tf.contrib.learn.monitors.NanLoss.step_begin(step) Overrides BaseMonitor.step_begin. When

tf.contrib.learn.monitors.SummarySaver.epoch_begin(epoch) Begin epoch. Args:

tf.contrib.learn.monitors.RunHookAdapterForMonitors.__init__(monitors)

tf.contrib.learn.monitors.ValidationMonitor.__init__(x=None, y=None, input_fn=None, batch_size=None, eval_steps=None, every_n_steps=100, metrics=None, early_stopping_rounds=None

tf.contrib.learn.monitors.CaptureVariable.step_begin(step) Overrides BaseMonitor.step_begin. When

class tf.contrib.learn.monitors.StopAtStep Monitor to request stop at a specified step.

tf.contrib.learn.monitors.SummarySaver.epoch_end(epoch) End epoch. Args:

tf.contrib.learn.monitors.ValidationMonitor.best_value Returns the best early stopping metric value found so far.

tf.contrib.learn.monitors.SummarySaver.__init__(summary_op, save_steps=100, output_dir=None, summary_writer=None, scaffold=None) Initializes

tf.contrib.learn.monitors.PrintTensor.__init__(tensor_names, every_n=100, first_n=1) Initializes a PrintTensor monitor.