findOptimalTuning: Tune Random Rotation Forest parameters.

In arnupretorius/RRotF: Random Rotation Forests

Description

Finds optimal tuning parameters using k-fold cross-validation.

Usage

findOptimalTuning(x, y, k = 10, paraGrid, verboset = TRUE, ...)

Arguments

x	Training data input matrix.
y	Training data response.
k	Number of folds.
paraGrid	Parameter grid to search over for optimal parameters.
verboset	Boolean, if true prints progress, otherwise prints nothing.
...	Additional arguments specified to RRotF.

Value

A list containing the optimal tuning parameters and CV errors per fold.

Author(s)

Arnu Pretorius <[e-mail]>

See Also

kFoldRun

arnupretorius/RRotF documentation built on May 10, 2019, 1:46 p.m.