h2o.mae: Retrieve the Mean Absolute Error Value

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve the Mean Absolute Error Value

Description

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".

Usage

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

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

## 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)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.