validation during training of Estimator

Question

With the TensorFlow r1.3 monitors are deprecated:

\"2016-12-05\", \"Monitors are deprecated. Please use tf.train.SessionRunHook.\") and Estimator.train(input_f

Answer 1

I have been using SummarySaverHook instead of Monitors. They are not "as powerful" just yet, and the training material has not been updated with a description on how exactly replicate the Monitor functionality.

Here is how i use it:

summary_hook = tf.train.SummarySaverHook(
    save_steps=SAVE_EVERY_N_STEPS,
    output_dir='./tmp/rnnStats',
    scaffold=tf.train.Scaffold(),
    summary_op=tf.summary.merge_all())

print("Classifier.train")
classifier.train(input_fn=train_input_fn, steps=1000, hooks=[summary_hook])