h2o.null_deviance: Retrieve the null deviance

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve the null deviance

Description

If "train", "valid", and "xval" parameters are FALSE (default), then the training null deviance value is returned. If more than one parameter is set to TRUE, then a named vector of null deviances are returned, where the names are "train", "valid" or "xval".

Usage

h2o.null_deviance(object, train = FALSE, valid = FALSE, xval = FALSE)

Arguments

object	An H2OModel or H2OModelMetrics
train	Retrieve the training null deviance
valid	Retrieve the validation null deviance
xval	Retrieve the cross-validation null deviance

Examples

## Not run: 
library(h2o)
h2o.init()

prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.importFile(prostate_path)
prostate[, 2] <- as.factor(prostate[, 2])
prostate_glm <- h2o.glm(y = "CAPSULE", x = c("AGE", "RACE", "PSA", "DCAPS"), 
                        training_frame = prostate, family = "binomial", nfolds = 0, 
                        alpha = 0.5, lambda_search = FALSE)
h2o.null_deviance(prostate_glm, train = TRUE)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.