if self.verbose is not False and self.n_jobs > 1:
print("Iterating epochs ...")
verbose = False if self.n_jobs > 1 else self.verbose
corrs = parallel(my_iterator(self, epochs, idxs, verbose)
for idxs in np.array_split(np.arange(n_epochs),
n_jobs))
self.corr_ = np.concatenate(corrs)
if self.verbose is not False and self.n_jobs > 1:
After Change
if self.verbose is not False and self.n_jobs > 1:
print("Iterating epochs ...")
verbose = False if self.n_jobs > 1 else self.verbose
self.ch_subsets_ = [self._get_random_subsets(
epochs.info, self.random_state + random_state)
for random_state in np.arange(0, n_epochs, n_jobs)]
epoch_idxs = np.array_split(np.arange(n_epochs), n_jobs)
corrs = parallel(my_iterator(self, epochs, idxs, chs, verbose)
for idxs, chs in zip(epoch_idxs, self.ch_subsets_))
self.corr_ = np.concatenate(corrs)
if self.verbose is not False and self.n_jobs > 1:
print("[Done]")
