Make_All_Preds: Make Predictions

In AndrewjSage/RFLOWESS: A robust approach to random forest regression

Description

Function to make predictions for all methods tested in simulation

Usage

Make_All_Preds(DATA, ntrees, ndsize, ntreestune, parvec, cvreps, cvfolds, tol)

Arguments

DATA	object from generate_RLdata or generate_LMdata
ntrees	number of trees
ndsize	nodesize
ntreestune	number of trees to use for tuning alpha
parvec	vector of candidate values for tuning parameter alpha
cvreps	number of repetitions to perform in cross validation
cvfolds	number of folds to perform in cross validation
tol	maximal change in interation for LOWESSRF weights in cross validation

Value

returns a list of 4 items 1. Datasets (TRAIN, TEST, and Outlier Indicator) 2. Matrix of 16 columns giving different predictions. Last column is true Y. 3. Number of iterations 4. Output from TuneMultifoldCV (a list of 8 items itself)

AndrewjSage/RFLOWESS documentation built on May 26, 2019, 6:38 a.m.