Retrieves the mean absolute error (MAE) value from an H2O model. If "train", "valid", and "xval" parameters are FALSE (default), then the training MAE value is returned. If more than one parameter is set to TRUE, then a named vector of MAEs are returned, where the names are "train", "valid" or "xval".
Arguments
- object
An H2OModel object.
- train
Retrieve the training MAE
- valid
Retrieve the validation set MAE if a validation set was passed in during model build time.
- xval
Retrieve the cross-validation MAE
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.mae(m)
} # }