How to change the default range of hyperparameters in fitcecoc function?

Is it possible to change the default paramater search range of fitcecoc function? I am trying to find the optimal paramters for SVM in custom range to reduce computational time. For example, I am trying to set below range for following parameters.

BoxConstraint = Positive values log-scaled in the range [1e-3,10]

KernelScale = Positive values log-scaled in the range [1e-3,10]

KernelFunction ='gaussian', , and 'polynomial'

PolynomialOrder=[2,5]

Any suggestions in this regard would be highly appreciated.

Demo Example:

clc
clear all

load fisheriris
t = templateSVM();
results = fitcecoc(meas, species,'Learners',t,'OptimizeHyperparameters','auto',...
    'HyperparameterOptimizationOptions',struct('Optimizer',...
    'randomsearch'))

T=results.HyperparameterOptimizationResults

[Machine Learning Enthusiast]

@Don Mathis Can you please look at this?

[Don Mathis]

Walter Roberson's answer is correct. And then you pass 'params' as the value of the 'OptimizeHyperparameters' parameter.

https://www.mathworks.com/help/stats/fitcecoc.html?searchHighlight=fitcecoc&s_tid=srchtitle#d123e297982

[Machine Learning Enthusiast]

Thank you. How to change other parameters? For instance, for kernal functiion, I am trying to search only guassian and polynomial in the search space.

 Name: 'KernelFunction'
        Range: {'gaussian'  'linear'  'polynomial'}
         Type: 'categorical'
    Transform: 'none'
     Optimize: 0
     
     
       Name: 'Coding'
        Range: {'onevsall'  'onevsone'}
         Type: 'categorical'
    Transform: 'none'
     Optimize: 1

Answer 1

[Walter Roberson]

In the section https://www.mathworks.com/help/stats/fitcecoc.html#d123e297982

Set nondefault parameters by passing a vector of optimizableVariable objects that have nondefault values. For example,                        
load fisheriris
params = hyperparameters('fitcecoc',meas,species,'svm');
params(2).Range = [1e-4,1e6];

After you created params look at

{params.Name}

to see which variable is which, to know which one to set the Range for.

[Machine Learning Enthusiast]

Thank you. How to change other parameters? For instance, for kernal functiion, I am trying to search only guassian and polynomial in the search space.

 Name: 'KernelFunction'
        Range: {'gaussian'  'linear'  'polynomial'}
         Type: 'categorical'
    Transform: 'none'
     Optimize: 0
     
     
       Name: 'Coding'
        Range: {'onevsall'  'onevsone'}
         Type: 'categorical'
    Transform: 'none'
     Optimize: 1

[Walter Roberson]

I think you should be able to do

params(4).Range = {'gaussian', 'polynomial'};