RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (1.1.6) of this package.
Take me there.
randomUniformForest (version 1.0.9)
Random Uniform Forests for Classification, Regression and Unsupervised Learning
Description
Ensemble model, for classification, regression and unsupervised learning, base on a forest of unpruned and randomized binary decision trees.
Copy Link
Copy
Link to current version
Version
Version
1.1.6
1.1.5
1.1.2
1.1.1
1.1.0
1.0.9
1.0.8
1.0.6
Down Chevron
Install
install.packages('randomUniformForest')
Monthly Downloads
194
Version
1.0.9
License
BSD_3_clause + file LICENSE
Maintainer
Saip Ciss
Last Published
November 7th, 2014
Functions in randomUniformForest (1.0.9)
Search functions
mergeClusters
Merge two arbitrary, but adjacent, clusters
autoMPG
Auto MPG Data Set
partialDependenceBetweenPredictors
Partial Dependence between Predictors and effect over Response
postProcessingVotes
Post-processing for Regression
unsupervised.randomUniformForest
Unsupervised Learning with Random Uniform Forests
rUniformForest.grow
Add trees to a random Uniform Forest
ConcreteCompressiveStrength
Concrete Compressive Strength Data Set
init_values
Training and validation samples from data
CarEvaluation
Car Evaluation Data Set
rUniformForest.combine
Incremental learning for random Uniform Forests
rUniformForest.big
Random Uniform Forests for Classification and Regression with large data sets
as.supervised
Conversion of an unsupervised model into a supervised one
internalFunctions
All internal functions
plotTree
Plot a Random Uniform Decision Tree
partialImportance
Partial Importance for random Uniform Forests
breastCancer
Breast Cancer Wisconsin (Original) Data Set
model.stats
Common statistics for a vector of predictions and a vector of responses
randomUniformForest
Random Uniform Forests for Classification, Regression and Unsupervised Learning
biasVarCov
Bias-Variance-Covariance Decomposition
fillNA2.randomUniformForest
Missing values imputation by randomUniformForest
modifyClusters
Change number of clusters (and clusters shape) on the flight
randomUniformForest-package
Random Uniform Forests for Classification, Regression and Unsupervised Learning
clusteringObservations
Cluster observations of a (supervised) randomUniformForest object
rm.trees
Remove trees from a random Uniform Forest
predict.randomUniformForest
Predict method for random Uniform Forests objects
roc.curve
ROC and precision-recall curves for random Uniform Forests
simulationData
Simulation of Gaussian vector
bCI
Bootstrapped Prediction Intervals for Ensemble Models
partialDependenceOverResponses
Partial Dependence Plots and Models
wineQualityRed
Wine Quality Data Set
importance.randomUniformForest
Variables Importance for random Uniform Forests
generic.cv
Generic k-fold cross-validation
getTree.randomUniformForest
Extract a tree from a forest