Datasets:

mstz
/

adult

Tasks:

Tabular Classification

Modalities:

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Size:

Tags:

tabular_classification

binary_classification

multiclass_classification

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mstz commited on Mar 30, 2023

Commit

d2fe9b6

·

1 Parent(s): 8c4b0a2

Upload adult.py

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adult.py +2 -2

adult.py CHANGED Viewed

@@ -236,11 +236,11 @@ class Adult(datasets.GeneratorBasedBuilder):
     def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
         data.drop("education", axis="columns", inplace=True)
-        data = data.rename(columns={"threshold": "over_threshold"})
         data = data[["age", "capital_gain", "capital_loss", "education-num", "final_weight",
                      "hours_per_week", "marital_status", "native_country", "occupation",
-                     "race", "relationship", "sex", "workclass", "over_threshold"]]
         data.columns = _BASE_FEATURE_NAMES
         for feature in _ENCODING_DICS:

     def preprocess(self, data: pandas.DataFrame, config: str = DEFAULT_CONFIG) -> pandas.DataFrame:
         data.drop("education", axis="columns", inplace=True)
+        data = data.rename(columns={"threshold": "over_threshold", "sex": "is_male"})
         data = data[["age", "capital_gain", "capital_loss", "education-num", "final_weight",
                      "hours_per_week", "marital_status", "native_country", "occupation",
+                     "race", "relationship", "is_male", "workclass", "over_threshold"]]
         data.columns = _BASE_FEATURE_NAMES
         for feature in _ENCODING_DICS: