TensorFlow 1 version
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Public API for tf.estimator.experimental namespace.
Classes
class InMemoryEvaluatorHook: Hook to run evaluation in training without a checkpoint.
class LinearSDCA: Stochastic Dual Coordinate Ascent helper for linear estimators.
class RNNClassifier: A classifier for TensorFlow RNN models.
class RNNEstimator: An Estimator for TensorFlow RNN models with user-specified head.
Functions
build_raw_supervised_input_receiver_fn(...): Build a supervised_input_receiver_fn for raw features and labels.
call_logit_fn(...): Calls logit_fn (experimental).
make_early_stopping_hook(...): Creates early-stopping hook.
make_stop_at_checkpoint_step_hook(...): Creates a proper StopAtCheckpointStepHook based on chief status.
stop_if_higher_hook(...): Creates hook to stop if the given metric is higher than the threshold.
stop_if_lower_hook(...): Creates hook to stop if the given metric is lower than the threshold.
stop_if_no_decrease_hook(...): Creates hook to stop if metric does not decrease within given max steps.
stop_if_no_increase_hook(...): Creates hook to stop if metric does not increase within given max steps.