Retrieves the root mean squared log error (RMSLE) value from an H2O model. If "train", "valid", and "xval" parameters are FALSE (default), then the training rmsle value is returned. If more than one parameter is set to TRUE, then a named vector of rmsles are returned, where the names are "train", "valid" or "xval".

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

Arguments

object

An H2OModel object.

train

Retrieve the training rmsle

valid

Retrieve the validation set rmsle if a validation set was passed in during model build time.

xval

Retrieve the cross-validation rmsle

Examples

# NOT RUN {
library(h2o)

h <- h2o.init()
fr <- as.h2o(iris)

m <- h2o.deeplearning(x = 2:5, y = 1, training_frame = fr)

h2o.rmsle(m)
# }