RGBM.test: Test rgbm predictor

In RGBM: LS-TreeBoost and LAD-TreeBoost for Gene Regulatory Network Reconstruction

Test rgbm predictor

Description

This function tests a regression model for a given X.test feature matrix, Y.test response vector, and working parameters.

Usage

RGBM.test(model, X.test, Y.test, M.test)

Arguments

model	Model returned by RGBM.train function.
X.test	Input S-by-P feature matrix of unseen samples. Columns correspond to features, rows correspond to samples.
Y.test	Input S-element response vector of unseen samples.
M.test	Number of extensions of boosting model to take when predicting response. Must be not greater than M.train used when training boosting model.

Value

Result of regression

Author(s)

Raghvendra Mall <[e-mail]>

RGBM documentation built on April 14, 2023, 9:10 a.m.