Upload compas.py

compas.py

@@ -76,7 +76,6 @@ _BASE_FEATURE_NAMES = [
     "number_of_prior_offenses",
     "days_before_screening_arrest",
     "is_recidivous",
-    "days_of_recidividity_after_arrest",
     "days_in_custody",
     "is_violent_recidivous",
     "violence_decile_score",
@@ -110,7 +109,6 @@ features_types_per_config = {
         "number_of_prior_offenses": datasets.Value("int64"),
         "days_before_screening_arrest": datasets.Value("int64"),
         "is_recidivous": datasets.Value("int64"),
-        "days_of_recidividity_after_arrest": datasets.Value("int64"),
         "days_in_custody": datasets.Value("int64"),
         "is_violent_recidivous": datasets.Value("int64"),
         "violence_decile_score": datasets.Value("int64"),
@@ -127,7 +125,6 @@ features_types_per_config = {
         "number_of_prior_offenses": datasets.Value("int64"),
         "days_before_screening_arrest": datasets.Value("int64"),
         "is_recidivous": datasets.Value("int64"),
-        "days_of_recidividity_after_arrest": datasets.Value("int64"),
         "days_in_custody": datasets.Value("int64"),
         "is_violent_recidivous": datasets.Value("int64"),
         "violence_decile_score": datasets.Value("int64"),
@@ -144,7 +141,6 @@ features_types_per_config = {
         "number_of_other_juvenile_offenses": datasets.Value("int64"),
         "days_before_screening_arrest": datasets.Value("int64"),
         "is_recidivous": datasets.Value("int64"),
-        "days_of_recidividity_after_arrest": datasets.Value("int64"),
         "days_in_custody": datasets.Value("int64"),
         "is_violent_recidivous": datasets.Value("int64"),
         "violence_decile_score": datasets.Value("int64"),
@@ -161,7 +157,6 @@ features_types_per_config = {
         "number_of_other_juvenile_offenses": datasets.Value("int64"),
         "days_before_screening_arrest": datasets.Value("int64"),
         "is_recidivous": datasets.Value("int64"),
-        "days_of_recidividity_after_arrest": datasets.Value("int64"),
         "days_in_custody": datasets.Value("int64"),
         "is_violent_recidivous": datasets.Value("int64"),
         "violence_decile_score": datasets.Value("int64"),
@@ -259,13 +254,12 @@ class Compas(datasets.GeneratorBasedBuilder):
         data.drop("priors_count.1", axis="columns", inplace=True)
         data.drop("c_case_number", axis="columns", inplace=True)
         data.drop("c_days_from_compas", axis="columns", inplace=True)
+        data.drop("r_days_from_arrest", axis="columns", inplace=True)
+        
 
         # handle nan values
         data.loc[data.days_b_screening_arrest.isna(), "days_b_screening_arrest"] = -1
         data.loc[:, "days_b_screening_arrest"] = data.days_b_screening_arrest.astype(int)
-        print("dropping from " + str(data.shape[0]))
-        data = data[~data.r_days_from_arrest.isna()]
-        print("dropped to" + str(data.shape[0]))
 
         # transform columns into intervals
         print("dropping from " + str(data.shape[0]))
@@ -324,7 +318,6 @@ class Compas(datasets.GeneratorBasedBuilder):
     def two_years_recidividity_preprocessing(self, data: pandas.DataFrame) -> pandas.DataFrame:
         # categorize features
         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