Randomer Forest

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Documentation for package ‘rerf’ version 2.0.4

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BICCutFast Find minimizing BIC Cut for Vector
BICCutMclust Find minimizing BIC Cut for Vector
BuildTree RerF Tree Generator
checkInputMatrix Determine if given input can be processed by Urerf.
ComputeSimilarity Compute Similarities
FeatureImportance Compute Feature Importance of a RerF model
flipWeights Change the sign of the weights
getFeatures Extract feature indicies from the sparse projection vector.
getWeights Extract feature weights from the sparse projection vector.
GrowUnsupervisedForest Creates Urerf Tree.
makeA Create rotation matrix used to determine mtry features.
makeAB Create rotation matrix used to determine linear combination of mtry features.
mnist A subset of the MNIST dataset for handwritten digit classification
OOBPredict Compute out-of-bag predictions
PackForest Packs a forest and saves modified forest to disk for use by PackPredict function
PackPredict Compute class predictions for each observation in X
Predict Compute class predictions for each observation in X
PrintTree RerF Tree Printer
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
RunFeatureImportanceBinary Compute Feature Importance of a single RerF tree
RunFeatureImportanceCounts Tabulate the unique feature combinations used in a single RerF tree
RunOOB Predict class labels on out-of-bag observations using a single tree.
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
uniqueByEquivalenceClass Remove unique projections that are equivalent due to a rotation of 180 degrees.
Urerf Unsupervised RerF forest Generator