Python generate_linear_model_csv Examples

Example #1

File: scoop_test_lsq6.py Project: soffiafdz/nist_mni_pipelines

from scoop import futures, shared

import iplScoopGenerateModel as gm

if __name__ == '__main__':
    # setup data for parallel processing
    gm.generate_linear_model_csv('subjects.lst',
                                 work_prefix='test_lsq6',
                                 options={
                                     'symmetric': False,
                                     'reg_type': '-lsq6',
                                     'objective': '-xcorr',
                                     'iterations': 24
                                 })

Example #2

File: scoop_test_nobias.py Project: soffiafdz/nist_mni_pipelines

from scoop import futures, shared

import iplScoopGenerateModel as gm

if __name__ == '__main__':
    # setup data for parallel processing
    gm.generate_linear_model_csv('big_subjects.lst',
                                 work_prefix='tmp_nobias',
                                 options={
                                     'symmetric': False,
                                     'reg_type': '-lsq6',
                                     'objective': '-xcorr',
                                     'iterations': 4,
                                     'biascorr': False
                                 })