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fix tests
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2 changed files with 5 additions and 9 deletions
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@ -41,9 +41,7 @@ def test_anonymize_pandas_adult():
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'native-country']
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categorical_features = ['workclass', 'marital-status', 'occupation', 'relationship', 'race', 'sex',
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'native-country']
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QI_indexes = [i for i, v in enumerate(features) if v in QI]
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categorical_features_indexes = [i for i, v in enumerate(features) if v in categorical_features]
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anonymizer = Anonymize(k, QI_indexes, categorical_features=categorical_features_indexes)
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anonymizer = Anonymize(k, QI, categorical_features=categorical_features)
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anon = anonymizer.anonymize(ArrayDataset(x_train, pred, features))
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assert(anon.loc[:, QI].drop_duplicates().shape[0] < x_train.loc[:, QI].drop_duplicates().shape[0])
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@ -62,9 +60,7 @@ def test_anonymize_pandas_nursery():
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k = 100
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QI = ["finance", "social", "health"]
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categorical_features = ["parents", "has_nurs", "form", "housing", "finance", "social", "health", 'children']
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QI_indexes = [i for i, v in enumerate(features) if v in QI]
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categorical_features_indexes = [i for i, v in enumerate(features) if v in categorical_features]
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anonymizer = Anonymize(k, QI_indexes, categorical_features=categorical_features_indexes)
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anonymizer = Anonymize(k, QI, categorical_features=categorical_features)
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anon = anonymizer.anonymize(ArrayDataset(x_train, pred))
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assert(anon.loc[:, QI].drop_duplicates().shape[0] < x_train.loc[:, QI].drop_duplicates().shape[0])
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