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 |
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