Can anyone assist on how SVR is used in predicting values in a time series data considering the fact that training and testing in SVR is done sometimes randomly. I want to know the difference in how SVR is applied to time series data and cross-sectional data.
Check this link for some assistance:
https://www.google.com/search?rlz=1C1CHBF_enUS847US847&ei=9yIrXbGeN4a0tQaDhqLoDA&q=svr+training+time+series+for+prediction&oq=svr+training+time+series+for+prediction&gs_l=psy-ab.12...0.0..2628...0.0..0.0.0.......0......gws-wiz.N-qJ4BPSiBE
Best, D. Booth
Dear Hayatullahi Adeyemo ,
You should check some links below, It maybe helpful in your case (paper and code):
http://rpubs.com/prateekdaniels/msft
Conference Paper A Naïve Support Vector Regression Benchmark for the NN3 For...
http://vegas.informatik.uni-oldenburg.de/examples/prediction/svr_regression_turbine.html
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