[Serve] RayServe TF, PyTorch, Sklearn Examples (#8156)

doc/source/rayserve/tutorials/sklearn-tutorial.rst

@@ -0,0 +1,51 @@
+.. _serve-sklearn-tutorial:
+
+Scikit-Learn Tutorial
+=====================
+
+In this guide, we will train and deploy a simple Scikit-Learn classifier.
+In particular, we show:
+
+- How to load the model from file system in your RayServe definition
+- How to parse the JSON request and evaluated in sklearn model
+
+Please see the :ref:`overview <rayserve-overview>` to learn more general information about RayServe.
+
+RayServe supports :ref:`arbitrary frameworks <serve_frameworks>`. You can use any version of sklearn.
+
+.. code-block:: bash
+
+    pip install scikit-learn
+
+Let's import RayServe and some other helpers.
+
+.. literalinclude:: ../../../../python/ray/serve/examples/doc/tutorial_sklearn.py
+    :start-after: __doc_import_begin__
+    :end-before: __doc_import_end__
+
+We will train a logistic regression with the iris dataset.
+
+.. literalinclude:: ../../../../python/ray/serve/examples/doc/tutorial_sklearn.py
+    :start-after: __doc_train_model_begin__
+    :end-before: __doc_train_model_end__
+
+Services are just defined as normal classes with ``__init__`` and ``__call__`` methods.
+The ``__call__`` method will be invoked per request.
+
+.. literalinclude:: ../../../../python/ray/serve/examples/doc/tutorial_sklearn.py
+    :start-after: __doc_define_servable_begin__
+    :end-before: __doc_define_servable_end__
+
+Now that we've defined our services, let's deploy the model to RayServe. We will
+define an :ref:`endpoint <serve-endpoint>` for the route representing the classifier task, a
+:ref:`backend <serve-backend>` correspond the physical implementation, and connect them together.
+
+.. literalinclude:: ../../../../python/ray/serve/examples/doc/tutorial_sklearn.py
+    :start-after: __doc_deploy_begin__
+    :end-before: __doc_deploy_end__
+
+Let's query it!
+
+.. literalinclude:: ../../../../python/ray/serve/examples/doc/tutorial_sklearn.py
+    :start-after: __doc_query_begin__
+    :end-before: __doc_query_end__