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Cross -validation implemented in the the nprtool

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Yogini Prabhu
Yogini Prabhu il 24 Mag 2021
Risposto: SM il 12 Gen 2022
Please let know how is Cross -validation implemented in the the code of classification of patterns at nprtool (Deep Learning Toolbox)?
  4 Commenti
John D'Errico
John D'Errico il 30 Mag 2021
Why ask the exact same question twice? PLEASE DON"T DO IT A THIRD TIME.
Yogini Prabhu
Yogini Prabhu il 3 Giu 2021
Hi John,
I am sorry for repeating my question multiple times,
I was in urgent need of the query resolution,
and at time of submitting the Q, I might of encountered network error.
so I might have repeared the action such that at least one of Q is uploaded.
However, capitals is shouting (now as per rules of Q&A too).

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Risposte (3)

Rishik Ramena
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
Walter Roberson
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
Yogini Prabhu il 30 Mag 2021
okay! question is corrected as above with accuracy.
what about the answer?

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Walter Roberson
Walter Roberson il 4 Giu 2021
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
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.
Have a look at this link, you may find it useful.


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