Function Reference

    Canned Estimators

    linear_regressor() linear_classifier()

    Construct a Linear Estimator

    dnn_regressor() dnn_classifier()

    Deep Neural Networks

    dnn_linear_combined_regressor() dnn_linear_combined_classifier()

    Linear Combined Deep Neural Networks

    boosted_trees_regressor() boosted_trees_classifier()

    Boosted Trees Estimator

    Estimator Methods

    train(<tf_estimator>)

    Train an Estimator

    predict(<tf_estimator>)

    Generate Predictions with an Estimator

    evaluate(<tf_estimator>)

    Evaluate an Estimator

    export_savedmodel(<tf_estimator>)

    Save an Estimator

    Input Function

    input_fn()

    Construct an Input Function

    numpy_input_fn()

    Construct Input Function Containing Python Dictionaries of Numpy Arrays

    Feature Columns

    feature_columns()

    Feature Columns

    input_layer()

    Construct an Input Layer

    column_categorical_with_vocabulary_list()

    Construct a Categorical Column with In-Memory Vocabulary

    column_categorical_with_vocabulary_file()

    Construct a Categorical Column with a Vocabulary File

    column_categorical_with_identity()

    Construct a Categorical Column that Returns Identity Values

    column_categorical_with_hash_bucket()

    Represents Sparse Feature where IDs are set by Hashing

    column_categorical_weighted()

    Construct a Weighted Categorical Column

    column_indicator()

    Represents Multi-Hot Representation of Given Categorical Column

    column_numeric()

    Construct a Real-Valued Column

    column_embedding()

    Construct a Dense Column

    column_crossed()

    Construct a Crossed Column

    column_bucketized()

    Construct a Bucketized Column

    Custom Estimators

    estimator()

    Construct a Custom Estimator

    estimator_spec()

    Define an Estimator Specification

    Run Hooks

    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

    session_run_hook()

    Create Custom Session Run Hooks

    Run Configuration

    run_config()

    Run Configuration

    task_type()

    Task Types

    Estimator Keys

    mode_keys()

    Canonical Mode Keys

    metric_keys()

    Canonical Metric Keys

    prediction_keys()

    Canonical Model Prediction Keys

    Parsing Utilities

    regressor_parse_example_spec()

    Generates Parsing Spec for TensorFlow Example to be Used with Regressors

    classifier_parse_example_spec()

    Generates Parsing Spec for TensorFlow Example to be Used with Classifiers

    Other Utilities

    graph_keys()

    Standard Names to Use for Graph Collections

    latest_checkpoint()

    Get the Latest Checkpoint in a Checkpoint Directory