Random Uniform Forests for Classification, Regression and Unsupervised Learning

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 |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.