Man pages for SoftRandomForest
Classification Random Forests for Soft Decision Trees

BestForestSplitChoosing the best variable for splitting.
ClassModeDetermining the mode from a vector of numbers.
SoftClassForestImplementing a Random Forest of SDTs.
SoftClassMatrixConverting response vector to sparse matrix.
SoftForestPredDepth1Building a single level for the Random Forest of SDTs.
SoftForestPredFeederChoosing the appropriate depth function.
SoftObservationRecording the prediction weights to analyze observation-level...
SoftRandomForest documentation built on May 15, 2019, 5:05 p.m.