I get a "Performance function replaced with squared error performance" warning when trying to set 'crossentropy' as the performance function.
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If I run the following code:
[x,t] = house_dataset;
net = fitnet(10);
net.performFcn = 'crossentropy';
[net,tr] = train(net,x,t);
I get this warning:
Warning: Performance function replaced with squared error performance.
> In trainlm>formatNet (line 155)
In trainlm (line 65)
In nntraining.setup (line 14)
In network/train (line 335)
How can I use 'crossentropy' as the performance function then?
Regards
1 Comment
Greg Heath
on 4 Aug 2017
1. Where did you find house_dataset?
It does not come with MATLAB17a
2. For classification
help patternnet
doc patternnet
Hope this helps
Greg
Answers (4)
Greg Heath
on 19 Apr 2016
Crossentropy is, theoretically, not appropriate for regression.
Classically, it is only used for classification and pattern-recognition. It's definition involves probability distribution functions and their logarithms.
That is not to say that it will not yield good answers for regression problems. Obviously I have never tried it and, one day when I get bored, I might tinker around with it.
Hope this helps.
If you think this answer is worth accepting, THANKS!
Greg
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Greg Heath
on 5 Aug 2017
Edited: Greg Heath
on 18 Jun 2019
If you insist on using CROSSENTROPY, try PATTERNNET.
Hope this helps.
Thank you for formally accepting my answer
Greg
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Alex
on 7 Apr 2016
It worked for me after adding
net.performParam.regularization = 0.1;
net.performParam.normalization = 'none';
Seems to be necessary when using cross entropy.
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Chinmay Maheshwari
on 2 Aug 2017
Any updates on it as i am also facing the same trouble. I am not to customize my performance function because of this Thanks in advance
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