Make function signature consistent with docstring

doc/source/python/python_component.md

@@ -10,7 +10,7 @@ To wrap your machine learning model create a Class that has a predict method wit
     def predict(self, X: np.ndarray, names: Iterable[str], meta: Dict = None) -> Union[np.ndarray, List, str, bytes]:
 ```
 
-Your predict method will receive a numpy array `X` with iterable set f column names (if they exist in the input features) and optioal Dictionary of meta data. It should return the result of the prediction as either:
+Your predict method will receive a numpy array `X` with iterable set of column names (if they exist in the input features) and optional Dictionary of meta data. It should return the result of the prediction as either:
 
   * Numpy array
   * List of values
@@ -30,7 +30,7 @@ class MyModel(object):
         """
         print("Initializing")
 
-    def predict(self,X,features_names):
+    def predict(self, X, features_names=None):
         """
         Return a prediction.
 
@@ -54,7 +54,7 @@ You can also provide a method to return the column names for your prediction wit
 
 ### Examples
 
-  You can follow [various notebook examples](../examples/notebooks.html)
+  You can follow [various notebook examples](../examples/notebooks.html).
 
 ## Transformers
 
@@ -68,7 +68,7 @@ Seldon Core allows you to create components to transform features either in the
 
 ## Combiners
 
-Seldon Core allows yout to create components that combine responses from multiple models into a single response. To create a class for this add a method with signature below:
+Seldon Core allows you to create components that combine responses from multiple models into a single response. To create a class for this add a method with signature below:
 
 ```python
     def aggregate(self, features_list: List[Union[np.ndarray, str, bytes]], feature_names_list: List) -> Union[np.ndarray, List, str, bytes]:
@@ -169,7 +169,7 @@ If you want to handle custom exceptions define a field `model_error_handler` as
 ```python
     model_error_handler = flask.Blueprint('error_handlers', __name__)
 ```
-An example is as follow:
+An example is as follows:
 
 ```python
 """

doc/source/python/seldon_client.md

@@ -1,6 +1,6 @@
 # Seldon Python Client
 
-We provide an example python client for calling the API using REST or gRPC for internal mciroservice testing or for calling the public external API.
+We provide an example python client for calling the API using REST or gRPC for internal microservice testing or for calling the public external API.
 
 Examples of its use can be found in various notebooks:
 
@@ -14,7 +14,7 @@ from seldon_core.seldon_client import SeldonClient
 sc = SeldonClient(deployment_name="mymodel",namespace="seldon",gateway_endpoint="localhost:8003",gateway="ambassador")
 ```
 
-In the above we set our deployment_name to "mymodel" and the namespace to "seldon". For the full set of parameters see [here](api/seldon_core.html#seldon_core.seldon_client.SeldonClient)
+In the above we set our deployment_name to "mymodel" and the namespace to "seldon". For the full set of parameters see [here](api/seldon_core.html#seldon_core.seldon_client.SeldonClient).
 
 To make a REST call with a random payload: