Public API for tf.estimator.experimental namespace.
Classes
class InMemoryEvaluatorHook: Hook to run evaluation in training without a checkpoint. (deprecated)
class LinearSDCA: Stochastic Dual Coordinate Ascent helper for linear estimators. (deprecated)
class RNNClassifier: A classifier for TensorFlow RNN models. (deprecated)
class RNNEstimator: An Estimator for TensorFlow RNN models with user-specified head. (deprecated)
Functions
build_raw_supervised_input_receiver_fn(...): Build a supervised_input_receiver_fn for raw features and labels. (deprecated)
call_logit_fn(...): Calls logit_fn (experimental). (deprecated)
make_early_stopping_hook(...): Creates early-stopping hook. (deprecated)
make_stop_at_checkpoint_step_hook(...): Creates a proper StopAtCheckpointStepHook based on chief status. (deprecated)
stop_if_higher_hook(...): Creates hook to stop if the given metric is higher than the threshold. (deprecated)
stop_if_lower_hook(...): Creates hook to stop if the given metric is lower than the threshold. (deprecated)
stop_if_no_decrease_hook(...): Creates hook to stop if metric does not decrease within given max steps. (deprecated)
stop_if_no_increase_hook(...): Creates hook to stop if metric does not increase within given max steps. (deprecated)