Updated link to Vowpal Wabbit docs

Author: jcodella

articles/cognitive-services/personalizer/concept-active-learning.md

@@ -26,7 +26,7 @@ Learn [how to](how-to-manage-model.md#import-a-new-learning-policy) import and e
 
 The settings in the learning policy aren't intended to be changed. Change settings only if you understand how they affect Personalizer. Without this knowledge, you could cause problems, including invalidating Personalizer models.
 
-Personalizer uses [vowpalwabbit](https://github.com/VowpalWabbit) to train and score the events. Refer to the [vowpalwabbit documentation](https://github.com/VowpalWabbit/vowpal_wabbit/wiki/Command-line-arguments) on how to edit the learning settings using vowpalwabbit. Once you have the correct command line arguments, save the command to a file with the following format (replace the arguments property value with the desired command) and upload the file to import learning settings in the **Model and Learning Settings** pane in the Azure portal for your Personalizer resource.
+Personalizer uses [vowpalwabbit](https://github.com/VowpalWabbit) to train and score the events. Refer to the [vowpalwabbit documentation](https://vowpalwabbit.org/docs/vowpal_wabbit/python/latest/command_line_args.html) on how to edit the learning settings using vowpalwabbit. Once you have the correct command line arguments, save the command to a file with the following format (replace the arguments property value with the desired command) and upload the file to import learning settings in the **Model and Learning Settings** pane in the Azure portal for your Personalizer resource.
 
 The following `.json` is an example of a learning policy.