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weka.RegSMOImproved

weka.RegSMOImproved

Visibility: public Uploaded 03-12-2014 by Tom Becht Weka_3.7.12-SNAPSHOT 0 runs
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S.K. Shevade, S.S. Keerthi, C. Bhattacharyya, K.R.K. Murthy: Improvements to the SMO Algorithm for SVM Regression. In: IEEE Transactions on Neural Networks, 1999. S.K. Shevade, S.S. Keerthi, C. Bhattacharyya, K.R.K. Murthy (1999). Improvements to the SMO Algorithm for SVM Regression. Control Division, Dept. of Mechanical Engineering.

Parameters

LThe epsilon parameter in epsilon-insensitive loss function. (default 1.0e-3)default: 0.001
PThe epsilon for round-off error. (default 1.0e-12)default: 1.0E-12
TThe tolerance parameter for checking the stopping criterion. (default 0.001)default: 0.001
VUse variant 1 of the algorithm when true, otherwise use variant 2. (default true)default: true
WThe random number seed. (default 1)default: 1

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