def _predict_input_fn():
   feature_map = parsing_ops.parse_example(
       input_lib.limit_epochs(serialized_examples, num_epochs=1),
       feature_spec)
   features = linear_testing_utils.queue_parsed_features(feature_map)
   features.pop('y')
   return features, None
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 def _predict_input_fn():
     feature_map = parsing_ops.parse_example(
         input_lib.limit_epochs(serialized_examples, num_epochs=1),
         feature_spec)
     features = linear_testing_utils.queue_parsed_features(feature_map)
     features.pop('y')
     return features, None
 def _train_input_fn():
   feature_map = parsing_ops.parse_example(serialized_examples, feature_spec)
   features = linear_testing_utils.queue_parsed_features(feature_map)
   labels = features.pop('y')
   return features, labels
Esempio n. 4
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 def _train_input_fn():
     feature_map = parsing_ops.parse_example(serialized_examples,
                                             feature_spec)
     features = linear_testing_utils.queue_parsed_features(feature_map)
     labels = features.pop('y')
     return features, labels