Learn R Programming
⚠️There's a newer version (1.52.0) of this package.Take me there.

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

Copy Link

Version

Version

1.48.0

License

LGPL

Maintainer

Vince Carey

Last Published

February 15th, 2017

Functions in MLInterfaces (1.48.0)

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