svm: Soft margin SVM
In ant-stephenson/lhc: LHC Higgs Boson Classification Challenge
Description
Fit a soft margin support vector machine for binary classification.
Usage
1
Arguments
X
An nxd matrix with samples as rows and features as columns.
y
A length-n vector of -1s and 1s indicating true sample classes.
C
Regularisation parameter.
ant-stephenson/lhc documentation built on Jan. 28, 2021, 3:47 p.m.
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Description
Fit a soft margin support vector machine for binary classification.
Usage
1 |
Arguments
X |
An nxd matrix with samples as rows and features as columns. |
y |
A length-n vector of -1s and 1s indicating true sample classes. |
C |
Regularisation parameter. |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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