Module: tf.estimator

Defined in tensorflow/tools/api/generator/api/estimator/__init__.py.

Imports for Python API.

This file is MACHINE GENERATED! Do not edit. Generated by: tensorflow/tools/api/generator/create_python_api.py script.

Modules

export module: Imports for Python API.

inputs module: Imports for Python API.

Classes

class BaselineClassifier: A classifier that can establish a simple baseline.

class BaselineRegressor: A regressor that can establish a simple baseline.

class BoostedTreesClassifier: A Classifier for Tensorflow Boosted Trees models.

class BoostedTreesRegressor: A Regressor for Tensorflow Boosted Trees models.

class DNNClassifier: A classifier for TensorFlow DNN models.

class DNNLinearCombinedClassifier: An estimator for TensorFlow Linear and DNN joined classification models.

class DNNLinearCombinedRegressor: An estimator for TensorFlow Linear and DNN joined models for regression.

class DNNRegressor: A regressor for TensorFlow DNN models.

class Estimator: Estimator class to train and evaluate TensorFlow models.

class EstimatorSpec: Ops and objects returned from a model_fn and passed to an Estimator.

class EvalSpec: Configuration for the "eval" part for the train_and_evaluate call.

class Exporter: A class representing a type of model export.

class FinalExporter: This class exports the serving graph and checkpoints in the end.

class LatestExporter: This class regularly exports the serving graph and checkpoints.

class LinearClassifier: Linear classifier model.

class LinearRegressor: An estimator for TensorFlow Linear regression problems.

class ModeKeys: Standard names for model modes.

class RunConfig: This class specifies the configurations for an Estimator run.

class TrainSpec: Configuration for the "train" part for the train_and_evaluate call.

class VocabInfo: Vocabulary information for warm-starting.

class WarmStartSettings: Settings for warm-starting in Estimators.

Functions

classifier_parse_example_spec(...): Generates parsing spec for tf.parse_example to be used with classifiers.

regressor_parse_example_spec(...): Generates parsing spec for tf.parse_example to be used with regressors.

train_and_evaluate(...): Train and evaluate the estimator.

Other Members

__cached__

__loader__

__spec__