tedana.model.fit.computefeats2

computefeats2(data, mmix, mask, normalize=True)

Converts data to component space using mmix

Parameters:

• data ((S x T) array_like) – Input data
• mmix ((T [x C]) array_like) – Mixing matrix for converting input data to component space, where C is components and T is the same as in data
• mask ((S,) array_like) – Boolean mask array
• normalize (bool, optional) – Whether to z-score output. Default: True

Returns:

data_Z – Data in component space

Return type:

(S x C) numpy.ndarray