5605cfb777a9319319490c3357be491ddae88213,pynets/graphestimation.py,,get_conn_matrix,#Any#Any#,10

Before Change

        print("\nComputing partial correlation matrix...\n")
        conn_measure = ConnectivityMeasure(kind="partial correlation")
        conn_matrix = conn_measure.fit_transform([time_series])[0]
    elif conn_model == "tangent":
        // credit: nilearn
        print("\nComputing tangent matrix...\n")
        conn_measure = ConnectivityMeasure(kind="tangent")
        conn_matrix = conn_measure.fit_transform([time_series])[0]
    elif conn_model == "cov" or conn_model == "sps":
        ////Fit estimator to matrix to get sparse matrix
        estimator = GraphLassoCV()
        try:

After Change

                print("\nFetching shrunk precision matrix from covariance estimator...\n")
                conn_matrix = -estimator_shrunk.precision_
        elif conn_model == "cov":
            if estimator_shrunk is None:
                print("\nFetching covariance matrix from covariance estimator...\n")
                conn_matrix = estimator.covariance_
            else:
                conn_matrix = estimator_shrunk.covariance_
    elif conn_model == "QuicGraphLasso":
        from inverse_covariance import QuicGraphLasso
        // Compute the sparse inverse covariance via QuicGraphLasso
        // credit: skggm

Instances