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1 change: 1 addition & 0 deletions CHANGELOG.rst
Original file line number Diff line number Diff line change
Expand Up @@ -14,6 +14,7 @@ CHANGELOG
* feature: Local Mode: Add support for intermediate output to a local directory.
* bug-fix: Update PyYAML version to avoid conflicts with docker-compose
* doc-fix: Correct the numbered list in the table of contents
* doc-fix: Add Airflow API documentation

1.16.1.post1
============
Expand Down
13 changes: 11 additions & 2 deletions doc/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -44,9 +44,9 @@ Reinforcement Learning
A managed environment for Reinforcement Learning training and hosting on Amazon SageMaker

.. toctree::
:maxdepth: 2
:maxdepth: 2

sagemaker.rl
sagemaker.rl

SageMaker First-Party Algorithms
--------------------------------
Expand All @@ -62,3 +62,12 @@ Amazon provides implementations of some common machine learning algortithms opti
factorization_machines
lda
ntm

Workflows
---------
SageMaker APIs to export configurations for creating and managing Airflow workflows.

.. toctree::
:maxdepth: 2

sagemaker.workflow.airflow
42 changes: 42 additions & 0 deletions doc/sagemaker.workflow.airflow.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,42 @@
Airflow
=======

training_config
---------------

.. autofunction:: sagemaker.workflow.airflow.training_config

tuning_config
-------------

.. autofunction:: sagemaker.workflow.airflow.tuning_config

model_config
------------

.. autofunction:: sagemaker.workflow.airflow.model_config

model_config_from_estimator
---------------------------

.. autofunction:: sagemaker.workflow.airflow.model_config_from_estimator

transform_config
----------------

.. autofunction:: sagemaker.workflow.airflow.transform_config

transform_config_from_estimator
-------------------------------

.. autofunction:: sagemaker.workflow.airflow.transform_config_from_estimator

deploy_config
-------------

.. autofunction:: sagemaker.workflow.airflow.deploy_config

deploy_config_from_estimator
----------------

.. autofunction:: sagemaker.workflow.airflow.deploy_config_from_estimator