ensemble.splsda: Build ensemble sPLSDA classification panel
In singha53/amritr: Accessory Functions Used by Amrit Singh
View source: R/supportFunc_ensemble.splsda.R
Description
takes in predited weights and true labels and determines performance characterisitcs
Usage
1
2
ensemble.splsda(X.train, Y.train, keepXList, ncomp, X.test, Y.test, filter,
topranked)
Arguments
X.train
- list of training datasets (nxpi); i number of elements
Y.train
- n-vector of class labels
ncomp
= Number of components
X.test
- list of test datasets (nxpi); i number of elements
Y.test
- n-vector of class labels
keepList
= list of keepX
singha53/amritr documentation built on July 21, 2019, 3:46 p.m.
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View source: R/supportFunc_ensemble.splsda.R
Description
takes in predited weights and true labels and determines performance characterisitcs
Usage
1 2 | ensemble.splsda(X.train, Y.train, keepXList, ncomp, X.test, Y.test, filter,
topranked)
|
Arguments
X.train |
- list of training datasets (nxpi); i number of elements |
Y.train |
- n-vector of class labels |
ncomp |
= Number of components |
X.test |
- list of test datasets (nxpi); i number of elements |
Y.test |
- n-vector of class labels |
keepList |
= list of keepX |
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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