Weighted euclidean loss #5775

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Hi,

I propose weighted euclidean loss layer. I think it might be very useful, for example it can naturally handle missing labeling data in training of regression models.

This layer has additional input ("bottom") which should correspond 1 by 1 with labels. Values in this additional input represents label "weight"

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shaibagon commented Jul 26, 2017

Thank you for this contribution. There are a few things you can do to improve it, though

  1. Please squash your commits into a single one.
  2. Please fix lint errors (type make lint to see these error).
  3. Make sure your PR passes the Travis automatic tests.

Thanks,

Thanks @shaibagon . I am working on the fixes

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