Entry: MLIclust
Aliases: hclustB agnesB dianaB pamB bclustB trainInds silhouetteB claraB distMat fannyB isoMDSB cmeansB cshellB kmeansB agnesB,exprSet,numeric-method bclustB,exprSet,numeric-method claraB,exprSet,numeric-method cmeansB,exprSet,numeric-method hclustB,exprSet,numeric,missing-method hclustB,exprSet,numeric,ANY-method hclustB,exprSet,missing,numeric-method cshellB,exprSet,numeric-method dianaB,exprSet,numeric-method fannyB,exprSet,numeric-method kmeansB,exprSet,numeric-method pamB,exprSet,numeric-method
Keywords: classif
Description: An interface to various unsupervised machine learning methods for exprSets
URL: ../../../library/MLInterfaces/html/MLIclust.html

Entry: MLIntInternals
Aliases: chkMLInterfaceProc getGrid makeCVFunc newGroupIndex newMembMat newPredClass newProbArray newProbMat newQualScore newSilhouetteVec predict.knnP print.knnP wrapClust
Keywords: classif
Description: MLInterfaces infrastructure
URL: ../../../library/MLInterfaces/html/MLIntInternals.html

Entry: MLearn-methods
Aliases: MLearn-methods MLearn MLearn,character,exprSet,character,numeric-method MLearn,formula,data.frame,character,numeric-method
Keywords: methods
Description: unified interface to machine learning methods
URL: ../../../library/MLInterfaces/html/MLearn-methods.html

Entry: SOMB
Aliases: SOMB somB somB,exprSet,character-method SOMB,exprSet,character-method show,SOMBout-method show,somout-method somout-class
Keywords: cluster
Description: An interface to self-organizing map methods for exprSets
URL: ../../../library/MLInterfaces/html/SOMB.html

Entry: classifOutput-class
Aliases: classifOutput classifOutput-class agnes-class bagging-class bclust-class classbagg-class clustOutput-class cshell-class diana-class dist-class fclust-class gbm-class groupIndex-class hclust-class ica-class ipredknn-class kmeans-class knnP-class lca-class lda-class logitboost-class membMat-class MLLabel-class MLOutput-class MLScore-class naiveBayes-class nnet.formula-class nsc-class pam-class pamr-class prcomp-class predClass-class probArray-class probMat-class qda-class qualScore-class randomForest-class rpart-class silhouetteVec-class slda-class SOMBout-class svm-class show,classifOutput-method silhouetteB,classifOutput-method
Keywords: classes
Description: Class "classifOutput": container for output of classification procedures in R
URL: ../../../library/MLInterfaces/html/classifOutput-class.html

Entry: confuMat-methods
Aliases: confuMat confuMat-methods confuMat,classifOutput-method
Keywords: methods classif
Description: Methods for Function confuMat in Package 'MLInterfaces'
URL: ../../../library/MLInterfaces/html/confuMat-methods.html

Entry: knnB
Aliases: allClass stat.diag.daB stat.diag.daB,exprSet,character,integer-method cvB knn1B knnP lcaB logitboostB lvq2B lvq3B olvq1B predLabels RObject knnB nnetB lvq1B naiveBayesB svmB baggingB ipredknnB sldaB ldaB qdaB pamrB rpartB randomForestB gbmB allClass,classifOutput-method cvB,exprSet,character-method predLabels,MLOutput-method predLabels,classifOutput-method last.warning distMat,MLOutput-method RObject,MLOutput-method trainInds,classifOutput-method show,probMat-method show,probArray-method show,membMat-method show,qualScore-method show,silhouetteVec-method show,MLOutput-method baggingB,exprSet,character,integer-method gbmB,exprSet,character,integer-method ipredknnB,exprSet,character,integer-method knn1B,exprSet,character,integer-method knnB,exprSet,character,integer-method lcaB,exprSet,numeric-method ldaB,exprSet,character,integer-method logitboostB,exprSet,character,integer,numeric-method lvq1B,exprSet,character,integer-method lvq2B,exprSet,character,integer-method lvq3B,exprSet,character,integer-method naiveBayesB,exprSet,character,integer-method nnetB,exprSet,character,integer-method olvq1B,exprSet,character,integer-method pamrB,exprSet,character,integer-method qdaB,exprSet,character,integer-method randomForestB,exprSet,character,integer-method rpartB,exprSet,character,integer-method sldaB,exprSet,character,integer-method svmB,exprSet,character,integer-method
Keywords: classif
Description: An interface to various machine learning methods for exprSets
URL: ../../../library/MLInterfaces/html/knnB.html

Entry: planarPlot-methods
Aliases: planarPlot planarPlot-methods planarPlot,classifOutput,exprSet,character-method
Keywords: methods
Description: Methods for Function planarPlot in Package 'MLInterfaces'
URL: ../../../library/MLInterfaces/html/planarPlot-methods.html

Entry: varImpStruct-class
Aliases: varImpStruct-class plot,varImpStruct-method show,varImpStruct-method getVarImp getVarImp,classifOutput-method
Keywords: classes
Description: Class "varImpStruct" -- collect data on variable importance from various machine learning methods
URL: ../../../library/MLInterfaces/html/varImpStruct-class.html

Entry: xval-methods
Aliases: xval-methods xval xval,exprSet,character,nonstandardGeneric,character,missing-method xval,exprSet,character,nonstandardGeneric,character,integer-method balKfold xval,exprSet,character,genericFunction,character,integer-method xval,exprSet,character,genericFunction,character,missing-method
Keywords: methods
Description: support for cross-validatory machine learning with exprSets
URL: ../../../library/MLInterfaces/html/xval-methods.html

Entry: xvalLoop-methods
Aliases: xvalLoop-methods xvalLoop,ANY-method
Keywords: methods
Description: Cross-validation in clustered computing environments
URL: ../../../library/MLInterfaces/html/xvalLoop-methods.html

Entry: xvalLoop
Aliases: xvalLoop
Keywords: methods
Description: Cross-validation in clustered computing environments
URL: ../../../library/MLInterfaces/html/xvalLoop.html
