randomUniformForest: Random Uniform Forests for Classification, Regression and Unsupervised Learning

Ensemble model, for classification, regression and unsupervised learning, based on a forest of unpruned and randomized binary decision trees. Each tree is grown by sampling, with replacement, a set of variables at each node. Each cut-point is generated randomly, according to the continuous Uniform distribution. For each tree, data are either bootstrapped or subsampled. The unsupervised mode introduces clustering, dimension reduction and variable importance, using a three-layer engine. Random Uniform Forests are mainly aimed to lower correlation between trees (or trees residuals), to provide a deep analysis of variable importance and to allow native distributed and incremental learning.

AuthorSaip Ciss
Date of publication2015-02-16 21:29:00
MaintainerSaip Ciss <saip.ciss@wanadoo.fr>
LicenseBSD_3_clause + file LICENSE
Version1.1.5

View on CRAN

Man pages

as.supervised: Conversion of an unsupervised model into a supervised one

autoMPG: Auto MPG Data Set

bCI: Bootstrapped Prediction Intervals for Ensemble Models

biasVarCov: Bias-Variance-Covariance Decomposition

breastCancer: Breast Cancer Wisconsin (Original) Data Set

carEvaluation: Car Evaluation Data Set

clusterAnalysis: Cluster (or classes) analysis of importance objects.

clusteringObservations: Cluster observations of a (supervised) randomUniformForest...

combineUnsupervised: Combine Unsupervised Learning objects

ConcreteCompressiveStrength: Concrete Compressive Strength Data Set

fillNA2.randomUniformForest: Missing values imputation by randomUniformForest

generic.cv: Generic k-fold cross-validation

getTree.randomUniformForest: Extract a tree from a forest

importance.randomUniformForest: Variable Importance for random Uniform Forests

init_values: Training and validation samples from data

internalFunctions: All internal functions

mergeClusters: Merge two arbitrary, but adjacent, clusters

model.stats: Common statistics for a vector (or factor) of predictions and...

modifyClusters: Change number of clusters (and clusters shape) on the fly

partialDependenceBetweenPredictors: Partial Dependence between Predictors and effect over...

partialDependenceOverResponses: Partial Dependence Plots and Models

partialImportance: Partial Importance for random Uniform Forests

plotTree: Plot a Random Uniform Decision Tree

postProcessingVotes: Post-processing for Regression

predict.randomUniformForest: Predict method for random Uniform Forests objects

randomUniformForest: Random Uniform Forests for Classification, Regression and...

randomUniformForest-package: Random Uniform Forests for Classification, Regression and...

reSMOTE: REplication of a Synthetic Minority Oversampling TEchnique...

rm.trees: Remove trees from a random Uniform Forest

roc.curve: ROC and precision-recall curves for random Uniform Forests

rUniformForest.big: Random Uniform Forests for Classification and Regression with...

rUniformForest.combine: Incremental learning for random Uniform Forests

rUniformForest.grow: Add trees to a random Uniform Forest

simulationData: Simulation of Gaussian vector

splitClusters: Split a cluster on the fly

unsupervised.randomUniformForest: Unsupervised Learning with Random Uniform Forests

update.unsupervised: Update Unsupervised Learning object

wineQualityRed: Wine Quality Data Set

Files in this package

randomUniformForest
randomUniformForest/inst
randomUniformForest/inst/CITATION
randomUniformForest/inst/doc
randomUniformForest/inst/doc/randomUniformForestsOverview.pdf.asis
randomUniformForest/inst/doc/randomUniformForestsOverview.pdf
randomUniformForest/inst/doc/VariableImportanceInRandomUniformForests.pdf.asis
randomUniformForest/inst/doc/VariableImportanceInRandomUniformForests.pdf
randomUniformForest/src
randomUniformForest/src/cppFunctions.cpp
randomUniformForest/NAMESPACE
randomUniformForest/NEWS
randomUniformForest/data
randomUniformForest/data/wineQualityRed.RData
randomUniformForest/data/carEvaluation.RData
randomUniformForest/data/autoMPG.RData
randomUniformForest/data/breastCancer.RData
randomUniformForest/data/ConcreteCompressiveStrength.RData
randomUniformForest/R
randomUniformForest/R/genericFunctions.R randomUniformForest/R/OnliningRandomUniformForests.R randomUniformForest/R/rUniformForestCppClass.R randomUniformForest/R/DecisionTreesCPP.R randomUniformForest/R/RandomUniformForestsCPP.R
randomUniformForest/vignettes
randomUniformForest/vignettes/randomUniformForestsOverview.pdf.asis
randomUniformForest/vignettes/VariableImportanceInRandomUniformForests.pdf.asis
randomUniformForest/MD5
randomUniformForest/build
randomUniformForest/build/vignette.rds
randomUniformForest/DESCRIPTION
randomUniformForest/man
randomUniformForest/man/bCI.Rd randomUniformForest/man/rUniformForest.combine.Rd randomUniformForest/man/partialImportance.Rd randomUniformForest/man/randomUniformForest-package.Rd randomUniformForest/man/randomUniformForest.Rd randomUniformForest/man/unsupervised.randomUniformForest.Rd randomUniformForest/man/modifyClusters.Rd randomUniformForest/man/generic.cv.Rd randomUniformForest/man/partialDependenceBetweenPredictors.Rd randomUniformForest/man/wineQualityRed.Rd randomUniformForest/man/breastCancer.Rd randomUniformForest/man/rUniformForest.grow.Rd randomUniformForest/man/mergeClusters.Rd randomUniformForest/man/biasVarCov.Rd randomUniformForest/man/reSMOTE.Rd randomUniformForest/man/init_values.Rd randomUniformForest/man/fillNA2.randomUniformForest.Rd randomUniformForest/man/plotTree.Rd randomUniformForest/man/clusteringObservations.Rd randomUniformForest/man/update.unsupervised.Rd randomUniformForest/man/partialDependenceOverResponses.Rd randomUniformForest/man/combineUnsupervised.Rd randomUniformForest/man/clusterAnalysis.Rd randomUniformForest/man/rUniformForest.big.Rd randomUniformForest/man/getTree.randomUniformForest.Rd randomUniformForest/man/roc.curve.Rd randomUniformForest/man/model.stats.Rd randomUniformForest/man/splitClusters.Rd randomUniformForest/man/autoMPG.Rd randomUniformForest/man/postProcessingVotes.Rd randomUniformForest/man/ConcreteCompressiveStrength.Rd randomUniformForest/man/importance.randomUniformForest.Rd randomUniformForest/man/internalFunctions.Rd randomUniformForest/man/simulationData.Rd randomUniformForest/man/predict.randomUniformForest.Rd randomUniformForest/man/as.supervised.Rd randomUniformForest/man/rm.trees.Rd randomUniformForest/man/carEvaluation.Rd
randomUniformForest/LICENSE

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