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 |