Module: tf.estimator.experimental

Public API for tf.estimator.experimental namespace.

Aliases:

  • Module tf.compat.v2.estimator.experimental

Classes

class InMemoryEvaluatorHook: Hook to run evaluation in training without a checkpoint.

class LinearSDCA: Stochastic Dual Coordinate Ascent helper for linear estimators.

class RNNClassifier金铨达配资: A classifier for TensorFlow RNN models.

class RNNEstimator金铨达配资: An Estimator for TensorFlow RNN models with user-specified head.

Functions

build_raw_supervised_input_receiver_fn(...)金铨达配资: Build a supervised_input_receiver_fn for raw features and labels.

call_logit_fn(...)金铨达配资: 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(...)金铨达配资: 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.

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