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Posted to user@spark.apache.org by frol <fr...@gmail.com> on 2014/06/18 00:35:43 UTC

Why MLLib classes are so badly organized?

Can anybody explain WHY:

1) LabeledPoint is in regression/LabeledPoint.scala? This cause import
regression modules from classification modules.

2) Vector and SparseVector are in linalg? OK. GeneralizedLinearModel is in
regression/GeneralizedLinearAlgorithm.scala? Really? 

3) LinearModel is in regression.py (Python MLLib module), but also imported
from classification.py?



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