[GitHub] VGalata commented on issue #7375: Can I set instance weight when training?

[GitBox <gi...@apache.org>]

VGalata commented on issue #7375: Can I set instance weight when training?
URL: https://github.com/apache/incubator-mxnet/issues/7375#issuecomment-348510309
 
 
   I am also interested in how I can weight the samples. I have a binary classification problem and I wanted to give the samples or classes different weights. Is there not other way than using a custom loss function? 
   
   Unfortunately, the [tutorial for the custom loss function](https://mxnet.incubator.apache.org/tutorials/r/CustomLossFunction.html) is not sufficient to see how to use this function in a different setup. Is there a way to fully replace `mx.symbol.<...>Output` without the need of additional steps afterwards to get the prediction? I would like to get model performance during training on a validation data set. Thus, I need the predictions during training and I do not know how to get them if I use `MakeLoss`.
   
   Any help is highly appreciated!

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