Randomer Forest

BuildTree | RerF Tree Generator |

checkInputMatrix | Determine if given input can be processed by Urerf. |

ComputeSimilarity | Compute Similarities |

defaults | Default values passed to RandMat* |

FeatureImportance | Compute Feature Importance of a RerF model |

GrowUnsupervisedForest | Creates Urerf Tree. |

makeAB | Create rotation matrix used to determine mtry features. |

mnist | A subset of the MNIST dataset for handwritten digit... |

OOBPredict | Compute out-of-bag predictions |

PackForest | Packs a forest and saves modified forest to disk for use by... |

PackPredict | Compute class predictions for each observation in X |

Predict | Compute class predictions for each observation in X |

RandMatBinary | Create a Random Matrix: Binary |

RandMatContinuous | Create a Random Matrix: Continuous |

RandMatCustom | Create a Random Matrix: custom |

RandMatFRC | Create a Random Matrix: FRC |

RandMatFRCN | Create a Random Matrix: FRCN |

RandMatImageControl | Create a Random Matrix: image-control |

RandMatImagePatch | Create a Random Matrix: image-patch |

RandMatPoisson | Create a Random Matrix: Poisson |

RandMatRF | Create a Random Matrix: Random Forest (RF) |

RandMatTSpatch | Create a Random Matrix: ts-patch |

RerF | RerF forest Generator |

RunFeatureImportance | Compute Feature Importance of a single RerF tree |

RunOOB | Predict class labels on out-of-bag observations using a... |

RunPredict | Predict class labels on a test set using a single tree. |

RunPredictLeaf | Calculate similarity using a single tree. |

StrCorr | Compute tree strength and correlation |

TwoMeansCut | Find minimizing Two Means Cut for Vector |

Urerf | Unsupervised RerF forest Generator |

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