learningsets-class: "learningsets"
In chbernau/CMA: Synthesis of microarray-based classification
Description
Slots
Methods
Author(s)
See Also
Description
An object returned from GenerateLearningsets
which is usually passed as arguments to GeneSelection,
tune and classification.
Slots
learnmatrix: A matrix of dimension niter x
ntrain. Each row contains the indices of those observations
representing the learningset for one iteration. If method =
CV, zeros appear due to rounding issues.
method:The method used to generate the learnmatrix,
s.GenerateLearningsets
ntrain:Number of observations in one learning set.If
method = CV, this number is not attained for all
iterations, due to rounding issues.
iter:Number of iterations (different learningsets)
that are stored in learnmatrix.
Methods
showUse show(learningsets-object) for brief information.
Author(s)
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
Christoph Bernau bernau@ibe.med.uni-muenchen.de
See Also
GenerateLearningsets, GeneSelection,
tune, classification
chbernau/CMA documentation built on May 17, 2019, 12:04 p.m.
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Description Slots Methods Author(s) See Also
Description
An object returned from GenerateLearningsets
which is usually passed as arguments to GeneSelection,
tune and classification.
Slots
learnmatrix:A matrix of dimension
niter x ntrain. Each row contains the indices of those observations representing the learningset for one iteration. Ifmethod = CV, zeros appear due to rounding issues.method:The method used to generate the
learnmatrix, s.GenerateLearningsetsntrain:Number of observations in one learning set.If
method = CV, this number is not attained for all iterations, due to rounding issues.iter:Number of iterations (different learningsets) that are stored in
learnmatrix.
Methods
showUse
show(learningsets-object)for brief information.
Author(s)
Martin Slawski ms@cs.uni-sb.de
Anne-Laure Boulesteix boulesteix@ibe.med.uni-muenchen.de
Christoph Bernau bernau@ibe.med.uni-muenchen.de
See Also
GenerateLearningsets, GeneSelection,
tune, classification
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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