Github user huangjs commented on the pull request:
https://github.com/apache/spark/pull/3099#issuecomment-63083266
Just a question. I'm comparing your example code to the scikit-learn
examples in the design document. Looks like it's difficult for me to turn a
configuration (data) to a pipeline without writing too much code.
Here I need to call a bunch of setXXX methods to specify the parameters
while in scikit-learn I just need a Map.
One important scenario is loading the pipeline and parameters from a
configuration file without the need to recompile my code.
Can I do that?
Jianshi
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