Datasets:
Upload monks.py
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monks.py
CHANGED
@@ -166,13 +166,13 @@ class Monk(datasets.GeneratorBasedBuilder):
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def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
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print(data.head())
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data.columns = _ORIGINAL_FEATURE_NAMES
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-
print(data.head())
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data.drop("ID", axis="columns", inplace=True)
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data.drop("empty", axis="columns", inplace=True)
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data.loc[:, "has_tie"] = data.has_tie.apply(bool)
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data.loc[:, "is_smiling"] = data.is_smiling.apply(bool)
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data.columns = _BASE_FEATURE_NAMES
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for feature in _ENCODING_DICS:
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print(feature)
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print(data[feature].unique())
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def preprocess(self, data: pandas.DataFrame, config: str = "monks1") -> pandas.DataFrame:
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print(data.head())
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data.columns = _ORIGINAL_FEATURE_NAMES
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data.drop("ID", axis="columns", inplace=True)
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data.drop("empty", axis="columns", inplace=True)
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data.loc[:, "has_tie"] = data.has_tie.apply(bool)
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data.loc[:, "is_smiling"] = data.is_smiling.apply(bool)
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data.columns = _BASE_FEATURE_NAMES
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+
print(data.head())
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for feature in _ENCODING_DICS:
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print(feature)
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print(data[feature].unique())
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