614ff7af666ecaab6dfa42f7377ec4c1608b1ff6,aif360/datasets/meps_dataset_panel19_fy2015.py,MEPSDataset19,__init__,#MEPSDataset19#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#Any#,75

Before Change

                 na_values=[], custom_preprocessing=default_preprocessing,
                 metadata=default_mappings):

        filepath = os.path.join(os.path.dirname(os.path.abspath(__file__)),
            "../data/raw/meps/h181.csv")
        df = pd.read_csv(filepath, sep=",", na_values=na_values)

        super(MEPSDataset19, self).__init__(df=df, label_name=label_name,
            favorable_classes=favorable_classes,
            protected_attribute_names=protected_attribute_names,

After Change

                 na_values=[], custom_preprocessing=default_preprocessing,
                 metadata=default_mappings):

        filepath = os.path.join(os.path.dirname(os.path.abspath(__file__)),
                                "..", "data", "raw", "meps", "h181.csv")

        try:
            df = pd.read_csv(filepath, sep=",", na_values=na_values)
        except IOError as err:
            print("IOError: {}".format(err))
            print("To use this class, please follow the instructions in:")
            print("\n\t{}\n".format(os.path.abspath(os.path.join(
               os.path.abspath(__file__), "..", "..", "data", "raw", "meps", "README.md"))))
            print("\n to download and convert the 2015 data and place the final h181.csv file, as-is, in the folder:")
            print("\n\t{}\n".format(os.path.abspath(os.path.join(
               os.path.abspath(__file__), "..", "..", "data", "raw", "meps"))))
            import sys
            sys.exit(1)

        super(MEPSDataset19, self).__init__(df=df, label_name=label_name,
            favorable_classes=favorable_classes,
            protected_attribute_names=protected_attribute_names,
            privileged_classes=privileged_classes,

Instances