Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/7058#issuecomment-116968393
Hmm. Scikit-learn has a `copy` argument in most of the model constructors
to avoid this. Imagine a person feeding huge amounts of data to find all of
them overwritten. But that's lesser of a concern here because the input data is
mostly in the form of RDD's and DataFrames. We can always fix it when it is
reported as broke :P
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