h2o.null_deviance {h2o}

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)