| bagging-class | Class "classifOutput": container for output of classification procedures in R | 
| baggingB | An interface to various machine learning methods for exprSets | 
| baggingB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| balKfold | support for cross-validatory machine learning with exprSets | 
| bclust-class | Class "classifOutput": container for output of classification procedures in R | 
| bclustB | An interface to various unsupervised machine learning methods for exprSets | 
| bclustB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| chkMLInterfaceProc | MLInterfaces infrastructure | 
| claraB | An interface to various unsupervised machine learning methods for exprSets | 
| claraB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| classbagg-class | Class "classifOutput": container for output of classification procedures in R | 
| classifOutput | Class "classifOutput": container for output of classification procedures in R | 
| classifOutput-class | Class "classifOutput": container for output of classification procedures in R | 
| clustOutput-class | Class "classifOutput": container for output of classification procedures in R | 
| cmeansB | An interface to various unsupervised machine learning methods for exprSets | 
| cmeansB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| confuMat | Methods for Function confuMat in Package `MLInterfaces' | 
| confuMat,classifOutput-method | Methods for Function confuMat in Package `MLInterfaces' | 
| confuMat-methods | Methods for Function confuMat in Package `MLInterfaces' | 
| cshell-class | Class "classifOutput": container for output of classification procedures in R | 
| cshellB | An interface to various unsupervised machine learning methods for exprSets | 
| cshellB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| cvB | An interface to various machine learning methods for exprSets | 
| cvB,exprSet,character-method | An interface to various machine learning methods for exprSets | 
| gbm-class | Class "classifOutput": container for output of classification procedures in R | 
| gbmB | An interface to various machine learning methods for exprSets | 
| gbmB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| getGrid | MLInterfaces infrastructure | 
| getVarImp | Class "varImpStruct" - collect data on variable importance  from various machine learning methods | 
| getVarImp,classifOutput-method | Class "varImpStruct" - collect data on variable importance  from various machine learning methods | 
| groupIndex-class | Class "classifOutput": container for output of classification procedures in R | 
| kmeans-class | Class "classifOutput": container for output of classification procedures in R | 
| kmeansB | An interface to various unsupervised machine learning methods for exprSets | 
| kmeansB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| knn1B | An interface to various machine learning methods for exprSets | 
| knn1B,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| knnB | An interface to various machine learning methods for exprSets | 
| knnB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| knnP | An interface to various machine learning methods for exprSets | 
| knnP-class | Class "classifOutput": container for output of classification procedures in R | 
| last.warning | An interface to various machine learning methods for exprSets | 
| lca-class | Class "classifOutput": container for output of classification procedures in R | 
| lcaB | An interface to various machine learning methods for exprSets | 
| lcaB,exprSet,numeric-method | An interface to various machine learning methods for exprSets | 
| lda-class | Class "classifOutput": container for output of classification procedures in R | 
| ldaB | An interface to various machine learning methods for exprSets | 
| ldaB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| logitboost-class | Class "classifOutput": container for output of classification procedures in R | 
| logitboostB | An interface to various machine learning methods for exprSets | 
| logitboostB,exprSet,character,integer,numeric-method | An interface to various machine learning methods for exprSets | 
| lvq1B | An interface to various machine learning methods for exprSets | 
| lvq1B,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| lvq2B | An interface to various machine learning methods for exprSets | 
| lvq2B,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| lvq3B | An interface to various machine learning methods for exprSets | 
| lvq3B,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| pam-class | Class "classifOutput": container for output of classification procedures in R | 
| pamB | An interface to various unsupervised machine learning methods for exprSets | 
| pamB,exprSet,numeric-method | An interface to various unsupervised machine learning methods for exprSets | 
| pamr-class | Class "classifOutput": container for output of classification procedures in R | 
| pamrB | An interface to various machine learning methods for exprSets | 
| pamrB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| planarPlot | Methods for Function planarPlot in Package `MLInterfaces' | 
| planarPlot,classifOutput,exprSet,character-method | Methods for Function planarPlot in Package `MLInterfaces' | 
| planarPlot-methods | Methods for Function planarPlot in Package `MLInterfaces' | 
| plot,varImpStruct-method | Class "varImpStruct" - collect data on variable importance  from various machine learning methods | 
| prcomp-class | Class "classifOutput": container for output of classification procedures in R | 
| predClass-class | Class "classifOutput": container for output of classification procedures in R | 
| predict.knnP | MLInterfaces infrastructure | 
| predLabels | An interface to various machine learning methods for exprSets | 
| predLabels,classifOutput-method | An interface to various machine learning methods for exprSets | 
| predLabels,MLOutput-method | An interface to various machine learning methods for exprSets | 
| print.knnP | MLInterfaces infrastructure | 
| probArray-class | Class "classifOutput": container for output of classification procedures in R | 
| probMat-class | Class "classifOutput": container for output of classification procedures in R | 
| show,classifOutput-method | Class "classifOutput": container for output of classification procedures in R | 
| show,membMat-method | An interface to various machine learning methods for exprSets | 
| show,MLOutput-method | An interface to various machine learning methods for exprSets | 
| show,probArray-method | An interface to various machine learning methods for exprSets | 
| show,probMat-method | An interface to various machine learning methods for exprSets | 
| show,qualScore-method | An interface to various machine learning methods for exprSets | 
| show,silhouetteVec-method | An interface to various machine learning methods for exprSets | 
| show,SOMBout-method | An interface to self-organizing map methods for exprSets | 
| show,somout-method | An interface to self-organizing map methods for exprSets | 
| show,varImpStruct-method | Class "varImpStruct" - collect data on variable importance  from various machine learning methods | 
| silhouetteB | An interface to various unsupervised machine learning methods for exprSets | 
| silhouetteB,classifOutput-method | Class "classifOutput": container for output of classification procedures in R | 
| silhouetteVec-class | Class "classifOutput": container for output of classification procedures in R | 
| slda-class | Class "classifOutput": container for output of classification procedures in R | 
| sldaB | An interface to various machine learning methods for exprSets | 
| sldaB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| SOMB | An interface to self-organizing map methods for exprSets | 
| somB | An interface to self-organizing map methods for exprSets | 
| SOMB,exprSet,character-method | An interface to self-organizing map methods for exprSets | 
| somB,exprSet,character-method | An interface to self-organizing map methods for exprSets | 
| SOMBout-class | Class "classifOutput": container for output of classification procedures in R | 
| somout-class | An interface to self-organizing map methods for exprSets | 
| stat.diag.daB | An interface to various machine learning methods for exprSets | 
| stat.diag.daB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| svm-class | Class "classifOutput": container for output of classification procedures in R | 
| svmB | An interface to various machine learning methods for exprSets | 
| svmB,exprSet,character,integer-method | An interface to various machine learning methods for exprSets | 
| xval | support for cross-validatory machine learning with exprSets | 
| xval,exprSet,character,genericFunction,character,integer-method | support for cross-validatory machine learning with exprSets | 
| xval,exprSet,character,genericFunction,character,missing-method | support for cross-validatory machine learning with exprSets | 
| xval,exprSet,character,nonstandardGeneric,character,integer-method | support for cross-validatory machine learning with exprSets | 
| xval,exprSet,character,nonstandardGeneric,character,missing-method | support for cross-validatory machine learning with exprSets | 
| xval-methods | support for cross-validatory machine learning with exprSets |