| bagging-class |
Class "classifOutput": container for output of classification procedures in R |
| baggingB |
An interface to various machine learning methods for ExpressionSets |
| baggingB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| balKfold |
support for cross-validatory machine learning with ExpressionSets |
| bclust-class |
Class "classifOutput": container for output of classification procedures in R |
| bclustB |
An interface to various unsupervised machine learning methods for ExpressionSets |
| bclustB,ExpressionSet,numeric-method |
An interface to various unsupervised machine learning methods for ExpressionSets |
| gbm-class |
Class "classifOutput": container for output of classification procedures in R |
| gbmB |
An interface to various machine learning methods for ExpressionSets |
| gbmB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| 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 ExpressionSets |
| kmeansB,ExpressionSet,numeric-method |
An interface to various unsupervised machine learning methods for ExpressionSets |
| knn1B |
An interface to various machine learning methods for ExpressionSets |
| knn1B,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| knnB |
An interface to various machine learning methods for ExpressionSets |
| knnB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| knnP |
An interface to various machine learning methods for ExpressionSets |
| knnP-class |
Class "classifOutput": container for output of classification procedures in R |
| last.warning |
An interface to various machine learning methods for ExpressionSets |
| lca-class |
Class "classifOutput": container for output of classification procedures in R |
| lcaB |
An interface to various machine learning methods for ExpressionSets |
| lcaB,ExpressionSet,numeric-method |
An interface to various machine learning methods for ExpressionSets |
| lda-class |
Class "classifOutput": container for output of classification procedures in R |
| ldaB |
An interface to various machine learning methods for ExpressionSets |
| ldaB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| logitboost-class |
Class "classifOutput": container for output of classification procedures in R |
| logitboostB |
An interface to various machine learning methods for ExpressionSets |
| logitboostB,ExpressionSet,character,integer,numeric-method |
An interface to various machine learning methods for ExpressionSets |
| lvq1B |
An interface to various machine learning methods for ExpressionSets |
| lvq1B,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| lvq2B |
An interface to various machine learning methods for ExpressionSets |
| lvq2B,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| lvq3B |
An interface to various machine learning methods for ExpressionSets |
| lvq3B,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| pam-class |
Class "classifOutput": container for output of classification procedures in R |
| pamB |
An interface to various unsupervised machine learning methods for ExpressionSets |
| pamB,ExpressionSet,numeric-method |
An interface to various unsupervised machine learning methods for ExpressionSets |
| pamr-class |
Class "classifOutput": container for output of classification procedures in R |
| pamrB |
An interface to various machine learning methods for ExpressionSets |
| pamrB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| planarPlot |
Methods for Function planarPlot in Package `MLInterfaces' |
| planarPlot,classifOutput,ExpressionSet,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 ExpressionSets |
| predLabels,classifOutput-method |
An interface to various machine learning methods for ExpressionSets |
| predLabels,MLOutput-method |
An interface to various machine learning methods for ExpressionSets |
| 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 ExpressionSets |
| show,MLOutput-method |
An interface to various machine learning methods for ExpressionSets |
| show,probArray-method |
An interface to various machine learning methods for ExpressionSets |
| show,probMat-method |
An interface to various machine learning methods for ExpressionSets |
| show,qualScore-method |
An interface to various machine learning methods for ExpressionSets |
| show,silhouetteVec-method |
An interface to various machine learning methods for ExpressionSets |
| show,SOMBout-method |
An interface to self-organizing map methods for ExpressionSets |
| show,somout-method |
An interface to self-organizing map methods for ExpressionSets |
| 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 ExpressionSets |
| 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 ExpressionSets |
| sldaB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| SOMB |
An interface to self-organizing map methods for ExpressionSets |
| somB |
An interface to self-organizing map methods for ExpressionSets |
| SOMB,ExpressionSet,character-method |
An interface to self-organizing map methods for ExpressionSets |
| somB,ExpressionSet,character-method |
An interface to self-organizing map methods for ExpressionSets |
| SOMBout-class |
Class "classifOutput": container for output of classification procedures in R |
| somout-class |
An interface to self-organizing map methods for ExpressionSets |
| stat.diag.daB |
An interface to various machine learning methods for ExpressionSets |
| stat.diag.daB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| svm-class |
Class "classifOutput": container for output of classification procedures in R |
| svmB |
An interface to various machine learning methods for ExpressionSets |
| svmB,ExpressionSet,character,integer-method |
An interface to various machine learning methods for ExpressionSets |
| xval |
support for cross-validatory machine learning with ExpressionSets |
| xval,ExpressionSet,character,genericFunction,character,integer-method |
support for cross-validatory machine learning with ExpressionSets |
| xval,ExpressionSet,character,genericFunction,character,missing-method |
support for cross-validatory machine learning with ExpressionSets |
| xval,ExpressionSet,character,nonstandardGeneric,character,integer-method |
support for cross-validatory machine learning with ExpressionSets |
| xval,ExpressionSet,character,nonstandardGeneric,character,missing-method |
support for cross-validatory machine learning with ExpressionSets |
| xval-methods |
support for cross-validatory machine learning with ExpressionSets |
| xvalLoop |
Cross-validation in clustered computing environments |
| xvalLoop,ANY-method |
Cross-validation in clustered computing environments |
| xvalLoop-methods |
Cross-validation in clustered computing environments |