docs: add yaml serializer to serializers.rst

Author: kostahuffman

README.rst

@@ -166,7 +166,7 @@ How does it work
 Aiocache provides 3 main entities:
 
 - **backends**: Allow you specify which backend you want to use for your cache. Currently supporting: SimpleMemoryCache, RedisCache using redis_ and MemCache using aiomcache_.
-- **serializers**: Serialize and deserialize the data between your code and the backends. This allows you to save any Python object into your cache. Currently supporting: StringSerializer, PickleSerializer, JsonSerializer, and MsgPackSerializer. But you can also build custom ones.
+- **serializers**: Serialize and deserialize the data between your code and the backends. This allows you to save any Python object into your cache. Currently supporting: StringSerializer, PickleSerializer, JsonSerializer, MsgPackSerializer, and YamlSerializer. But you can also build custom ones.
 - **plugins**: Implement a hooks system that allows to execute extra behavior before and after of each command.
 
  If you are missing an implementation of backend, serializer or plugin you think it could be interesting for the package, do not hesitate to open a new issue.

docs/serializers.rst

@@ -54,6 +54,14 @@ MsgPackSerializer
 .. autoclass:: aiocache.serializers.MsgPackSerializer
   :members:
 
+..  _yamlserializer:
+
+YamlSerializer
+--------------
+
+.. autoclass:: aiocache.serializers.YamlSerializer
+  :members:
+
 In case the current serializers are not covering your needs, you can always define your custom serializer as shown in ``examples/serializer_class.py``:
 
 .. literalinclude:: ../examples/serializer_class.py
@@ -66,4 +74,4 @@ You can also use marshmallow as your serializer (``examples/marshmallow_serializ
   :language: python
   :linenos:
 
-By default cache backends assume they are working with ``str`` types. If your custom implementation transform data to bytes, you will need to set the class attribute ``encoding`` to ``None``.
+By default cache backends assume they are working with ``str`` types. If your custom implementation transform data to bytes, you will need to set the class attribute ``encoding`` to ``None``.