Random Uniform Forests for Classification, Regression and Unsupervised Learning

Documentation for package ‘randomUniformForest’ version 1.1.6

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

Random Uniform Forests for Classification, Regression and Unsupervised Learning

-- A --

A2Rplot	All internal functions
A2Rplot.default	All internal functions
A2Rplot.hclust	All internal functions
as.supervised	Conversion of an unsupervised model into a supervised one
as.true.matrix	All internal functions
asymetricCrossEntropyCPP	All internal functions
asymetricGiniCPP	All internal functions
asymetricInformationGainCPP	All internal functions
autoMPG	Auto MPG Data Set

-- B --

bCI	Bootstrapped Prediction Intervals for Ensemble Models
bCICore	All internal functions
biasVarCov	Bias-Variance-Covariance Decomposition
breastCancer	Breast Cancer Wisconsin (Original) Data Set

-- C --

carEvaluation	Car Evaluation Data Set
category2Proba	All internal functions
category2Quantile	All internal functions
categoryCombination	All internal functions
CheckSameValuesInAllAttributes	All internal functions
CheckSameValuesInLabels	All internal functions
checkUniqueObsCPP	All internal functions
classifyCPP	All internal functions
classifyMatrixCPP	All internal functions
clusterAnalysis	Cluster (or classes) analysis of importance objects.
clusteringObservations	Cluster observations of a (supervised) randomUniformForest object
combineRUFObjects	All internal functions
combineUnsupervised	Combine Unsupervised Learning objects
concat	All internal functions
concatCore	All internal functions
ConcreteCompressiveStrength	Concrete Compressive Strength Data Set
conditionalCrossEntropyCPP	All internal functions
conditionalGiniCPP	All internal functions
confusion.matrix	All internal functions
copulaLike	All internal functions
count.factor	All internal functions
crossEntropyCPP	All internal functions
cutree.order	All internal functions

-- D --

dates2numeric	All internal functions
define_train_test_sets	All internal functions
difflog	All internal functions
dummy.recode	All internal functions

-- E --

entropyInformationGainCPP	All internal functions
estimatePredictionAccuracy	All internal functions
estimaterequiredSampleSize	All internal functions
expectedSquaredBias	All internal functions
extractYFromData	All internal functions

-- F --

factor2matrix	All internal functions
factor2vector	All internal functions
fillNA2.randomUniformForest	Missing values imputation by randomUniformForest
fillVariablesNames	All internal functions
fillWith	All internal functions
filter.forest	All internal functions
filter.object	All internal functions
filterOutliers	All internal functions
find.first.idx	All internal functions
find.idx	All internal functions
find.root	All internal functions
fScore	All internal functions
fullNDCG	All internal functions
fullNode	All internal functions

-- G --

gap.stats	All internal functions
generalization.error	All internal functions
generic.cv	Generic k-fold cross-validation
generic.log	All internal functions
generic.smoothing.log	All internal functions
genericCbind	All internal functions
genericNode	All internal functions
genericOutput	All internal functions
getCorr	All internal functions
getOddEven	All internal functions
getTree	Extract a tree from a forest
getTree.randomUniformForest	Extract a tree from a forest
getVotesProbability	All internal functions
getVotesProbability2	All internal functions
giniCPP	All internal functions
gMean	All internal functions

-- H --

hClust	All internal functions
HuberDist	All internal functions

-- I --

Id	All internal functions
importance	Variable Importance for random Uniform Forests
importance.randomUniformForest	Variable Importance for random Uniform Forests
imputeCategoryForTestData	All internal functions
inDummies	All internal functions
init_values	Training and validation samples from data
insert.in.vector	All internal functions
insert.in.vector2	All internal functions
interClassesVariance	All internal functions
intraClassesVariance	All internal functions
is.wholenumber	All internal functions

-- K --

kappaStat	All internal functions
kBiggestProximities	All internal functions
keep.index	All internal functions
kMeans	All internal functions

-- L --

L1AsymetricInformationGainCPP	All internal functions
L1Dist	All internal functions
L1DistCPP	All internal functions
L1InformationGainCPP	All internal functions
L2.logDist	All internal functions
L2AsymetricInformationGainCPP	All internal functions
L2Dist	All internal functions
L2DistCPP	All internal functions
L2InformationGainCPP	All internal functions
lagFunction	All internal functions
leafNode	All internal functions
LInfCPP	All internal functions
localTreeImportance	All internal functions
localVariableImportance	All internal functions

-- M --

majorityClass	All internal functions
matrix2factor	All internal functions
matrix2factor2	All internal functions
MDSscale	All internal functions
mergeClusters	Merge two arbitrary, but adjacent, clusters
mergeLists	All internal functions
mergeOutliers	All internal functions
min_or_max	All internal functions
model.stats	Common statistics for a vector (or factor) of predictions and a vector (or factor) of responses
modelingResiduals	All internal functions
modifyClusters	Change number of clusters (and clusters shape) on the fly
modX	All internal functions
monitorOOBError	All internal functions
myAUC	All internal functions

-- N --

na.impute	All internal functions
na.missing	All internal functions
na.replace	All internal functions
NAfactor2matrix	All internal functions
NAFeatures	All internal functions
NATreatment	All internal functions
ndcg	All internal functions

-- O --

observationsImportance	All internal functions
onlineClassify	All internal functions
onlineCombineRUF	All internal functions
OOBquantiles	All internal functions
OOBVotesScale	All internal functions
optimizeFalsePositives	All internal functions
options.filter	All internal functions
outputPerturbationSampling	All internal functions
outsideConfIntLevels	All internal functions
overSampling	All internal functions

-- P --

parallelNA.replace	All internal functions
partialDependenceBetweenPredictors	Partial Dependence between Predictors and effect over Response
partialDependenceOverResponses	Partial Dependence Plots and Models
partialImportance	Partial Importance for random Uniform Forests
permuteCatValues	All internal functions
perspWithcol	All internal functions
plot.importance	Variable Importance for random Uniform Forests
plot.randomUniformForest	Random Uniform Forests for Classification, Regression and Unsupervised Learning
plot.unsupervised	Unsupervised Learning with Random Uniform Forests
plotTree	Plot a Random Uniform Decision Tree
plotTreeCore	All internal functions
plotTreeCore2	All internal functions
postProcessingVotes	Post-processing for Regression
predict	Predict method for random Uniform Forests objects
predict.randomUniformForest	Predict method for random Uniform Forests objects
predictDecisionTree	All internal functions
predictionvsResponses	All internal functions
print.importance	Variable Importance for random Uniform Forests
print.randomUniformForest	Random Uniform Forests for Classification, Regression and Unsupervised Learning
print.unsupervised	Unsupervised Learning with Random Uniform Forests
proximitiesMatrix	All internal functions
pseudoHuberDist	All internal functions
pseudoNAReplace	All internal functions

-- R --

randomCombination	All internal functions
randomize	All internal functions
randomUniformForest	Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForest.default	Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForest.formula	Random Uniform Forests for Classification, Regression and Unsupervised Learning
randomUniformForestCore	All internal functions
randomUniformForestCore.big	All internal functions
randomUniformForestCore.merge	All internal functions
randomUniformForestCore.predict	All internal functions
randomWhichMax	All internal functions
rankingTrainData	All internal functions
reduce.trees	All internal functions
residualsRandomUniformForest	All internal functions
reSMOTE	REplication of a Synthetic Minority Oversampling TEchnique for highly imbalanced datasets
rewind.trees	All internal functions
rm.coordinates	All internal functions
rm.correlation	All internal functions
rm.InAList	All internal functions
rm.string	All internal functions
rm.tempdir	All internal functions
rm.trees	Remove trees from a random Uniform Forest
rmInAListByNames	All internal functions
rmInf	All internal functions
rmNA	All internal functions
rmNoise	All internal functions
roc.curve	ROC and precision-recall curves for random Uniform Forests
rollApplyFunction	All internal functions
rufImpute	Missing values imputation by randomUniformForest
runifMatrixCPP	All internal functions
rUniformForest.big	Random Uniform Forests for Classification and Regression with large data sets
rUniformForest.combine	Incremental learning for random Uniform Forests
rUniformForest.grow	Add trees to a random Uniform Forest
rUniformForest.merge	All internal functions
rUniformForestPredict	All internal functions

-- S --

sampleDirichlet	All internal functions
scale2AnyValues	All internal functions
scalingMDS	All internal functions
setManyDatasets	All internal functions
simulationData	Simulation of Gaussian vector
smoothing.log	All internal functions
someErrorType	All internal functions
sortCPP	All internal functions
sortDataframe	All internal functions
sortMatrix	All internal functions
specClust	All internal functions
splitClusters	Split a cluster on the fly
splitVarCore	All internal functions
standardize	All internal functions
standardize_vect	All internal functions
strength_and_correlation	All internal functions
subsampleFile	All internal functions
summary.randomUniformForest	Random Uniform Forests for Classification, Regression and Unsupervised Learning

-- T --

timer	All internal functions
timeStampCore	All internal functions
twoColumnsImportance	All internal functions

-- U --

uniformDecisionTree	All internal functions
unsupervised	Unsupervised Learning with Random Uniform Forests
unsupervised.randomUniformForest	Unsupervised Learning with Random Uniform Forests
unsupervised2supervised	All internal functions
update	Update Unsupervised Learning object
update.unsupervised	Update Unsupervised Learning object
updateCombined.unsupervised	All internal functions

-- V --

variance	All internal functions
vector2factor	All internal functions
vector2matrix	All internal functions

-- W --

weightedVote	All internal functions
weightedVoteModel	All internal functions
which.is.duplicate	All internal functions
which.is.factor	All internal functions
which.is.na	All internal functions
which.is.nearestCenter	All internal functions
which.is.wholenumber	All internal functions
wineQualityRed	Wine Quality Data Set

-- X --

XMinMaxCPP

All internal functions