Entry: Kfold
Aliases: Kfold
Keywords: models
Description: for given n, generate a K-fold partition of 1:n
URL: ../../../library/MLInterfaces/html/Kfold.html

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

Entry: MLIntInternals
Aliases: chkMLInterfaceProc getGrid getGrid,data.frame-method getGrid,ExpressionSet-method 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-OLD es2df tellMLearnMethods MLearn-methods MLearn,formula,ExpressionSet,character,numeric,ANY-method MLearn,formula,data.frame,character,numeric,ANY-method MLearn,formula,ExpressionSet,character,numeric-method MLearn,formula,data.frame,character,numeric-method confuMatTrain,classifOutput-method confuMatTrain predLabelsTr predLabelsTr,classifOutput-method
Keywords: methods
Description: Methods for Function MLearn in Package 'MLInterfaces'
URL: ../../../library/MLInterfaces/html/MLearn-methods.html

Entry: MLearn_new
Aliases: MLearn_new MLearn baggingI dlda glmI.logistic knnI knn.cvI ksvmI ldaI lvqI naiveBayesI nnetI qdaI RABI randomForestI rpartI svmI dlda2 dldaI sldaI knn2 knn.cv2 ldaI.predParms lvq rab adaI MLearn,formula,ExpressionSet,character,numeric,missing-method MLearn,formula,ExpressionSet,learnerSchema,numeric,missing-method MLearn,formula,data.frame,learnerSchema,numeric,missing-method MLearn,formula,data.frame,learnerSchema,xvalSpec,missing-method MLearn,formula,ExpressionSet,learnerSchema,xvalSpec,missing-method plotXvalRDA rdacvI rdaI rdaML rdacvML makeLearnerSchema standardMLIConverter
Keywords: models
Description: revised MLearn interface for machine learning
URL: ../../../library/MLInterfaces/html/MLearn-new.html

Entry: RAB
Aliases: RAB RAB4es DAB Predict tonp mkfmla Predict,raboostCont-method Predict,daboostCont-method
Keywords: models
Description: real adaboost (Friedman et al)
URL: ../../../library/MLInterfaces/html/RAB.html

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

Entry: balKfold.xvspec
Aliases: balKfold.xvspec
Keywords: models manip
Description: generate a partition function for cross-validation, where the partitions are approximately balanced with respect to the distribution of a response variable
URL: ../../../library/MLInterfaces/html/balKfold.xvspec.html

Entry: classifOutput-class
Aliases: classifOutput classifOutput-class agnes-class bagging-class classbagg-class cshell-class diana-class dist-class gbm-class groupIndex-class ica-class ipredknn-class kmeans-class knnP-class lca-class lda-class logitboost-class membMat-class MLLabel-class MLOutput-class MLLabel MLOutput MLScore-class MLScore 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 silhouetteB,classifOutput-method slda-class SOMBout-class svm-class
Keywords: classes
Description: Class "classifOutput": container for output of classification procedures in R
URL: ../../../library/MLInterfaces/html/classifOutput-class.html

Entry: classifierOutput-class
Aliases: classifierOutput-class RObject,classifierOutput-method show,classifierOutput-method testScores,classifierOutput-method testPredictions,classifierOutput-method testPredictions trainPredictions trainPredictions,classifierOutput-method fsHistory,classifierOutput-method testScores testPredictions
Keywords: classes
Description: Class "classifierOutput"
URL: ../../../library/MLInterfaces/html/classifierOutput-class.html

Entry: clustOutput-class
Aliases: clustOutput-class fclust-class bclust-class hclust-class show,clustOutput-method silhouetteB,clustOutput-method
Keywords: classes
Description: Class "clustOutput" container for cluster analysis results
URL: ../../../library/MLInterfaces/html/clustOutput-class.html

Entry: confuMat-methods
Aliases: confuMat confuMat-methods confuMat,classifOutput-method confuMat,classifOutput,missing-method confuMat,classifOutput,character-method confuMat,classifierOutput-method confuMat,classifierOutput,character-method confuMat,classifierOutput,missing-method
Keywords: methods classif
Description: Compute the confusion matrix for a classifier.
URL: ../../../library/MLInterfaces/html/confuMat-methods.html

Entry: fs.absT
Aliases: fs.absT fs.probT fs.topVariance
Keywords: models
Description: support for feature selection in cross-validation
URL: ../../../library/MLInterfaces/html/fs.absT.html

Entry: fsHistory
Aliases: fsHistory
Keywords: models
Description: extract history of feature selection for a cross-validated machine learner
URL: ../../../library/MLInterfaces/html/fsHistory.html

Entry: knnB
Aliases: allClass stat.diag.daB stat.diag.daB,ExpressionSet,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,ExpressionSet,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,ExpressionSet,character,integer-method gbmB,ExpressionSet,character,integer-method ipredknnB,ExpressionSet,character,integer-method knn1B,ExpressionSet,character,integer-method knnB,ExpressionSet,character,integer-method lcaB,ExpressionSet,numeric-method ldaB,ExpressionSet,character,integer-method logitboostB,ExpressionSet,character,integer,numeric-method lvq1B,ExpressionSet,character,integer-method lvq2B,ExpressionSet,character,integer-method lvq3B,ExpressionSet,character,integer-method naiveBayesB,ExpressionSet,character,integer-method nnetB,ExpressionSet,character,integer-method olvq1B,ExpressionSet,character,integer-method pamrB,ExpressionSet,character,integer-method qdaB,ExpressionSet,character,integer-method randomForestB,ExpressionSet,character,integer-method rpartB,ExpressionSet,character,integer-method sldaB,ExpressionSet,character,integer-method svmB,ExpressionSet,character,integer-method
Keywords: classif
Description: An interface to various machine learning methods for ExpressionSets
URL: ../../../library/MLInterfaces/html/knnB.html

Entry: learnerSchema-class
Aliases: learnerSchema-class nonstandardLearnerSchema-class show,learnerSchema-method
Keywords: classes
Description: Class "learnerSchema" -- convey information on a machine learning function to the MLearn wrapper
URL: ../../../library/MLInterfaces/html/learnerSchema-class.html

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

Entry: raboostCont-class
Aliases: raboostCont-class daboostCont-class show,raboostCont-method
Keywords: classes
Description: Class "raboostCont" ~~~
URL: ../../../library/MLInterfaces/html/raboostCont-class.html

Entry: varImpStruct-class
Aliases: varImpStruct-class plot,varImpStruct-method plot,varImpStruct,ANY-method show,varImpStruct-method report,varImpStruct-method report getVarImp getVarImp,classifOutput,logical-method getVarImp,classifierOutput,logical-method getVarImp,classifierOutput,missing-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 xvalML xval,ExpressionSet,character,nonstandardGeneric,character,missing-method xval,ExpressionSet,character,nonstandardGeneric,character,integer-method balKfold xval,ExpressionSet,character,genericFunction,character,integer-method xval,ExpressionSet,character,genericFunction,character,missing-method xvalML,formula,ExpressionSet,character,character,numeric-method xvalML,formula,ExpressionSet,character,character,missing-method xvalML,formula,ExpressionSet,character,character,numeric,ANY,ANY,ANY,ANY,ANY-method xvalML,formula,ExpressionSet,character,character,numeric,ANY,ANY,ANY,ANY,ANY,ANY-method xvalML,formula,ExpressionSet,character,character,missing,missing,missing,missing,missing,missing-method xvalML,formula,ExpressionSet,character,character,missing,missing,missing,missing,missing,missing,missing-method xvalML,formula,ExpressionSet,character,character,missing,missing,missing,function,missing,missing,missing-method xvalML,formula,ExpressionSet,character,character,missing,missing,missing,function,numeric,missing,missing-method
Keywords: methods
Description: support for cross-validatory machine learning with ExpressionSets
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

Entry: xvalSpec
Aliases: xvalSpec xvalSpec-class
Keywords: models
Description: container for information specifying a cross-validated machine learning exercise
URL: ../../../library/MLInterfaces/html/xvalSpec.html
