Python RandomizedPCA.std Examples

Example #1

File: test_pca.py Project: Garrett-R/scikit-learn

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)

Example #2

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)