Github user srowen commented on the issue:

    https://github.com/apache/spark/pull/13516
  
    I think the Spark documentation should focus on how to use SVMs and LR in 
Spark, with the occasional practical note. This is quite theoretical in 
comparison, and the kind of thing someone should look for in complete 
references on these methods. That is, these notes aren't specific to Spark or 
particularly helpful in understanding how to use these methods. I don't think 
it will mean much to the large majority of readers of these docs.


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