h2o.null_deviance: Retrieve the null deviance

Description Usage Arguments Examples

View source: R/models.R

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

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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

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## 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 Oct. 10, 2021, 1:08 a.m.