Loop machine learning algorithm functions

I want to create a loop where multiple different machine learning models are created with the same input and output.

Lets say the input is:

x = [1 1 1 1 2 2 2 2 3 3 3 3]

and the output is:

y = categorical(["dog" "dog" "dog" "dog" "cat" "cat" "cat" "cat" "bird" "bird" "bird" "bird"])

I want to fit a KNN, SVM and a Decision Tree classifier. Instead of specifying:

A1 = fitcknn(x,y)

A2 = fitcecoc(x,y)

A3 = fitctree(x,y)

Instead of the above I want to create a loop going over the functions {fitcknn fitcecoc fitctree}

I tried something like this:

for classifier = [fitcknn fitcecoc fitctree]

A = classifier(x,y)

end

Answer 1

[Voss]

funcs = {@fitcknn @fitcecoc @fitctree};
n_funcs_given = numel(funcs);

A = cell(1,n_funcs_given);
for i = 1:n_funcs_given
    A{i} = funcs{i}(x,y);
end

[yanqi liu]

yes，sir，it is great method

clc; clear all; close all;
x = [1 1 1 1 2 2 2 2 3 3 3 3];
y = categorical(["dog" "dog" "dog" "dog" "cat" "cat" "cat" "cat" "bird" "bird" "bird" "bird"]);

funcs = {@fitcknn @fitcecoc @fitctree};
n_funcs_given = numel(funcs);

A = cell(1,n_funcs_given);
for i = 1:n_funcs_given
    A{i} = funcs{i}(x(:),y(:));
end
A

A = 1×3 cell array
    {1×1 ClassificationKNN}    {1×1 ClassificationECOC}    {1×1 ClassificationTree}