h2o.aic: Retrieve the Akaike information criterion (AIC) value

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve the Akaike information criterion (AIC) value

Description

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".

Usage

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)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.