def ICA_decompose(raw, method, decim, variance, npcas, maxpcas, reject, picks):
#################### RUN ICA
ica = ICA(n_components=variance,
n_pca_components=npcas,
max_pca_components=maxpcas,
method=method,
verbose=True)
ica.fit(raw, decim=decim, reject=reject, picks=picks)
ica.get_sources(raw)
return ica
def ICA_decompose(raw, method, decim, variance, npcas, maxpcas, reject, picks):
r = np.random.RandomState(1234) # allow for reproducible results
r.uniform(0, 10, 5)
#################### RUN ICA
ica = ICA(n_components=variance,
n_pca_components=npcas,
max_pca_components=maxpcas,
method=method,
verbose=True,
random_state=r)
ica.fit(raw, decim=decim, reject=reject, picks=picks)
ica.get_sources(raw)
return ica
