Retrieve the cross-validation holdout predictions

Retrieve the cross-validation holdout predictions

h2o.cross_validation_holdout_predictions(object)

Arguments

object	An H2OModel object.

Value

Returns a H2OFrame

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)
cars["economy_20mpg"] <- as.factor(cars["economy_20mpg"])
predictors <- c("displacement","power","weight","acceleration","year")
response <- "economy_20mpg"
cars_split <- h2o.splitFrame(data = cars,ratios = 0.8, seed = 1234)
train <- cars_split[[1]]
valid <- cars_split[[2]]
cars_gbm <- h2o.gbm(x = predictors, y = response, training_frame = train,
                    nfolds = 5,  keep_cross_validation_predictions = TRUE, seed = 1234)
h2o.cross_validation_holdout_predictions(cars_gbm)
}