Retrieve the Root Mean Squared Log Error

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".

Usage

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

if (FALSE) { # \dontrun{
library(h2o)

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

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

h2o.rmsle(m)
} # }