tf.contrib.learn.DNNClassifier.predict()

Args:
  x: features.
  input_fn: Input function. If set, x must be None.
  batch_size: Override default batch size.
  as_iterable: If True, return an iterable which keeps yielding predictions
    for each example until inputs are exhausted. Note: The inputs must
    terminate if you want the iterable to terminate (e.g. be sure to pass
    num_epochs=1 if you are using something like read_batch_features).

Returns:
  Numpy array of predicted classes (or an iterable of predicted classes if
  as_iterable is True).