KBModel-class {kebabs} | R Documentation

## KeBABS Model Class

### Description

KeBABS Model Class

### Details

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

### Slots

`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

### Author(s)

Johannes Palme <kebabs@bioinf.jku.at>

### References

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.

[Package kebabs version 1.21.0 Index]