Python exponential_moving_standardize Examples

Example #1

File: test_preprocess.py Project: sliwy/braindecode

def test_exponential_running_standardize(mock_data):
    mock_input, expected_data, _ = mock_data
    standardized_data = exponential_moving_standardize(mock_input)
    assert mock_input.shape == standardized_data.shape == expected_data.shape
    np.testing.assert_allclose(standardized_data,
                               expected_data,
                               rtol=1e-4,
                               atol=1e-4)

Example #2

File: test_preprocess.py Project: konspatl/braindecode-1

def test_exponential_running_init_block_size(mock_data):
    mock_input, _, _ = mock_data
    init_block_size = 3
    standardized_data = exponential_moving_standardize(
        mock_input, init_block_size=init_block_size)
    np.testing.assert_allclose(standardized_data[:, :init_block_size].sum(),
                               [0],
                               rtol=1e-4,
                               atol=1e-4)

    demeaned_data = exponential_moving_demean(mock_input,
                                              init_block_size=init_block_size)
    np.testing.assert_allclose(demeaned_data[:, :init_block_size].sum(), [0],
                               rtol=1e-4,
                               atol=1e-4)

Example #3

File: test_preprocess.py Project: smile0227/braindecode-1

def test_exponential_running_init_block_size(mock_data):
    mock_input, _, _ = mock_data
    init_block_size = 3
    standardized_data = exponential_moving_standardize(
        mock_input, init_block_size=init_block_size)
    # mean over time axis (1!) should give 0 per channel
    np.testing.assert_allclose(
        standardized_data[:, :init_block_size].mean(axis=1), 0,
        rtol=1e-4, atol=1e-4)
    np.testing.assert_allclose(
        standardized_data[:, :init_block_size].std(axis=1), 1,
        rtol=1e-4, atol=1e-4)

    # mean over time axis (1!) should give 0 per channel
    demeaned_data = exponential_moving_demean(
        mock_input, init_block_size=init_block_size)
    np.testing.assert_allclose(
        demeaned_data[:, :init_block_size].mean(axis=1), 0, rtol=1e-4, atol=1e-4)