h2o.average_objective function

Extracts the final training average objective function of a GLM model.

Extracts the final training average objective function of a GLM model.

h2o.average_objective(model)

Arguments

  • model: an H2OModel object.

Returns

The final training average objective of a GLM model.

Examples

## Not run: library(h2o) h2o.init() f <- "https://s3.amazonaws.com/h2o-public-test-data/smalldata/junit/cars_20mpg.csv" cars <- h2o.importFile(f) predictors <- c("displacement", "power", "weight", "acceleration", "year") response <- "acceleration" cars_model <- h2o.glm(y=response, x=predictors, training_frame = cars, family="gaussian", generate_scoring_history=TRUE) objValue <- h2o.average_objective(cars_model) ## End(Not run)
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11