movielens.py 文件源码

def _make_schema(columns, types, default_values):
  """Input schema definition.

  Args:
    columns: column names for fields appearing in input.
    types: column types for fields appearing in input.
    default_values: default values for fields appearing in input.
  Returns:
    feature_set dictionary of string to *Feature.
  """
  result = {}
  assert len(columns) == len(types)
  assert len(columns) == len(default_values)
  for c, t, v in zip(columns, types, default_values):
    if isinstance(t, list):
      result[c] = tf.VarLenFeature(dtype=t[0])
    else:
      result[c] = tf.FixedLenFeature(shape=[], dtype=t, default_value=v)
  return dataset_schema.from_feature_spec(result)