docs/functions/cv.evaluate.md

In jgygi/SPEAR: SPEAR - Sparse Supervised Bayesian Factor Model for Multi-omic Analyses

cv.evaluate

Evaluate cv SPEAR object

Description

Evaluate cv SPEAR object

Usage

cv.evaluate(
  nlambda = 100,
  calculate.factor.contributions = TRUE,
  max_iter = 10000,
  multinomial_loss = "deviance"
)

Arguments

Argument |Description ------------- |---------------- nlambda | Number of lambdas (defaults to 100) calculate.factor.contributions | Calculate factor contributions? When $params$family == "multinomial" or "ordinal" can save time to put FALSE. Defaults to TRUE. max_iter | Maximum number of iterations (defaults to 10000) multinomial_loss | Type of loss for when $params$family == "multinomial". Can be "deviance" (default) or "misclassification"

jgygi/SPEAR documentation built on July 5, 2023, 5:35 p.m.