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MLInterfaces (version 1.48.0)
Uniform interfaces to R machine learning procedures for data in Bioconductor containers
Description
Uniform interfaces to machine learning code for data in Bioconductor containers
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1.52.0
1.50.0
1.48.0
1.46.0
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Version
1.48.0
License
LGPL
Maintainer
Vince Carey
Last Published
January 1st, 1970
Functions in MLInterfaces (1.48.0)
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fsHistory
extract history of feature selection for a cross-validated machine learner
learnerSchema-class
Class "learnerSchema" -- convey information on a machine learning function to the MLearn wrapper
xvalSpec
container for information specifying a cross-validated machine learning exercise
planarPlot-methods
Methods for Function planarPlot in Package `MLInterfaces'
predict.classifierOutput
Predict method for
classifierOutput
objects
balKfold.xvspec
generate a partition function for cross-validation, where the partitions are approximately balanced with respect to the distribution of a response variable
classifierOutput-class
Class "classifierOutput"
MLIntInternals
MLInterfaces infrastructure
performance-analytics
Assessing classifier performance
RAB
real adaboost (Friedman et al)
raboostCont-class
Class "raboostCont" ~~~
confuTab
Compute confusion tables for a confusion matrix.
fs.absT
support for feature selection in cross-validation
varImpStruct-class
Class "varImpStruct" -- collect data on variable importance from various machine learning methods
xvalLoop
Cross-validation in clustered computing environments