Github user actuaryzhang commented on the issue:

    https://github.com/apache/spark/pull/16344
  
    @srowen @yanboliang Thanks much for the feedback. I now have a better 
understanding of the code and the issue. I have made new commits reflecting 
your suggestions. The major changes are summarized below:
    
    - Create new method `fromModel` in the `Family` object to get the desired 
family object by accessing the `GeneralizedLinearRegressionBase` object 
directly. This solves the main challenge of setting the variancePower of the 
Tweedie family. The old `fromName` method is deleted since we now need both 
`name` and `variancePower`. 
    - Create `TweedieFamily` as new subclass of `family`. This class 
encompasses the special cases of Gaussian, Poisson and Gamma, which can be 
handled together using the general formula based on variancePower. 
    
    Please let me know if there are any other issues. Thanks.
    



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