# Learn (contrib)
[TOC]

High level API for learning with TensorFlow.

## Estimators

Train and evaluate TensorFlow models.

*   `tf.contrib.learn.BaseEstimator`
*   `tf.contrib.learn.Estimator`
*   `tf.contrib.learn.Trainable`
*   `tf.contrib.learn.Evaluable`
*   `tf.contrib.learn.KMeansClustering`
*   `tf.contrib.learn.ModeKeys`
*   `tf.contrib.learn.ModelFnOps`
*   `tf.contrib.learn.MetricSpec`
*   `tf.contrib.learn.PredictionKey`
*   `tf.contrib.learn.DNNClassifier`
*   `tf.contrib.learn.DNNRegressor`
*   `tf.contrib.learn.DNNLinearCombinedRegressor`
*   `tf.contrib.learn.DNNLinearCombinedClassifier`
*   `tf.contrib.learn.LinearClassifier`
*   `tf.contrib.learn.LinearRegressor`
*   `tf.contrib.learn.LogisticRegressor`

## Distributed training utilities

*   `tf.contrib.learn.Experiment`
*   `tf.contrib.learn.ExportStrategy`
*   `tf.contrib.learn.TaskType`

## Graph actions

Perform various training, evaluation, and inference actions on a graph.

*   `tf.train.NanLossDuringTrainingError`
*   `tf.contrib.learn.RunConfig`
*   `tf.contrib.learn.evaluate`
*   `tf.contrib.learn.infer`
*   `tf.contrib.learn.run_feeds`
*   `tf.contrib.learn.run_n`
*   `tf.contrib.learn.train`

## Input processing

Queue and read batched input data.

*   `tf.contrib.learn.extract_dask_data`
*   `tf.contrib.learn.extract_dask_labels`
*   `tf.contrib.learn.extract_pandas_data`
*   `tf.contrib.learn.extract_pandas_labels`
*   `tf.contrib.learn.extract_pandas_matrix`
*   `tf.contrib.learn.infer_real_valued_columns_from_input`
*   `tf.contrib.learn.infer_real_valued_columns_from_input_fn`
*   `tf.contrib.learn.read_batch_examples`
*   `tf.contrib.learn.read_batch_features`
*   `tf.contrib.learn.read_batch_record_features`

Export utilities

*   `tf.contrib.learn.build_parsing_serving_input_fn`
*   `tf.contrib.learn.ProblemType`