KBModel-class: KeBABS Model Class
In kebabs: Kernel-Based Analysis Of Biological Sequences

KeBABS Model Class

Instances of this class represent a model object for the KeBABS meta-SVM.

call: invocation string of KeBABS meta-SVM
numSequences: number of sequences used for training
sel: index subset of samples used for training
y: vector of target values
levels: levels of target
numClasses: number of classes
classNames: class labels
classWeights: class weights
SV: support vectors
svIndex: support vector indices
alphaIndex: list of SVM indices per SVM
trainingFeatures: feature names used in training
featureWeights: feature Weights
b: model offset
probA: fitted logistic function parameter A
probB: fitted logistic function parameter A
sigma: scale of Laplacian fitted to regression residuals
cvResult: cross validation result of class CrossValidationResult
modelSelResult: model selection / grid search result of class ModelSelectionResult
ctlInfo: KeBABS control info of class ControlInformation
svmInfo: info about requested / used SVM of class SVMInformation
svmModel: original model returned from SVM

Johannes Palme <kebabs@bioinf.jku.at>

http://www.bioinf.jku.at/software/kebabs

J. Palme, S. Hochreiter, and U. Bodenhofer (2015) KeBABS: an R package for kernel-based analysis of biological sequences. Bioinformatics, 31(15):2574-2576, 2015. DOI: 10.1093/bioinformatics/btv176.

kebabs documentation built on Nov. 8, 2020, 7:38 p.m.