warmstart.ontram: Set initial weights

In LucasKookUZH/ontram-pkg: Ordinal transformation model neural networks

Set initial weights

Description

Set initial weights

Usage

## S3 method for class 'ontram'
warmstart(object, object_w, which = c("all", "baseline only", "shift only"))

Arguments

object	an object of class ontram.
object_w	an object of class Polr from which model weights are taken.

Examples

library(tram)
data("wine", package = "ordinal")
fml <- rating ~ temp + contact
x_train <- model.matrix(fml, data = wine)[, -1L]
y_train <- model.matrix(~ 0 + rating, data = wine)
mp <- Polr(fml, data = wine)
mo <- ontram_polr(x_dim = ncol(x_train), y_dim = ncol(y_train))
coef(mp, with_baseline = T)
warmstart(mo, mp, "all")
mod_weights(mo)

LucasKookUZH/ontram-pkg documentation built on March 27, 2023, 6:05 p.m.