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MLInterfaces (version 1.46.0)

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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Version

Version

1.46.0

License

LGPL

Maintainer

Vince Carey

Last Published

February 15th, 2017

Functions in MLInterfaces (1.46.0)

fsHistory

extract history of feature selection for a cross-validated machine learner
predict.classifierOutput

Predict method for classifierOutput objects
planarPlot-methods

Methods for Function planarPlot in Package `MLInterfaces'
xvalSpec

container for information specifying a cross-validated machine learning exercise
learnerSchema-class

Class "learnerSchema" -- convey information on a machine learning function to the MLearn wrapper
confuTab

Compute confusion tables for a confusion matrix.
fs.absT

support for feature selection in cross-validation
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"
RAB

real adaboost (Friedman et al)
raboostCont-class

Class "raboostCont" ~~~
MLIntInternals

MLInterfaces infrastructure
performance-analytics

Assessing classifier performance
xvalLoop

Cross-validation in clustered computing environments
varImpStruct-class

Class "varImpStruct" -- collect data on variable importance from various machine learning methods