message: Minor fixes to the get started doc.
diff: @@ -357,7 +357,7 @@ my_feature_columns = [
  ### Select the type of model
  -We need the select the kind of model that will be trained.
  +We need to select the kind of model that will be trained.
  Lots of model types exist; picking the ideal type takes experience.
  We've selected a neural network to solve the Iris problem. [**Neural
  networks**](https://developers.google.com/machine-learning/glossary/#neural_network)
  @@ -655,7 +655,9 @@ calls as follows:
  ```python
  predictions = classifier.predict(
  - input_fn=lambda:eval_input_fn(predict_x, batch_size=args.batch_size))
  + input_fn=lambda:eval_input_fn(predict_x,
  + labels=None,
  + batch_size=args.batch_size))
  ```
  As with the `evaluate` method, our `predict` method also gathers examples
  