h2o: h2o.null_deviance – R documentation

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h2o.null_deviance

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

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2

Apache License (== 2.0)

Authors

Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]

Initial release

2021-04-29

h2o.null_deviance

Description

Usage

Arguments

Examples

h2o

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