perfEnsembleSvm: table of classification performances
In singha53/amritr: Accessory Functions Used by Amrit Singh
View source: R/supportFunc_ensembleSvm.R
Description
takes in predited weights and true labels and determines performance characterisitcs
Usage
1
2
perfEnsembleSvm(object, validation = "Mfold", M = M, iter = iter,
threads = threads, progressBar = TRUE)
Arguments
weights
are the predicted scores/probablities of test data
trubeLabels
are the true labels associated with the test data
direction
= "auto", ">", "<"
singha53/amritr documentation built on July 21, 2019, 3:46 p.m.
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View source: R/supportFunc_ensembleSvm.R
Description
takes in predited weights and true labels and determines performance characterisitcs
Usage
1 2 | perfEnsembleSvm(object, validation = "Mfold", M = M, iter = iter,
threads = threads, progressBar = TRUE)
|
Arguments
weights |
are the predicted scores/probablities of test data |
trubeLabels |
are the true labels associated with the test data |
direction |
= "auto", ">", "<" |
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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