c2d820df13a3f91f6407b428cb67c0e1b18413f9,plot_adhd_covariance.py,,,#,50

Before Change

filename = dataset["func"][subject_n]
confound_file = dataset["confounds"][subject_n]

print("-- Loading raw data ({0:d}) and masking ...".format(subject_n))
msdl_atlas = nilearn.datasets.fetch_msdl_atlas()

print("-- Computing confounds ...")
hv_confounds = nilearn.image.high_variance_confounds(filename)

After Change

    print("-- Computing confounds ...")
    confound_file = dataset["confounds"][subject_n]
    hv_confounds = mem.cache(nilearn.image.high_variance_confounds)(filename)

    print("-- Computing region signals ...")
    masker = nilearn.input_data.NiftiMapsMasker(
        atlas["maps"], resampling_target="maps", detrend=True,

Instances