h2o.null_dof: Retrieve the null degrees of freedom

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

Retrieve the null degrees of freedom

Description

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

Usage

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

Arguments

object	An H2OModel or H2OModelMetrics
train	Retrieve the training null degrees of freedom
valid	Retrieve the validation null degrees of freedom
xval	Retrieve the cross-validation null 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.null_dof(prostate_glm, train = TRUE)

## End(Not run)

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