Upload compas.py

compas.py

@@ -205,9 +205,6 @@ class Compas(datasets.GeneratorBasedBuilder):
     def _generate_examples(self, filepath: str):
         data = pandas.read_csv(filepath)
         data = self.preprocess(data, config=self.config.name)
-        print(data.dtypes)
-        print(data.days_before_screening_arrest.unique())
-        print(data.days_of_recidividity_after_arrest.unique())
 
         for row_id, row in data.iterrows():
             data_row = dict(row)
@@ -268,8 +265,6 @@ class Compas(datasets.GeneratorBasedBuilder):
         data.drop("in_custody", axis="columns", inplace=True)
         data.drop("out_custody", axis="columns", inplace=True)
 
-        print("data.columns")
-        print(data.columns)
         data = data[["sex",
                      "age",
                      "race",
@@ -307,6 +302,7 @@ class Compas(datasets.GeneratorBasedBuilder):
         # categorize features
         print(data.columns)
         data.loc[:, "race"] = data.race.apply(self.encode_race)
+        data.loc[:, "days_of_recidividity_after_arrest"] = data.days_of_recidividity_after_arrest.astype(int)
 
         return data