Ejemplo n.º 1
0
def run_prepare_data(settings, targets, pipelines, train=True, test=False, quiet=False):
    for pipeline in pipelines:
        for target in targets:
            print 'Preparing data for', target
            if train:
                check_training_data_loaded(settings, target, pipeline, quiet=quiet)
            if test:
                check_test_data_loaded(settings, target, pipeline, quiet=quiet)
Ejemplo n.º 2
0
def run_prepare_data(settings, targets, pipelines, train=True, test=False, quiet=False):
    for pipeline in pipelines:
        for target in targets:
            print('Preparing data for', target)
            if train:
                check_training_data_loaded(settings, target, pipeline, quiet=quiet)
            if test:
                check_test_data_loaded(settings, target, pipeline, quiet=quiet)
Ejemplo n.º 3
0
def run_prepare_data(settings, targets_and_pipelines, train=True, test=False):
    for target, pipeline, feature_masks in targets_and_pipelines:
        if train:
            check_training_data_loaded(settings, target, pipeline)
        if test:
            check_test_data_loaded(settings, target, pipeline)
Ejemplo n.º 4
0
def run_prepare_data(settings, targets_and_pipelines, train=True, test=False):
    for target, pipeline, feature_masks in targets_and_pipelines:
        if train:
            check_training_data_loaded(settings, target, pipeline)
        if test:
            check_test_data_loaded(settings, target, pipeline)
Ejemplo n.º 5
0
def run_prepare_data_for_submission(settings, targets, pipelines):
    for pipeline in pipelines:
        for target in targets:
            print 'Running %s pipeline %s' % (target, pipeline.get_name())
            check_training_data_loaded(settings, target, pipeline)
            check_test_data_loaded(settings, target, pipeline)
Ejemplo n.º 6
0
def run_prepare_data_for_submission(settings, targets, pipelines):
    for pipeline in pipelines:
        for target in targets:
            print 'Running %s pipeline %s' % (target, pipeline.get_name())
            check_training_data_loaded(settings, target, pipeline)
            check_test_data_loaded(settings, target, pipeline)