NeuralNetw​orkClassif​ication object not supported for code generation

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Luke Hubbard
Luke Hubbard 2022-4-5
回答： Ji Lee 2022-4-6
I trained a model using fitcnet() as follows:
mdl = fitcnet(trainTable,"Labels","Standardize",true,"Verbose",1)
I would like to see what the C/C++ code looks like so I tried
saveLearnerForCoder(mdl,'fitcnetCode')
but got the following error message:
First argument must be a classification, regression, or nearest neighbor searcher model supported for code generation.
Looking at https://www.mathworks.com/help/stats/savelearnerforcoder.html#bvclu99-Mdl models generated by fitcnet should work as they are ClassificationNeuralNetwork objects. Seems like a straightforward implementation. Why do I get that error?

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回答（1 个）

Ji Lee
Ji Lee 2022-4-6
MATLAB Coder code generation support for neural networks became available recently in R2022a:
https://www.mathworks.com/help/stats/release-notes.html?category=code_generation&rntext=&startrelease=R2021b&endrelease=R2022a&groupby=release&sortby=descending&searchHighlight=
That particular documentation link points to the documentation for the latest release (R2022a). If you are using R2021b, you'll want to examine the archived R2021b version of that documentation:
https://www.mathworks.com/help/releases/R2021b/stats/savelearnerforcoder.html?s_tid=doc_ta#bvclu99-2

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