MLearn-methods          Methods for Function MLearn in Package
                        'MLInterfaces'
RAB                     real adaboost (Friedman et al) (and discrete
                        adaboost (DAB))
SOMB                    An interface to self-organizing map methods for
                        ExpressionSets
chkMLInterfaceProc      MLInterfaces infrastructure
classifOutput-class     Class "classifOutput": container for output of
                        classification procedures in R
clustOutput-class       Class "clustOutput" container for cluster
                        analysis results
confuMat-methods        Methods for Function confuMat in Package
                        'MLInterfaces'
hclustB                 An interface to various unsupervised machine
                        learning methods for ExpressionSets
knnB                    An interface to various machine learning
                        methods for ExpressionSets
planarPlot-methods      Methods for Function planarPlot in Package
                        'MLInterfaces'
raboostCont-class       Class "raboostCont" ~~~
varImpStruct-class      Class "varImpStruct" -- collect data on
                        variable importance from various machine
                        learning methods
xval-methods            support for cross-validatory machine learning
                        with ExpressionSets
xvalLoop                Cross-validation in clustered computing
                        environments
xvalLoop-methods        Cross-validation in clustered computing
                        environments
