I can not use Estimator from tf.estimator package TF 1.3 about transform HOT 5 CLOSED

       estimator = tf.estimator.LinearClassifier(feature_columns=[weighted_reviews],
                                        n_classes=LABEL_SIZE,
                                        model_dir=output_dir,
                                        config=tf.contrib.learn.RunConfig(save_checkpoints_steps=100))

       transformed_metadata = metadata_io.read_metadata(transformed_metadata_dir)
       raw_metadata = metadata_io.read_metadata(raw_metadata_dir)

       train_input_fn = input_fn_maker.build_training_input_fn(
         transformed_metadata,
         transformed_train_filepattern,
         training_batch_size=TRAIN_BATCH_SIZE,
         label_keys=[LABEL_COLUMN])

       eval_input_fn = input_fn_maker.build_training_input_fn(
         transformed_metadata,
         transformed_test_filepattern,
         training_batch_size=1,
         label_keys=[LABEL_COLUMN])

       serving_input_fn = input_fn_maker.build_default_transforming_serving_input_fn(
         raw_metadata=raw_metadata,
         transform_savedmodel_dir=transform_fn_dir + "/transform_fn",
         raw_label_keys=[],
         raw_feature_keys=[KEYWORDS_COLUMN])

       export_strategy = saved_model_export_utils.make_export_strategy(
         serving_input_fn,
         exports_to_keep=5,
         default_output_alternative_key=None)

       max_steps = MAX_STEPS if MAX_STEPS > 0 else \
         TRAIN_NUM_EPOCHS * NUM_TRAIN_INSTANCES / TRAIN_BATCH_SIZE

       return tf.contrib.learn.Experiment(
         estimator=estimator,
         train_steps=max_steps,
         eval_steps=NUM_TEST_INSTANCES,
         train_input_fn=train_input_fn,
         eval_input_fn=eval_input_fn,
         export_strategies=export_strategy,
         min_eval_frequency=5)