h2o.null_deviance function

Retrieve the null deviance

Retrieve the null deviance

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

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

Arguments

  • object: An H2OModel or H2OModelMetrics
  • train: Retrieve the training null deviance
  • valid: Retrieve the validation null deviance
  • xval: Retrieve the cross-validation null deviance

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_deviance(prostate_glm, train = TRUE) ## End(Not run)
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11