Datasets:
Upload hypo.py
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hypo.py
CHANGED
@@ -134,7 +134,6 @@ class Hypo(datasets.GeneratorBasedBuilder):
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yield row_id, data_row
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def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
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print(data.columns)
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data.drop("id", axis="columns", inplace=True)
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data.drop("TBG", axis="columns", inplace=True)
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@@ -151,13 +150,13 @@ class Hypo(datasets.GeneratorBasedBuilder):
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for feature in _ENCODING_DICS:
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encoding_function = partial(self.encode, feature)
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print(feature)
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print(data[feature].unique())
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data[feature] = data[feature].apply(encoding_function)
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if self.config.name == "has_hypo":
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data["class"] = data["class"].apply(lambda x: 0 if x == 0 else 1)
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return data[list(features_types_per_config[self.config.name].keys())]
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def encode(self, feature, value):
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yield row_id, data_row
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def preprocess(self, data: pandas.DataFrame) -> pandas.DataFrame:
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data.drop("id", axis="columns", inplace=True)
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data.drop("TBG", axis="columns", inplace=True)
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for feature in _ENCODING_DICS:
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encoding_function = partial(self.encode, feature)
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data[feature] = data[feature].apply(encoding_function)
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if self.config.name == "has_hypo":
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data["class"] = data["class"].apply(lambda x: 0 if x == 0 else 1)
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+
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print([f for f in data.columns if "?" in data[f].unique()])
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return data[list(features_types_per_config[self.config.name].keys())]
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def encode(self, feature, value):
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