feature_column_ops_test.py 文件源码

def testBucketizedColumn(self):
    bucket = tf.contrib.layers.bucketized_column(
        tf.contrib.layers.real_valued_column("price"),
        boundaries=[0., 10., 100.])
    with tf.Graph().as_default():
      # buckets 2, 3, 0
      features = {"price": tf.constant([[20.], [110], [-3]])}
      output, column_to_variable, _ = (
          tf.contrib.layers.weighted_sum_from_feature_columns(features,
                                                              [bucket],
                                                              num_outputs=1))
      with self.test_session() as sess:
        tf.initialize_all_variables().run()
        tf.initialize_all_tables().run()

        sess.run(column_to_variable[bucket][0].assign([[0.1], [0.2], [0.3], [0.4
                                                                            ]]))
        self.assertAllClose(output.eval(), [[0.3], [0.4], [0.1]])