Retrieve the Akaike information criterion (AIC) value
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)
object |
An H2OModel or H2OModelMetrics. |
train |
Retrieve the training AIC |
valid |
Retrieve the validation AIC |
xval |
Retrieve the cross-validation AIC |
## 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)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.