API for randomUniformForest
Random Uniform Forests for Classification, Regression and Unsupervised Learning
| Global functions | |
|---|---|
| CheckSameValuesInAllAttributes | Source code |
| CheckSameValuesInAllAttributes} \alias{CheckSameValuesInLabels} | Man page |
| CheckSameValuesInLabels | Source code |
| ConcreteCompressiveStrength | Man page |
| HuberDist | Source code |
| Id | Source code |
| L1Dist | Source code |
| L1InformationGainCPP} \alias{L1AsymetricInformationGainCPP} \ali | Man page |
| L2.logDist | Source code |
| L2Dist | Source code |
| MDSscale | Source code |
| MDSscale} \alias{mergeOutliers} \alias{unsupervised2supervised} | Man page |
| NAFeatures | Source code |
| NATreatment | Source code |
| NAfactor2matrix | Source code |
| NAfactor2matrix} \alias{OOBquantiles} \alias{XMinMaxCPP} \alias{ | Man page |
| OOBVotesScale | Source code |
| OOBquantiles | Source code |
| as.supervised | Man page Source code |
| as.true.matrix | Source code |
| autoMPG | Man page |
| bCI | Man page Source code |
| bCICore | Source code |
| biasVarCov | Man page Source code |
| breastCancer | Man page |
| carEvaluation | Man page |
| classifyMatrixCPP} \alias{combineRUFObjects} \alias{concat} \ali | Man page |
| clusterAnalysis | Man page Source code |
| clusteringObservations | Man page Source code |
| combineRUFObjects | Source code |
| combineUnsupervised | Man page Source code |
| concat | Source code |
| concatCore | Source code |
| confusion.matrix | Source code |
| copulaLike | Source code |
| count.factor | Source code |
| dates2numeric | Man page Source code |
| define_train_test_sets | Source code |
| difflog | Source code |
| dummy.recode | Source code |
| estimatePredictionAccuracy | Source code |
| estimaterequiredSampleSize | Source code |
| expectedSquaredBias | Source code |
| extractYFromData | Source code |
| fScore | Source code |
| factor2matrix | Source code |
| factor2vector | Source code |
| fillNA2.randomUniformForest | Man page Source code |
| fillVariablesNames | Source code |
| fillWith | Source code |
| filter.forest | Source code |
| filter.object | Source code |
| filterOutliers | Man page Source code |
| find.first.idx | Source code |
| find.idx | Source code |
| find.root | Source code |
| fullNode | Source code |
| gMean | Source code |
| gap.stats | Source code |
| generalization.error | Source code |
| generic.cv | Man page Source code |
| generic.log | Source code |
| generic.smoothing.log | Source code |
| genericCbind | Source code |
| genericNode | Source code |
| genericOutput | Source code |
| getCorr | Source code |
| getOddEven | Source code |
| getTree | Man page |
| getTree.randomUniformForest | Man page Source code |
| getVotesProbability | Source code |
| getVotesProbability2 | Source code |
| hClust | Source code |
| importance | Man page Source code |
| importance.randomUniformForest | Man page Source code |
| inDummies | Source code |
| init_values | Man page Source code |
| insert.in.vector | Source code |
| insert.in.vector2 | Source code |
| insert.in.vector} \alias{insert.in.vector2} \alias{is.wholenumbe | Man page |
| interClassesVariance | Source code |
| intraClassesVariance | Source code |
| is.wholenumber | Source code |
| kBiggestProximities | Source code |
| kMeans | Source code |
| kappaStat | Source code |
| keep.index | Source code |
| lagFunction | Source code |
| leafNode | Source code |
| leafNode} \alias{localTreeImportance} \alias{localVariableImport | Man page |
| localTreeImportance | Source code |
| localVariableImportance | Source code |
| majorityClass | Source code |
| matrix2factor | Source code |
| matrix2factor2 | Source code |
| mergeClusters | Man page Source code |
| mergeLists | Source code |
| mergeOutliers | Source code |
| min_or_max | Source code |
| modX | Source code |
| model.stats | Man page Source code |
| modelingResiduals | Source code |
| modifyClusters | Man page Source code |
| monitorOOBError | Source code |
| myAUC | Source code |
| na.impute | Source code |
| na.missing | Source code |
| na.replace | Source code |
| observationsImportance | Source code |
| onlineClassify | Source code |
| onlineCombineRUF | Source code |
| optimizeFalsePositives | Source code |
| options.filter | Source code |
| outputPerturbationSampling | Source code |
| outsideConfIntLevels | Source code |
| overSampling | Source code |
| parallelNA.replace | Source code |
| partialDependenceBetweenPredictors | Man page Source code |
| partialDependenceOverResponses | Man page Source code |
| partialImportance | Man page Source code |
| permuteCatValues | Source code |
| perspWithcol | Man page Source code |
| plot.importance | Man page Source code |
| plot.randomUniformForest | Man page Source code |
| plot.unsupervised | Man page Source code |
| plotTree | Man page Source code |
| plotTreeCore | Source code |
| plotTreeCore2 | Source code |
| plotTreeCore} \alias{plotTreeCore2} \alias{predictDecisionTree} | Man page |
| postProcessingVotes | Man page Source code |
| predict | Man page |
| predict.randomUniformForest | Man page Source code |
| predictDecisionTree | Source code |
| predictionvsResponses | Source code |
| print.importance | Man page Source code |
| print.randomUniformForest | Man page Source code |
| print.unsupervised | Man page Source code |
| proximitiesMatrix | Source code |
| pseudoHuberDist | Source code |
| pseudoNAReplace | Source code |
| rUniformForest.big | Man page Source code |
| rUniformForest.combine | Man page Source code |
| rUniformForest.grow | Man page Source code |
| rUniformForest.merge | Source code |
| rUniformForestPredict | Source code |
| randomCombination | Source code |
| randomUniformForest | Man page Source code |
| randomUniformForest-package | Man page |
| randomUniformForest.default | Man page Source code |
| randomUniformForest.formula | Man page Source code |
| randomUniformForestCore | Source code |
| randomUniformForestCore.big | Source code |
| randomUniformForestCore.merge | Source code |
| randomUniformForestCore.predict | Source code |
| randomUniformForestCore.predict} \alias{randomWhichMax} \alias{r | Man page |
| randomUniformForestCore} \alias{randomUniformForestCore.big} \al | Man page |
| randomWhichMax | Source code |
| randomize | Source code |
| rankingTrainData | Source code |
| reSMOTE | Man page Source code |
| reduce.trees | Source code |
| residualsRandomUniformForest | Source code |
| rewind.trees | Source code |
| rm.InAList | Source code |
| rm.coordinates | Source code |
| rm.correlation | Source code |
| rm.string | Source code |
| rm.tempdir | Source code |
| rm.trees | Man page Source code |
| rmInAListByNames | Source code |
| rmInf | Source code |
| rmNA | Man page Source code |
| rmNoise | Source code |
| rmNoise} \alias{rollApplyFunction} \alias{runifMatrixCPP} \alias | Man page |
| roc.curve | Man page Source code |
| rollApplyFunction | Source code |
| rufImpute | Man page |
| scale2AnyValues | Source code |
| scalingMDS | Source code |
| setManyDatasets | Source code |
| simulationData | Man page Source code |
| smoothing.log | Source code |
| someErrorType | Source code |
| sortDataframe | Source code |
| sortMatrix | Source code |
| specClust | Source code |
| specClust} \alias{rm.coordinates} \alias{OOBVotesScale} \alias{k | Man page |
| splitClusters | Man page Source code |
| splitVarCore | Source code |
| standardize | Source code |
| standardize_vect | Source code |
| standardize_vect} \alias{strength_and_correlation} \alias{timer} | Man page |
| strength_and_correlation | Source code |
| subsampleFile | Source code |
| subsampleFile} \alias{modelingResiduals} \alias{estimaterequired | Man page |
| summary.randomUniformForest | Man page Source code |
| timeStampCore | Source code |
| timer | Source code |
| twoColumnsImportance | Source code |
| uniformDecisionTree | Source code |
| uniformDecisionTree} \alias{vector2factor} \alias{vector2matrix} | Man page |
| unsupervised | Man page Source code |
| unsupervised.randomUniformForest | Man page Source code |
| unsupervised2supervised | Source code |
| update | Man page |
| update.unsupervised | Man page Source code |
| updateCombined.unsupervised | Source code |
| variance | Source code |
| vector2factor | Source code |
| vector2matrix | Source code |
| weightedVote | Source code |
| weightedVoteModel | Source code |
| which.is.duplicate | Source code |
| which.is.duplicate} \alias{define_train_test_sets} \alias{difflo | Man page |
| which.is.factor | Source code |
| which.is.na | Source code |
| which.is.nearestCenter | Source code |
| which.is.nearestCenter} \alias{variance} \alias{interClassesVari | Man page |
| which.is.wholenumber | Source code |
| wineQualityRed | Man page |
