Python sklearn.base 模块，TransformerMixin() 实例源码

我们从Python开源项目中，提取了以下3个代码示例，用于说明如何使用sklearn.base.TransformerMixin()。

项目：yellowbrick 作者：DistrictDataLabs | 项目源码 | 文件源码

def test_subclass(self):
        """
        Assert the feature visualizer is in its rightful place
        """
        visualizer = FeatureVisualizer()
        self.assertIsInstance(visualizer, TransformerMixin)
        self.assertIsInstance(visualizer, BaseEstimator)
        self.assertIsInstance(visualizer, Visualizer)

    # def test_interface(self):
    #     """
    #     Test the feature visualizer interface
    #     """
    #
    #     visualizer = FeatureVisualizer()
    #     with self.assertRaises(NotImplementedError):
    #         visualizer.poof()

项目：yellowbrick 作者：DistrictDataLabs | 项目源码 | 文件源码

def test_subclass(self):
        """
        Assert the text visualizer is subclassed correctly 
        """
        visualizer = TextVisualizer()
        self.assertIsInstance(visualizer, TransformerMixin)
        self.assertIsInstance(visualizer, BaseEstimator)
        self.assertIsInstance(visualizer, Visualizer)

    # def test_interface(self):
    #     """
    #     Test the feature visualizer interface
    #     """
    #
    #     visualizer = TextVisualizer()
    #     with self.assertRaises(NotImplementedError):
    #         visualizer.poof()

项目：ibex 作者：atavory | 项目源码 | 文件源码

def _generate_bases_test(est, pd_est):
    def test(self):
        self.assertTrue(isinstance(pd_est, FrameMixin), pd_est)
        self.assertFalse(isinstance(est, FrameMixin))
        self.assertTrue(isinstance(pd_est, base.BaseEstimator))
        try:
            mixins = [
                base.ClassifierMixin,
                base.ClusterMixin,
                base.BiclusterMixin,
                base.TransformerMixin,
                base.DensityMixin,
                base.MetaEstimatorMixin,
                base.ClassifierMixin,
                base.RegressorMixin]
        except:
            if _sklearn_ver > 17:
                raise
            mixins = [
                base.ClassifierMixin,
                base.ClusterMixin,
                base.BiclusterMixin,
                base.TransformerMixin,
                base.MetaEstimatorMixin,
                base.ClassifierMixin,
                base.RegressorMixin]
        for mixin in mixins:
            self.assertEqual(
                isinstance(pd_est, mixin),
                isinstance(est, mixin),
                mixin)

    return test