Learn R Programming

h2o (version 3.40.0.4)

h2o.residual_deviance: Retrieve the residual deviance

Description

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

Usage

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

Arguments

object

An H2OModel or H2OModelMetrics

train

Retrieve the training residual deviance

valid

Retrieve the validation residual deviance

xval

Retrieve the cross-validation residual deviance

Examples

Run this code
if (FALSE) {
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.residual_deviance(prostate_glm, train = TRUE)
}

Run the code above in your browser using DataLab