An input function for use with TensorFlow Estimators

tf_input_function.py

def my_input_fn(file_path, perform_shuffle=False, repeat_count=1):
   def decode_csv(line):
       parsed_line = tf.decode_csv(line, [[0.], [0.], [0.], [0.], [0]])
       label = parsed_line[-1:] # Last element is the label
       del parsed_line[-1] # Delete last element
       features = parsed_line # Everything (but last element) are the features
       d = dict(zip(feature_names, features)), label
       return d

   dataset = (tf.data.TextLineDataset(file_path) # Read text file
       .skip(1) # Skip header row
       .map(decode_csv)) # Transform each elem by applying decode_csv fn
   if perform_shuffle:
       # Randomizes input using a window of 256 elements (read into memory)
       dataset = dataset.shuffle(buffer_size=256)
   dataset = dataset.repeat(repeat_count) # Repeats dataset this # times
   dataset = dataset.batch(32)  # Batch size to use
   iterator = dataset.make_one_shot_iterator()
   batch_features, batch_labels = iterator.get_next()
   return batch_features, batch_labels