composable_model_test.py 文件源码

def testLinearModel(self):
    """Tests that loss goes down with training."""

    def input_fn():
      return {
          'age': tf.constant([1]),
          'language': tf.SparseTensor(values=['english'],
                                      indices=[[0, 0]],
                                      shape=[1, 1])
      }, tf.constant([[1]])

    language = tf.contrib.layers.sparse_column_with_hash_bucket('language', 100)
    age = tf.contrib.layers.real_valued_column('age')

    target_column = layers.multi_class_target(n_classes=2)
    classifier = LinearEstimator(target_column,
                                 feature_columns=[age, language])

    classifier.fit(input_fn=input_fn, steps=1000)
    loss1 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
    classifier.fit(input_fn=input_fn, steps=2000)
    loss2 = classifier.evaluate(input_fn=input_fn, steps=1)['loss']
    self.assertLess(loss2, loss1)
    self.assertLess(loss2, 0.01)