Retrieve the Akaike information criterion (AIC) value

Source: R/models.R

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

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

Arguments

object

An H2OModel or H2OModelMetrics.
train

Retrieve the training AIC
valid

Retrieve the validation AIC
xval

Retrieve the cross-validation AIC

Examples

# NOT RUN {
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
p_sid <- h2o.runif(prostate)
prostate_train <- prostate[p_sid > .2,]
prostate_glm <- h2o.glm(x = 3:7, y = 2, training_frame = prostate_train)
aic_basic <- h2o.aic(prostate_glm)
print(aic_basic)
# }