Github user mengxr commented on the pull request:

    https://github.com/apache/spark/pull/372#issuecomment-40333887
  
    @srowen I think we will have a generic `PredictiveModel[INPUT,OUTPUT]` base 
class for both `RegressionModel` and `ClassificationModel`. I agree that we 
should have classification models returning a distribution over labels. Thanks 
for bringing this up! In the current logistic regression and SVM 
implementation, the default threshold is set at 0.5 and 0.0 respectively to 
return exact labels instead of scores, which I don't really like.


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