Extracts the final training negative log likelihood of a GLM model.

h2o.negative_log_likelihood(model)

Arguments

model	an H2OModel object.

Value

The final training negative log likelihood of a GLM model.

Examples

if (FALSE) {
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)
nllValue <- h2o.negative_log_likelihood(cars_model)
}