set.control.init: Check and set the initialization parameters for a GMF model

In sgdGMF: Estimation of Generalized Matrix Factorization Models via Stochastic Gradient Descent

Check and set the initialization parameters for a GMF model

Description

Check if the input initialization parameters are allowed and set them to default values if they are not. Returns a list of well-defined options which specify how to initialize a GMF model. See sgdgmf.init for more details upon the methods used for initialisation.

Usage

set.control.init(
  method = c("ols", "glm", "random", "values"),
  type = c("deviance", "pearson", "working", "link"),
  values = list(),
  niter = 5,
  normalize = TRUE,
  verbose = FALSE,
  parallel = FALSE,
  nthreads = 1
)

Arguments

method	initialization method (see sgdgmf.init for more details upon the initialization methods used)
type	residual type to be decomposed (see sgdgmf.init for more details upon the residuals used)
values	list of custom initialization parameters fixed by the user
niter	number if refinement iterations in the "svd" method
normalize	if TRUE, normalize U and V to orthogonal U and lower triangular V
verbose	if TRUE, print the initialization state
parallel	if TRUE, use parallel computing for the "glm" method
nthreads	number of cores to be used in the "glm" method

Value

A list of control parameters for the initialization

See Also

set.control.alg, set.control.cv, sgdgmf.init

Examples

library(sgdGMF)

# Empty call
set.control.init()

# Parametrized call
set.control.init(method = "glm", type = "deviance", niter = 10)

sgdGMF documentation built on April 3, 2025, 7:37 p.m.