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

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

Arguments

object

An H2OModel or H2OModelMetrics

train

Retrieve the training residual degrees of freedom

valid

Retrieve the validation residual degrees of freedom

xval

Retrieve the cross-validation residual degrees of freedom

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.residual_dof(prostate_glm, train = TRUE)
# }