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)
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)
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)
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)