如何更新代码？

Question

我正在运行https://github.com/tensorflow/tensorflow/blob/master/tensorflow/examples/tutorials/layers/cnn_mnist.py的代码。它具有以下代码：

mnist_classifier.fit(
  x=train_data,
  y=train_labels,
  batch_size=100,
  steps=20000,
  monitors=[logging_hook])
eval_results = mnist_classifier.evaluate(
  x=eval_data, y=eval_labels, metrics=metrics)

但是有一些关于mnist_classifier.fit（）和mnist_classifier.evaluate（）的弃用参数（x，y，batch_size）的警告。那么，调用这两个函数的新方法是什么？

部分警告：

WARNING:tensorflow:From mnist.py:109: calling BaseEstimator.evaluate (from 
tensorflow.contrib.learn.python.learn.estimators.estimator) with x is 
deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
  est = Estimator(...) -> est = SKCompat(Estimator(...))
WARNING:tensorflow:From mnist.py:109: calling BaseEstimator.evaluate (from 
tensorflow.contrib.learn.python.learn.estimators.estimator) with y is 
deprecated and will be removed after 2016-12-01.
Instructions for updating:
Estimator is decoupled from Scikit Learn interface by moving into
separate class SKCompat. Arguments x, y and batch_size are only
available in the SKCompat class, Estimator will only accept input_fn.
Example conversion:
  est = Estimator(...) -> est = SKCompat(Estimator(...))