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)
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 |
# 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) # }