Datasets:

mstz
/

german

Tasks:

Tabular Classification

Modalities:

Formats:

Languages:

Size:

Tags:

tabular_classification

binary_classification

multiclass_classification

Libraries:

License:

Dataset card Data Studio Files Files and versions

mstz commited on Mar 25, 2023

Commit

a8e50bd

·

1 Parent(s): 901d3ce

Upload german.py

Files changed (1) hide show

german.py +5 -2

german.py CHANGED Viewed

@@ -227,8 +227,11 @@ class German(datasets.GeneratorBasedBuilder):
             if feature not in ["marital_status", "sex"]:
                 encoding_function = partial(self.encode, feature)
                 data.loc[:, feature] = data[feature].apply(encoding_function)
-        data.loc[:, "marital_status"] = data.personal_status_and_sex.apply(self.encode_marital_status)
-        data.loc[:, "sex"] = data.personal_status_and_sex.apply(self.encode_sex)
         data.loc[:, "loan_purpose"] = data.loan_purpose.apply(self.encode_loan_purpose)
         data.loc[:, "loan_granted"] = data.loan_granted.apply(lambda x: x - 1)

             if feature not in ["marital_status", "sex"]:
                 encoding_function = partial(self.encode, feature)
                 data.loc[:, feature] = data[feature].apply(encoding_function)
+        encode_marital_status = partial(self.encode, "marital_status")
+        encode_sex = partial(self.encode, "sex")
+        data.loc[:, "marital_status"] = data.personal_status_and_sex.apply(encode_marital_status)
+        data.loc[:, "sex"] = data.personal_status_and_sex.apply(encode_sex)
         data.loc[:, "loan_purpose"] = data.loan_purpose.apply(self.encode_loan_purpose)
         data.loc[:, "loan_granted"] = data.loan_granted.apply(lambda x: x - 1)