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 Commento
Greg Heath
il 4 Ago 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
Risposte (4)
Greg Heath
il 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
0 Commenti
Greg Heath
il 5 Ago 2017
Modificato: Greg Heath
il 18 Giu 2019
If you insist on using CROSSENTROPY, try PATTERNNET.
Hope this helps.
Thank you for formally accepting my answer
Greg
0 Commenti
Alex
il 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.
0 Commenti
Chinmay Maheshwari
il 2 Ago 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
0 Commenti
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