R: Interface to 'TensorFlow' Estimators

# Interface to 'TensorFlow' Estimators

## Documentation for package ‘tfestimators’ version 1.9.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

tfestimators-package | High-level Estimator API in TensorFlow for R
boosted_trees_classifier | Boosted Trees Estimator
boosted_trees_estimators | Boosted Trees Estimator
boosted_trees_regressor | 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_classifier | Deep Neural Networks
dnn_estimators | Deep Neural Networks
dnn_linear_combined_classifier | Linear Combined Deep Neural Networks
dnn_linear_combined_estimators | Linear Combined Deep Neural Networks
dnn_linear_combined_regressor | Linear Combined Deep Neural Networks
dnn_regressor | Deep Neural Networks
estimator | Construct a Custom Estimator
estimators | Base Documentation for Canned Estimators
estimator_spec | Define an Estimator Specification
evaluate.tf_estimator | Evaluate an Estimator
eval_spec | Configuration for the eval component of 'train_and_evaluate'
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_fn.data.frame | Construct an Input Function
input_fn.default | Construct an Input Function
input_fn.formula | Construct an Input Function
input_fn.list | Construct an Input Function
input_fn.matrix | 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_classifier | Construct a Linear Estimator
linear_estimators | Construct a Linear Estimator
linear_regressor | Construct a Linear Estimator
metric_keys | Canonical Metric Keys
model_dir | Model directory
mode_keys | Canonical Mode Keys
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
scoped_columns | Establish a Feature Columns Selection Scope
session_run_args | Create Session Run Arguments
session_run_hook | Create Custom Session Run Hooks
set_columns | Establish a Feature Columns Selection Scope
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 | Get variable names and values associated with an estimator
variable_names_values | Get variable names and values associated with an estimator
variable_value | Get variable names and values associated with an estimator
with_columns | Establish a Feature Columns Selection Scope