Module: tf.estimator

Defined in tensorflow/python/estimator/estimator_lib.py.

Estimator: High level tools for working with models.

Modules

export module: Utility methods for exporting Estimator.

inputs module: Utility methods to create simple input_fns.

Classes

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.

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.