Defined in tensorflow/python/estimator/api/estimator/__init__.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 BaselineClassifier
: A classifier that can establish a simple baseline.
class BaselineRegressor
: A regressor that can establish a simple baseline.
class BestExporter
: This class exports the serving graph and checkpoints of the best models.
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 tf.estimator.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
.