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Add sklearn and random cut forest to sdk docs #576

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10 changes: 10 additions & 0 deletions doc/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -48,6 +48,15 @@ A managed environment for PyTorch training and hosting on Amazon SageMaker

sagemaker.pytorch

Scikit-learn
------------
A managed environment for Scikit-learn training and hosting on Amazon SageMaker

.. toctree::
:maxdepth: 2

sagemaker.sklearn

Chainer
-------
A managed environment for Chainer training and hosting on Amazon SageMaker
Expand Down Expand Up @@ -80,6 +89,7 @@ Amazon provides implementations of some common machine learning algortithms opti
factorization_machines
lda
ntm
randomcutforest
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this also needs a corresponding file. or just remove the added line because earlier today I did try to make files for all the missing 1P algos in #575

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@laurenyu I didn't see #575 ...this PR should be closed in favor of that one.


Workflows
---------
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26 changes: 26 additions & 0 deletions doc/sagemaker.sklearn.rst
Original file line number Diff line number Diff line change
@@ -0,0 +1,26 @@
Scikit-learn
=======

Scikit-learn Estimator
----------------------

.. autoclass:: sagemaker.sklearn.estimator.SKLearn
:members:
:undoc-members:
:show-inheritance:

Scikit-learn Model
------------------

.. autoclass:: sagemaker.sklearn.model.SKLearnModel
:members:
:undoc-members:
:show-inheritance:

Scikit-learn Predictor
----------------------

.. autoclass:: sagemaker.sklearn.model.SKLearnPredictor
:members:
:undoc-members:
:show-inheritance: