Merge pull request #3880 from raymondlaghaeian/patch-14

Update machine-learning-web-service-parameters.md

articles/machine-learning/machine-learning-web-service-parameters.md

@@ -22,7 +22,7 @@ An Azure Machine Learning web service is created by publishing an experiment tha
 
 A common example is setting up the [Reader][reader] module so that the user of the published web service can specify a different data source when the web service is accessed. Or configuring the [Writer][writer] module so that a different destination can be specified. Some other examples include changing the number of bits for the [Feature Hashing][feature-hashing] module or the number of desired features for the [Filter-Based Feature Selection][filter-based-feature-selection] module. 
 
-You can define Web Service Parameters and associate them with one or more module parameters, and you can specify whether they are required or optional. The user of the web service can then provide values for these parameters when the service is accessed and the module actions will be modified accordingly.
+You can define Web Service Parameters and associate them with one or more module parameters, and you can specify whether they are required or optional. The user of the web service can then provide values for these parameters when the service is accessed and the module actions will be modified at run time.
 
 [AZURE.INCLUDE [machine-learning-free-trial](../../includes/machine-learning-free-trial.md)]
 
@@ -89,4 +89,4 @@ For more information on accessing a Machine Learning web service, see [How to co
 [filter-based-feature-selection]: https://msdn.microsoft.com/library/azure/918b356b-045c-412b-aa12-94a1d2dad90f/
 [reader]: https://msdn.microsoft.com/library/azure/4e1b0fe6-aded-4b3f-a36f-39b8862b9004/
 [writer]: https://msdn.microsoft.com/library/azure/7a391181-b6a7-4ad4-b82d-e419c0d6522c/
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+