How to set performance weights for crossentropy in patternnet?

I am training a patternnet on a two-class imbalanced training set, about 20/80.

The crossentropy function (when called directly) allows for specific performance weights to be assigned, and I want to use that to overweight penalties for the rare class.

However, I don't see how I can set performance weights when using crossentropy in a patternnet. I can assign net.performFcn to be 'crossentropy', and have two properties under net.performParam, 'regularization' and 'normalization'.

So, how can performance weights be specified?

Answer 1

[Greg Heath]

See both

help crossentropy

and

doc crossentropy

In the latter see the section on

perfWeights - performance weights

Hope this helps

*Thank you for formaly accepting my answer*

Greg