RotMatRF: Create a Projection Matrix: Random Forest (RF)

In ODRF: Oblique Decision Random Forest for Classification and Regression

Create a Projection Matrix: Random Forest (RF)

Description

Create a projection matrix with coefficient 1 and 0 such that the ODRF (ODT) has the same partition variables as the Random Forest (CART).

Usage

RotMatRF(dimX, numProj, catLabel = NULL, ...)

Arguments

dimX	The number of dimensions.
numProj	The number of projection directions (default ceiling(sqrt(dimX))).
catLabel	A category labels of class list in predictors. (default NULL, for details see Examples of ODT)
...	Used to handle superfluous arguments passed in using paramList.

Value

A random matrix to use in running ODT.

• Variable: Variables to be projected.

• Number: Number of projections.

• Coefficient: Coefficients of the projection matrix.

See Also

RotMatPPO RotMatRand RotMatMake

Examples

paramList <- list(dimX = 8, numProj = 3, catLabel = NULL)
set.seed(2)
(RotMat <- do.call(RotMatRF, paramList))

ODRF documentation built on May 31, 2023, 8:22 p.m.