4b2ea32d7748b94dd51c073cffa892c854643040,pynets/thresholding.py,,thresh_and_fit,#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,149

Before Change

    else:
        conn_matrix_thr = thresholding.density_thresholding(conn_matrix, float(thr))

    if min_span_tree is True:
        print("Applying local thresholding using the Minimum Spanning Tree (MST)...\n")
        conn_matrix_thr = thresholding.local_thresholding(conn_matrix_thr)

    // Save thresholded mat
    est_path = utils.create_est_path(ID, network, conn_model, thr, mask, dir_path, node_size)
    np.save(est_path, conn_matrix_thr)
    return conn_matrix_thr, edge_threshold, est_path, thr, node_size, network

After Change

            print("%s%.2f%s" % ("\nThresholding to achieve density of: ", thr_perc, "% ...\n"))
            conn_matrix_thr = thresholding.density_thresholding(conn_matrix, float(thr))

    if not nx.is_connected(nx.from_numpy_matrix(conn_matrix_thr)):
        print("WARNING: Fragmented graph!")

    // Save thresholded mat

Instances