tf.contrib.learn.monitors.ExportMonitor.__init__()

Args:
  every_n_steps: Run monitor every N steps.
  export_dir: str, folder to export.
  input_fn: A function that takes no argument and returns a tuple of
    (features, targets), where features is a dict of string key to `Tensor`
    and targets is a `Tensor` that's currently not used (and so can be
    `None`).
  input_feature_key: String key into the features dict returned by
    `input_fn` that corresponds to the raw `Example` strings `Tensor` that
    the exported model will take as input. Can only be `None` if you're
    using a custom `signature_fn` that does not use the first arg
    (examples).
  exports_to_keep: int, number of exports to keep.
  signature_fn: Function that returns a default signature and a named
    signature map, given `Tensor` of `Example` strings, `dict` of `Tensor`s
    for features and `dict` of `Tensor`s for predictions.
  default_batch_size: Default batch size of the `Example` placeholder.

Raises:
  ValueError: If `input_fn` and `input_feature_key` are not both defined or
    are not both `None`.