c813b290c4e2f8938ae7a201f7f35a80a869a1a0,nisl/decomposition/canica.py,CanICA,fit,#CanICA#Any#Any#,98

Before Change

            subject_data = subject_data.T
            subject_data = self.memory.cache(linalg.svd)(subject_data,
                    full_matrices=False)[0]
            subject_data = subject_data[:, :2 * self.n_components]
            pcas.append(subject_data)
            del subject_data

        if self.kurtosis_thr is None:
            group_maps = self.memory.cache(randomized_svd)(

After Change

            // Probably a list
            data = copy.deepcopy(data)

        pcas = Parallel(n_jobs=self.n_jobs, verbose=self.verbose)(
                delayed(subject_pca)(subject_data,
                    n_components=self.n_components, mem=self.mem)
                for subject_data in data)
        pcas = np.concatenate(pcas, axis=1)

        if self.kurtosis_thr is None:
        // Do PCAs and CCAs

Instances