wkSVMObj-class: An S4 class containing a weighted kernel SVM classfication...
In SkadiEye/ITRlearn: Individualized Treatment Rule Learning
Description
An S4 class containing a weighted kernel SVM classfication model
Slots
alphaParameter alpha in the fitted model.
biasThe bias term in the kernel SVM model.
fittedA numeric number, indicating the loss on the validation set
kernel.fA character string that specifies the kernel function.
XPredictors from the training set.
YResponse from the training set.
supportSupport vectors from the training set.
n.supportNumber of support vectors.
labelA character vector of length two, binary class labels.
See Also
wClsObj-class
RegObj-class
ModelObj-class
ModelEnsembleObj-class
cvGrid-class
cvKfold-class
workflow-class
SkadiEye/ITRlearn documentation built on May 24, 2019, 1:31 a.m.
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Description
An S4 class containing a weighted kernel SVM classfication model
Slots
alphaParameter alpha in the fitted model.
biasThe bias term in the kernel SVM model.
fittedA numeric number, indicating the loss on the validation set
kernel.fA character string that specifies the kernel function.
XPredictors from the training set.
YResponse from the training set.
supportSupport vectors from the training set.
n.supportNumber of support vectors.
labelA character vector of length two, binary class labels.
See Also
wClsObj-class
RegObj-class
ModelObj-class
ModelEnsembleObj-class
cvGrid-class
cvKfold-class
workflow-class
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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