Why is the Score Transform lost when using "saveCompactModel"?
7 visualizzazioni (ultimi 30 giorni)
Mostra commenti meno recenti
MathWorks Support Team
il 30 Nov 2018
Modificato: MathWorks Support Team
il 9 Gen 2019
I simply modified the MATLAB fisheriris example at:
to add "fitSVMPosterior". As you can see in this example the score transform is lost after "loadCompactModel". Is there a reason it does not save the score transform for deployment?
Code example:
load fisheriris
inds = ~strcmp(species,'setosa');
X = meas(inds,:);
Y = species(inds);
Mdl = fitcsvm(X,Y);
MdlScore=fitSVMPosterior(Mdl);
saveCompactModel(MdlScore,'SVMIris');
And then when I do this,
loadCompactModel('SVMIris')
I get the following warning message:
Warning: Unable to restore ScoreTransform property. Call
fitSVMPosterior to fit posterior probabilities.
> In classreg.learning.classif.CompactClassificationSVM.fromStruct (line 296)
In classreg.coderutils.structToModel (line 50)
In loadCompactModel (line 30)
Risposta accettata
MathWorks Support Team
il 9 Gen 2019
One of the limitations of using "saveCompactModel" to save an SVM model with capabilities to predict posterior probabilities is that "loadCompactModel" cannot restore the 'ScoreTransform' property to the MATLAB Workspace.
However, while preforming code generation, "loadCompactModel" is able to load the model along with the 'ScoreTransform' property at compile time within an entry function, and hence should function properly.
For more information on such limitations on various model objects while using "loadCompactModel", please refer to the documentation link below:
0 Commenti
Più risposte (0)
Vedere anche
Categorie
Scopri di più su Classification Ensembles in Help Center e File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!