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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2019/10/21 19:06:41 UTC

[GitHub] [incubator-mxnet] marfago commented on issue #16568: Different (not uniform) behavior in RMSE, MSE, MAE

marfago commented on issue #16568: Different (not uniform) behavior in RMSE,MSE,MAE
URL: https://github.com/apache/incubator-mxnet/issues/16568#issuecomment-544661258
 
 
   I think this is more a bug than a new feature, since different metrics are calculated with different methodology (mean of sample vs mean of means of samples) which does not make metrics conceptually interchangeable (if I want the calculate the global RMSE with the current implementation I should estimate all the predictions and then update the metric, while in the case of accuracy I can update it at every batch). My feeling is that Accuracy should reflect the way RMSE is calculated (mean of means). This should also be clarified a little bit in the documentation.

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