boosted_trees_estimators
                        Boosted Trees Estimator
classifier_parse_example_spec
                        Generates Parsing Spec for TensorFlow Example
                        to be Used with Classifiers
column-scope            Establish a Feature Columns Selection Scope
column_base             Base Documentation for Feature Column
                        Constructors
column_bucketized       Construct a Bucketized Column
column_categorical_weighted
                        Construct a Weighted Categorical Column
column_categorical_with_hash_bucket
                        Represents Sparse Feature where IDs are set by
                        Hashing
column_categorical_with_identity
                        Construct a Categorical Column that Returns
                        Identity Values
column_categorical_with_vocabulary_file
                        Construct a Categorical Column with a
                        Vocabulary File
column_categorical_with_vocabulary_list
                        Construct a Categorical Column with In-Memory
                        Vocabulary
column_crossed          Construct a Crossed Column
column_embedding        Construct a Dense Column
column_indicator        Represents Multi-Hot Representation of Given
                        Categorical Column
column_numeric          Construct a Real-Valued Column
dnn_estimators          Deep Neural Networks
dnn_linear_combined_estimators
                        Linear Combined Deep Neural Networks
estimator               Construct a Custom Estimator
estimator_spec          Define an Estimator Specification
estimators              Base Documentation for Canned Estimators
eval_spec               Configuration for the eval component of
                        'train_and_evaluate'
evaluate.tf_estimator   Evaluate an Estimator
experiment              Construct an Experiment
export_savedmodel.tf_estimator
                        Save an Estimator
feature_columns         Feature Columns
graph_keys              Standard Names to Use for Graph Collections
hook_checkpoint_saver   Saves Checkpoints Every N Steps or Seconds
hook_global_step_waiter
                        Delay Execution until Global Step Reaches to
                        'wait_until_step'.
hook_history_saver      A Custom Run Hook for Saving Metrics History
hook_logging_tensor     Prints Given Tensors Every N Local Steps, Every
                        N Seconds, or at End
hook_nan_tensor         NaN Loss Monitor
hook_progress_bar       A Custom Run Hook to Create and Update Progress
                        Bar During Training or Evaluation
hook_step_counter       Steps per Second Monitor
hook_stop_at_step       Monitor to Request Stop at a Specified Step
hook_summary_saver      Saves Summaries Every N Steps
input_fn                Construct an Input Function
input_layer             Construct an Input Layer
keras_model_to_estimator
                        Keras Estimators
latest_checkpoint       Get the Latest Checkpoint in a Checkpoint
                        Directory
linear_estimators       Construct a Linear Estimator
metric_keys             Canonical Metric Keys
mode_keys               Canonical Mode Keys
model_dir               Model directory
numpy_input_fn          Construct Input Function Containing Python
                        Dictionaries of Numpy Arrays
plot.tf_estimator_history
                        Plot training history
predict.tf_estimator    Generate Predictions with an Estimator
prediction_keys         Canonical Model Prediction Keys
regressor_parse_example_spec
                        Generates Parsing Spec for TensorFlow Example
                        to be Used with Regressors
run_config              Run Configuration
session_run_args        Create Session Run Arguments
session_run_hook        Create Custom Session Run Hooks
task_type               Task Types
tfestimators            High-level Estimator API in TensorFlow for R
train-evaluate-predict
                        Base Documentation for train, evaluate, and
                        predict.
train.tf_estimator      Train an Estimator
train_and_evaluate.tf_estimator
                        Train and evaluate the estimator.
train_spec              Configuration for the train component of
                        'train_and_evaluate'
variable_names_values   Get variable names and values associated with
                        an estimator
