363cb21af01cd3c86067882b98eb08e6f4a33a75,plot_adhd_covariance2.py,,,#,81

Before Change

                                return_costs=True)
    gsc.fit(tasks)

    pl.figure()
    pl.plot(gsc.objective_)
    pl.grid()

    // Check that duality gap is higher than estimated error.

After Change

        msdl_atlas["maps"], resampling_target="maps",
        low_pass=None, high_pass=0.01, t_r=2.5, standardize=True,
        memory=mem, memory_level=1, verbose=1)
    region_ts = masker.fit_transform(filename,
                                     confounds=[hv_confounds, confound_file])
    subjects.append(region_ts)


print("-- Computing precision matrices ...")

Instances