test_one_hot_encoder.py 文件源码

python
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项目:coremltools 作者: apple 项目源码 文件源码
def test_boston_OHE(self): 
        data = load_boston()

        for categorical_features in [ [3], [8], [3, 8], [8,3] ]:

            model = OneHotEncoder(categorical_features = categorical_features, sparse=False)
            model.fit(data.data, data.target)

            # Convert the model
            spec = sklearn.convert(model, data.feature_names, 'out').get_spec()

            input_data = [dict(zip(data.feature_names, row)) for row in data.data]
            output_data = [{"out" : row} for row in model.transform(data.data)]

            result = evaluate_transformer(spec, input_data, output_data)

            assert result["num_errors"] == 0

    # This test still isn't working
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