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Azzera filtri

predict future value using SVM regression

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I have a training set for 20 days. X is from 1:20 and Y is the corresponding response variable (say, data usage for 20 days). I want to predict data usage for the 21st day using SVM regression. I have trained model using tb=table(X,Y); Mdl = fitrsvm(tb,Y). Now how do I predict data value for 21st day?

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Shrestha Kumar
Shrestha Kumar il 29 Mag 2018
Hi Haneya,
Once the trained model is created you can use the predict function for predicting the values. For example -
Mdl=fitrsvm(tb,Y);
y = predict(Mdl,x); //where you can put x = 21 and get the output for 21st day.x can be an array also.
  1 Commento
Almost Artsy
Almost Artsy il 2 Mar 2019
Hi Shrestha, I've tried using the "predict" function. but it gives me the same value of output. can you help me solve this problem?
% Output %
yfit =
1.0e+0.3*
7.7353
7.6361
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312
7.6312

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