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 |