built-in support for ealy stopping in tensorflow estimator -


is there built-in stopping function in tensorflow? check hooks provided tf.estimator, don't find anything. or need implement myself?

@maxime, experiment works！　here part of code, in case interest in answer. there feature in contrib, maynot stable.

config = tf.contrib.learn.runconfig(model_dir=flags.train_dir) # config = config.replace(sess_config=sess_config) tf.logging.set_verbosity(logging.info) validation_monitor = monitors.validationmonitor(     input_fn=functools.partial(input_fn, subset="evaluation"),     eval_steps=128,     every_n_steps=101,     early_stopping_metric="accuracy",     early_stopping_rounds = 1000 ) run_monitors = [validation_monitor] tf.contrib.learn.learn_runner.run(     get_experiment_fn(train_input_fn=functools.partial(input_fn,subset="training"),                       eval_input_fn=functools.partial(input_fn,subset="evaluation"),                       train_steps=flags.train_steps,                       eval_steps=100,                       train_hooks=run_monitors,                       model_fn=model_fn_cnn                       ),     run_config = config )

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