h2o (version 3.30.0.1)

h2o.logloss: Retrieve the Log Loss Value

Description

Retrieves the log loss output for a '>H2OBinomialMetrics or '>H2OMultinomialMetrics object If "train", "valid", and "xval" parameters are FALSE (default), then the training Log Loss value is returned. If more than one parameter is set to TRUE, then a named vector of Log Losses are returned, where the names are "train", "valid" or "xval".

Usage

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

Arguments

object

a '>H2OModelMetrics object of the correct type.

train

Retrieve the training Log Loss

valid

Retrieve the validation Log Loss

xval

Retrieve the cross-validation Log Loss

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)
cars["economy_20mpg"] <- as.factor(cars["economy_20mpg"])
predictors <- c("displacement","power","weight","acceleration","year")
response <- "economy_20mpg"
cars.splits <- h2o.splitFrame(data =  cars, ratios = .8, seed = 1234)
train <- cars.splits[[1]]
valid <- cars.splits[[2]]
car_drf <- h2o.randomForest(x = predictors, 
                            y = response, 
                            training_frame = train, 
                            validation_frame = valid)
h2o.logloss(car_drf, train = TRUE, valid = TRUE)
# }