.609],
             [2.110, 3.626],
             [2.110, 3.620]]
        )

        y = np.array([1, 0])

        params = {"scale": True, "center": False, "proj_dim": 3, "col": y}

After Change

        
        Test the PCADecomposition visualizer 3 dims scaled on 2 dim data set (catch ValueError).
        
        X = np.random.normal(loc=2, size=(100, 2))
        params = {"scale": True, "proj_dim": 3}

        with pytest.raises(ValueError, match="n_components=3 must be between 0 and n_features"):
            pca = PCADecomposition(**params)

Instances