Kfold                   for given n, generate a K-fold partition of 1:n
MLearn-methods          Methods for Function MLearn in Package
                        'MLInterfaces'
MLearn_new              revised MLearn interface for machine learning
RAB                     real adaboost (Friedman et al)
SOMB                    An interface to self-organizing map methods for
                        ExpressionSets
balKfold.xvspec         generate a partition function for
                        cross-validation, where the partitions are
                        approximately balanced with respect to the
                        distribution of a response variable
chkMLInterfaceProc      MLInterfaces infrastructure
classifOutput-class     Class "classifOutput": container for output of
                        classification procedures in R
classifierOutput-class
                        Class "classifierOutput"
clustOutput-class       Class "clustOutput" container for cluster
                        analysis results
confuMat-methods        Compute the confusion matrix for a classifier.
fs.absT                 support for feature selection in
                        cross-validation
fsHistory               extract history of feature selection for a
                        cross-validated machine learner
hclustB                 An interface to various unsupervised machine
                        learning methods for ExpressionSets
knnB                    An interface to various machine learning
                        methods for ExpressionSets
learnerSchema-class     Class "learnerSchema" -- convey information on
                        a machine learning function to the MLearn
                        wrapper
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
xvalSpec                container for information specifying a
                        cross-validated machine learning exercise
