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()。
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()
def test_subclass(self):
"""
Assert the text visualizer is subclassed correctly
"""
visualizer = TextVisualizer()
self.assertisinstance(visualizer, Visualizer)
# def test_interface(self):
# """
# Test the feature visualizer interface
# """
#
# visualizer = TextVisualizer()
# with self.assertRaises(NotImplementedError):
# visualizer.poof()
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.RegressorMixin]
for mixin in mixins:
self.assertEqual(
isinstance(pd_est, mixin),
isinstance(est,
mixin)
return test
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