What is the predict formula for fitrsvm (gaussian kernel) generated model?
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Using fitrsvm, I have generated a model from X and Y data:
mdl = fitrsvm(X,Y,'Standardize',true,...
'KernelFunction','gaussian','KernelScale','auto');
Given an input x, the predicted output using Matlab is:
y_expected=predict(mdl,x);
My attempt below at replicating 'predict' function does not yield the correct answer as y and y_expected do not agree.
y=mdl.Bias;
for i=1:length(mdl.Alpha)
xmxd=x-mdl.SupportVectors(i,:);
y=y + mdl.Alpha(i)*exp(-xmxd*xmxd'/2/mdl.KernelParameters.Scale);
end
y
What is the underlying formula behind the predict function in this case? I need it to write equivalent java code from parameters in the mdl model.
1 Kommentar
sanjeev kumar T M
am 12 Aug. 2018
Hello, Actually i tried with the predictive formula given above but am not able to get the result what am getting using predict function. if any one help me regarding this please. what formula i have to use because i want to use the model in microcontroller to validate. am using 4 predictors and am using gaussian kernel
Antworten (2)
the cyclist
am 18 Mai 2016
5 Kommentare
the cyclist
am 19 Mai 2016
The best form of thanks is upvoting and/or accepting an answer that you find helpful. This rewards the contributor, and points future users to helpful answers.
antlhem
am 29 Mai 2021
Could take a look into my question? https://uk.mathworks.com/matlabcentral/answers/842800-why-matlab-svr-is-not-working-for-exponential-data-and-works-well-with-data-that-fluctuates?s_tid=prof_contriblnk
sanjeev kumar T M
am 12 Aug. 2018
Hello, Actually i tried with the predictive formula given above but am not able to get the result what am getting using predict function. if any one help me regarding this please. what formula i have to use because i want to use the model in microcontroller to validate.
Thanks,
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