408f12dec2ff56559a26873a848a09e4c8facfeb,brainiak/isc.py,,isc,#Any#Any#Any#Any#,76

Before Change

        elif pairwise:
            iscs = squareform(np.corrcoef(voxel_data), checks=False)
        elif not pairwise:
            iscs = np.array([pearsonr(subject,
                                      mean(np.delete(voxel_data,
                                                     s, axis=0),
                                           axis=0))[0]
                             for s, subject in enumerate(voxel_data)])
        voxel_iscs.append(iscs)
    iscs_stack = np.column_stack(voxel_iscs)

After Change

    elif pairwise:

        // Swap axes for np.corrcoef
        data = np.swapaxes(data, 2, 0)

        // Loop through voxels
        voxel_iscs = []
        for v in np.arange(data.shape[1]):
            voxel_data = data[:, v, :]

            // Correlation matrix for all pairs of subjects (triangle)
            iscs = squareform(np.corrcoef(voxel_data), checks=False)
            voxel_iscs.append(iscs)

        iscs_stack = np.column_stack(voxel_iscs)

    // Compute leave-one-out ISCs
    elif not pairwise:

Instances