Uniform interfaces to R machine learning procedures for data in Bioconductor containers


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Documentation for package `MLInterfaces' version 1.2.1

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A B C D F G H I K L M N O P Q R S T V W X

-- A --

agnes-class Class "classifOutput": container for output of classification procedures in R
agnesB An interface to various unsupervised machine learning methods for exprSets
agnesB,exprSet,numeric-method An interface to various unsupervised machine learning methods for exprSets
allClass An interface to various machine learning methods for exprSets
allClass,classifOutput-method An interface to various machine learning methods for exprSets

-- B --

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

-- C --

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

-- D --

diana-class Class "classifOutput": container for output of classification procedures in R
dianaB An interface to various unsupervised machine learning methods for exprSets
dianaB,exprSet,numeric-method An interface to various unsupervised machine learning methods for exprSets
dist-class Class "classifOutput": container for output of classification procedures in R
distMat An interface to various unsupervised machine learning methods for exprSets
distMat,MLOutput-method An interface to various machine learning methods for exprSets

-- F --

fannyB An interface to various unsupervised machine learning methods for exprSets
fannyB,exprSet,numeric-method An interface to various unsupervised machine learning methods for exprSets
fclust-class Class "classifOutput": container for output of classification procedures in R

-- G --

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

-- H --

hclust-class Class "classifOutput": container for output of classification procedures in R
hclustB An interface to various unsupervised machine learning methods for exprSets
hclustB,exprSet,missing,numeric-method An interface to various unsupervised machine learning methods for exprSets
hclustB,exprSet,numeric,ANY-method An interface to various unsupervised machine learning methods for exprSets
hclustB,exprSet,numeric,missing-method An interface to various unsupervised machine learning methods for exprSets

-- I --

ica-class Class "classifOutput": container for output of classification procedures in R
ipredknn-class Class "classifOutput": container for output of classification procedures in R
ipredknnB An interface to various machine learning methods for exprSets
ipredknnB,exprSet,character,integer-method An interface to various machine learning methods for exprSets
isoMDSB An interface to various unsupervised machine learning methods for exprSets

-- K --

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

-- L --

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

-- M --

makeCVFunc MLInterfaces infrastructure
membMat-class Class "classifOutput": container for output of classification procedures in R
MLearn unified interface to machine learning methods
MLearn,character,exprSet,character,numeric-method unified interface to machine learning methods
MLearn,formula,data.frame,character,numeric-method unified interface to machine learning methods
MLearn-methods unified interface to machine learning methods
MLLabel-class Class "classifOutput": container for output of classification procedures in R
MLOutput-class Class "classifOutput": container for output of classification procedures in R
MLScore-class Class "classifOutput": container for output of classification procedures in R

-- N --

naiveBayes-class Class "classifOutput": container for output of classification procedures in R
naiveBayesB An interface to various machine learning methods for exprSets
naiveBayesB,exprSet,character,integer-method An interface to various machine learning methods for exprSets
newGroupIndex MLInterfaces infrastructure
newMembMat MLInterfaces infrastructure
newPredClass MLInterfaces infrastructure
newProbArray MLInterfaces infrastructure
newProbMat MLInterfaces infrastructure
newQualScore MLInterfaces infrastructure
newSilhouetteVec MLInterfaces infrastructure
nnet.formula-class Class "classifOutput": container for output of classification procedures in R
nnetB An interface to various machine learning methods for exprSets
nnetB,exprSet,character,integer-method An interface to various machine learning methods for exprSets
nsc-class Class "classifOutput": container for output of classification procedures in R

-- O --

olvq1B An interface to various machine learning methods for exprSets
olvq1B,exprSet,character,integer-method An interface to various machine learning methods for exprSets

-- P --

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

-- Q --

qda-class Class "classifOutput": container for output of classification procedures in R
qdaB An interface to various machine learning methods for exprSets
qdaB,exprSet,character,integer-method An interface to various machine learning methods for exprSets
qualScore-class Class "classifOutput": container for output of classification procedures in R

-- R --

randomForest-class Class "classifOutput": container for output of classification procedures in R
randomForestB An interface to various machine learning methods for exprSets
randomForestB,exprSet,character,integer-method An interface to various machine learning methods for exprSets
RObject An interface to various machine learning methods for exprSets
RObject,MLOutput-method An interface to various machine learning methods for exprSets
rpart-class Class "classifOutput": container for output of classification procedures in R
rpartB An interface to various machine learning methods for exprSets
rpartB,exprSet,character,integer-method An interface to various machine learning methods for exprSets

-- S --

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

-- T --

trainInds An interface to various unsupervised machine learning methods for exprSets
trainInds,classifOutput-method An interface to various machine learning methods for exprSets

-- V --

varImpStruct-class Class "varImpStruct" - collect data on variable importance from various machine learning methods

-- W --

wrapClust MLInterfaces infrastructure

-- X --

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