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)An H2OModel or H2OModelMetrics
Retrieve the training residual degrees of freedom
Retrieve the validation residual degrees of freedom
Retrieve the cross-validation residual degrees of freedom
if (FALSE) { # \dontrun{
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)
} # }