a09d1f3c4b979972c6594133c21b2783c9234482,mltsp/featurize.py,,load_and_store_feature_data,#Any#Any#Any#Any#,61

Before Change

def load_and_store_feature_data(features_path, featureset_id="unknown",
        in_docker_container=False, first_N=None):
    features = pd.read_csv(features_path, comment="//", skipinitialspace=True)
    if first_N:
        features = features[:first_N]
    write_features_to_disk(features, featureset_id, in_docker_container)
    if not in_docker_container:
        os.remove(features_path)
    return "Featurization of timeseries data complete."

After Change

    targets, metadata = ft.parse_headerfile(features_path)
    if first_N:
        metadata = metadata[:first_N]
        if targets is not None:
            targets = targets[:first_N]
    featureset = ft.assemble_featureset([], targets, metadata)
    write_features_to_disk(featureset, featureset_id, in_docker_container)
//    if not in_docker_container:
//        os.remove(features_path)

Instances