RegSMO (original) (raw)


public class RegSMO
extends RegOptimizer
implements TechnicalInformationHandler
Implementation of SMO for support vector regression as described in :
A.J. Smola, B. Schoelkopf (1998). A tutorial on support vector regression.
BibTeX:
@misc{Smola1998,
author = {A.J. Smola and B. Schoelkopf},
note = {NeuroCOLT2 Technical Report NC2-TR-1998-030},
title = {A tutorial on support vector regression},
year = {1998}
}

Valid options are:
-P
The epsilon for round-off error.
(default 1.0e-12)
-L
The epsilon parameter in epsilon-insensitive loss function.
(default 1.0e-3)
-W
The random number seed.
(default 1)
Version: Revision:1.4Revision: 1.4 Revision:1.4
Author:
Remco Bouckaert (remco@cs.waikato.ac.nz,rrb@xm.co.nz)
See Also:
Serialized Form