Cross -validation implemented in the the nprtool
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Please let know how is Cross -validation implemented in the the code of classification of patterns at nprtool (Deep Learning Toolbox)?
4 Commenti
Yogini Prabhu
il 30 Mag 2021
John D'Errico
il 30 Mag 2021
Why ask the exact same question twice? PLEASE DON"T DO IT A THIRD TIME.
Yogini Prabhu
il 3 Giu 2021
Risposte (3)
Rishik Ramena
il 26 Mag 2021
Modificato: Rishik Ramena
il 27 Mag 2021
If you want to check the implementations of uncompiled matlab functions, use the type command from the MATLAB command window. For the nprtool,
type nprtool
But this wouldn't work for compiled in-built functions.
3 Commenti
Yogini Prabhu
il 29 Mag 2021
Modificato: Yogini Prabhu
il 30 Mag 2021
Walter Roberson
il 29 Mag 2021
Shallow neural networks do not exist in the Statistics and Machine Learning toolbox; they are only in the Deep Learning Toolbox (which used to be named the Neural Network toolbox)
Yogini Prabhu
il 30 Mag 2021
Walter Roberson
il 4 Giu 2021
0 voti
nprtool uses traincsg(), which does not do cross-validation.
Therefore the answer to how Cross-Validation (CV) is done with nprtool is that CV is not done for nprtool.
SM
il 12 Gen 2022
0 voti
Hi,
I think nprtool default cross-validation techniuqe is "hold out". It seems that for k-fold cross validation you should export the script and modify it.
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