normalization#

class processing.normalization.Normalizer(sfreq: float, settings: NMSettings, type: Literal['raw', 'feature'], **kwargs)[source]#

process(data: ndarray) → ndarray[source]#

Process normalization. Note: raw data has to be internally transposed, s.t. raw and features are normalized in the same way.

Parameters:

data (np.ndarray) – shape (channels, n_samples)

Returns:

(channels, n_samples)

Return type:

np.ndarray