xwfGAM: Evaluate the GAM

In xwf: Extrema-Weighted Feature Extraction

Description

Evaluate the generalized additive model for a set of computed extrema-weighted features

Usage

xwfGAM(wL, wR, y, z = NULL)

Arguments

wL	Matrix with left extrema-weighted features
wR	Matrix with right extrema-weighted features
y	Binary vector with outcomes
z	Optional matrix z with extra, linear predictors

Examples

xwf:::xwfGAM(wL = rep(1:45, 10), wR = rep(1:90, 5), y = c(rep(0:1, 225)))

xwf documentation built on Feb. 20, 2020, 9:07 a.m.