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".
h2o.mae(object, train = FALSE, valid = FALSE, xval = FALSE)
object | An H2OModel object. |
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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 |
# NOT RUN { library(h2o) h <- h2o.init() fr <- as.h2o(iris) m <- h2o.deeplearning(x = 2:5, y = 1, training_frame = fr) h2o.mae(m) # }