Update machine-learning-udf.md

Author: sidramadoss

articles/stream-analytics/machine-learning-udf.md

@@ -48,7 +48,7 @@ The following table describes each property of Azure ML Service functions in Str
 |Azure ML workspace|The Azure Machine Learning workspace you used to deploy your model as a web service.|
 |Deployments|The web service hosting your model.|
 |Function signature|The signature of your web service inferred from the API's schema specification. If your signature fails to load, check that you have provided sample input and output in your scoring script to automatically generate the schema.|
-|Number of parallel requests per partition|This is an advanced configuration to optimize high-scale throughput. This number represents the concurrent requests sent from each partition of your job to the web service. Jobs with six streaming units (SU) and lower have one partition. Jobs with 12 SUs have two partitions, 18 SUs have three partitions and so on.<br><br> For example, if your job has two partitions and you set this parameter to four, there will be eight concurrent requests from your job to your web service.|
+|Number of parallel requests per partition|This is an advanced configuration to optimize high-scale throughput. This number represents the concurrent requests sent from each partition of your job to the web service. Jobs with six streaming units (SU) and lower have one partition. Jobs with 12 SUs have two partitions, 18 SUs have three partitions and so on.<br><br> For example, if your job has two partitions and you set this parameter to four, there will be eight concurrent requests from your job to your web service. At this time of public preview, this value defaults to 20 and cannot be updated.|
 |Max batch count|This is an advanced configuration for optimizing high-scale throughput. This number represents the maximum number of events be batched together in a single request sent to your web service.|
 
 ## Supported input parameters
@@ -102,7 +102,7 @@ The following JSON is an example request:
 }
 ```
 
-### Create a pandas or PySpark DataFrame
+### Create a Pandas or PySpark DataFrame
 
 You can use the `WITH` clause to create a JSON serialized DataFrame that can be passed as input to your Azure Machine Learning UDF as shown below.