message: Fix broken docs links to other TensorFlow interfaces in tf.contrib.learn.Experiment
diff: @@ -149,16 +149,16 @@ class Experiment(object):
  Args:
  estimator: Object implementing Estimator interface, which could be a
  - combination of ${tf.contrib.learn.Trainable} and
  - ${tf.contrib.learn.Evaluable} (deprecated), or
  - ${tf.estimator.`Estimator}.
  + combination of @{tf.contrib.learn.Trainable} and
  + @{tf.contrib.learn.Evaluable} (deprecated), or
  + @{tf.estimator.Estimator}.
  train_input_fn: function, returns features and labels for training.
  eval_input_fn: function, returns features and labels for evaluation. If
  `eval_steps` is `None`, this should be configured only to produce for a
  finite number of batches (generally, 1 epoch over the evaluation data).
  eval_metrics: `dict` of string, metric function. If `None`, default set
  is used. This should be `None` if the `estimator` is
  - ${tf.estimator.Estimator}. If metrics are provided they will be
  + @{tf.estimator.Estimator}. If metrics are provided they will be
  *appended* to the default set.
  train_steps: Perform this many steps of training. `None`, the default,
  means train forever.
  