Can I create an array of classification models?

I would like to use a loop to obtain an array of classification models, and then loop through this array, using this trained model one by one to make classification. Can I do that?

For example: I was working on SVM problems and doing the following things:

   for i = 1: 6
    mds(i) = fitcsvm(X, y, 'Standardize',true, 'KernelFunction', 'linear', 'boxconstraint', C, 'ClassNames', [0, 1]) ;
   end

I got error "You cannot assign to an object of class double using () indexing."

Answer 1

[Shivam Chaturvedi]

Hi Dejun,

As this is an object, there are 2 methods that you can try to make an array of the model object:

1. Append the new object to an existing list

ex:

models = [];
for i=1:6
  thisModel = fitcsvm(...);
  models = [models thisModel];
end

This will concatenate the 'thisModel' variable every time to the list giving you an array of models.

2. Use a cell array

For this, you would just need to replace

mds(i)

to

mds{i}

This should work ideally in its own. You can also initialize mds as:

mds = {}

before the start of the loop.