tf.estimator.VocabInfo

TensorFlow 1 version

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.

TensorFlow

tf

tf.audio

tf.autograph

tf.bitwise

tf.compat

tf.config

tf.data

tf.debugging

tf.distribute

tf.dtypes

tf.errors

tf.estimator

tf.experimental

tf.feature_column

tf.graph_util

tf.image

tf.initializers

tf.io

tf.keras

tf.linalg

tf.lite

tf.lookup

tf.losses

tf.math

tf.metrics

tf.nest

tf.nn

tf.optimizers

tf.quantization

tf.queue

tf.ragged

tf.random

tf.raw_ops

tf.saved_model

tf.sets

tf.signal

tf.sparse

tf.strings

tf.summary

tf.sysconfig

tf.test

tf.tpu

tf.train

tf.version

tf.xla

tf.estimator / VocabInfo

Classes

Functions