LogisticRegressionFast: Logistic Regression implementation that uses R's glm

In RSSL: Implementations of Semi-Supervised Learning Approaches for Classification

Logistic Regression implementation that uses R's glm

Description

Logistic Regression implementation that uses R's glm

Usage

LogisticRegressionFast(X, y, lambda = 0, intercept = TRUE, scale = FALSE,
  init = NA, x_center = FALSE)

Arguments

X	matrix; Design matrix for labeled data
y	factor or integer vector; Label vector
lambda	numeric; not used
intercept	logical; Whether an intercept should be included
scale	logical; Should the features be normalized? (default: FALSE)
init	numeric; not used
x_center	logical; Should the features be centered?

RSSL documentation built on March 31, 2023, 7:27 p.m.