MLearn                  revised MLearn interface for machine learning
RAB                     real adaboost (Friedman et al)
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"
clusteringOutput-class
                        container for clustering outputs in uniform
                        structure
confuMat-methods        Compute the confusion matrix for a classifier.
confuTab                Compute confusion tables for a confusion
                        matrix.
fs.absT                 support for feature selection in
                        cross-validation
fsHistory               extract history of feature selection for a
                        cross-validated machine learner
getGrid                 MLInterfaces infrastructure
hclustWidget            shiny-oriented GUI for cluster or classifier
                        exploration
learnerSchema-class     Class "learnerSchema" - convey information on a
                        machine learning function to the MLearn wrapper
planarPlot-methods      Methods for Function planarPlot in Package
                        'MLInterfaces'
plspinHcube             shiny app for interactive 3D visualization of
                        mlbench hypercube
precision-methods       Assessing classifier performance
predict.classifierOutput
                        Predict method for 'classifierOutput' objects
projectLearnerToGrid    create learned tesselation of feature space
                        after PC transformation
projectedLearner-class
                        Class '"projectedLearner"'
raboostCont-class       Class "raboostCont" ~~~
varImpStruct-class      Class "varImpStruct" - collect data on variable
                        importance from various machine learning
                        methods
xvalLoop                Cross-validation in clustered computing
                        environments
xvalSpec                container for information specifying a
                        cross-validated machine learning exercise