PuTI

PuTI

fitcecoc with specified Box Contraint and Kernel Scale

Hello, I want to create an SVM model for multiclass classification, with specified hyperparameters: BoxContraint = 500 and KernelScale = 0.01 I triend using: cvpt = cvpartition(Y_train, "kFold", 5); fitcecoc(X_train,"class", "CVPartition",cvpt, "Coding","onevsone", "BoxContraint", 500, "KernelScale", 0.01) I get the following…

Temporary BugcrowdResearch cleanup bc-answers-cleanup-1783468423655

Temporary BugcrowdResearch cleanup for uploaded file 1849784. This question will be deleted immediately.Temporary BugcrowdResearch cleanup for uploaded file 1849784. This question will be deleted immediately. Temporary BugcrowdResearch cleanup for uploaded file 1849784. This question will be deleted immediately. bugcrowdresearch MATLAB Answers — New…

The latest in our company transformation

Amy Coleman, EVP and Chief People Officer, shared the following communication with employees today. When I stepped into this role, I promised to communicate more openly with you and share the “why” behind our decisions. Today we are eliminating around…

Access to ealier Matlab Versions

The 30-day trial Matlab only offers 2026a. I may need access to ealier versions. Does this license provide access to ealier versions?The 30-day trial Matlab only offers 2026a. I may need access to ealier versions. Does this license provide access…

Matlab/Simulink-Roadrunner Co-Simulation Problem with own Scenario

Dear all, I am using the Matlab/Simulink Roadrunner co-simulation example: “AutonomousEmergencyBrakingWithRoadRunnerScenarioExample”: with tool versions Matlab/Simulink R2024b and Roadrunner R2026a. I have created my own scenario, which I want to use in the same setup instead of the original scenario.…

Sparse gpuArray indexing limitations

When trying to extract a sub-matrix of a sparse gpuArray, I get, >> S=gpuArray(sprand(100,100,0.1)); >> S(1:5,1:5) Sparse gpuArray matrices only support referencing whole rows or whole columns. OK, but here, I am indexing a block of complete rows and get…