resubLoss
Class: RegressionSVM
Resubstitution loss for support vector machine regression model
Syntax
L = resubLoss(mdl)
L = resubLoss(mdl,'LossFun',lossFun)
Description
returns the resubstitution loss for the support vector machine (SVM) regression model L
= resubLoss(mdl
)mdl
, using the training data stored in mdl.X
and corresponding response values stored in mdl.Y
.
specifies the loss function to use for the resubstitution loss computation.L
= resubLoss(mdl
,'LossFun',lossFun
)
Input Arguments
Output Arguments
Examples
More About
References
[1] Nash, W.J., T. L. Sellers, S. R. Talbot, A. J. Cawthorn, and W. B. Ford. "The Population Biology of Abalone (Haliotis species) in Tasmania. I. Blacklip Abalone (H. rubra) from the North Coast and Islands of Bass Strait." Sea Fisheries Division, Technical Report No. 48, 1994.
[2] Waugh, S. "Extending and Benchmarking Cascade-Correlation: Extensions to the Cascade-Correlation Architecture and Benchmarking of Feed-forward Supervised Artificial Neural Networks." University of Tasmania Department of Computer Science thesis, 1995.
[3] Clark, D., Z. Schreter, A. Adams. "A Quantitative Comparison of Dystal and Backpropagation." submitted to the Australian Conference on Neural Networks, 1996.
[4] Lichman, M. UCI Machine Learning Repository, [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.
Extended Capabilities
Version History
Introduced in R2015bSee Also
fitrsvm
| RegressionSVM
| resubPredict
| loss