MAE: MAE

In maxikellerbauer/stAirPol: Spatio-temporal Modelling of Air Pollution Data

Description

MAE

Usage

MAE(z, zhat)

Arguments

z	observed values
zhat	predicted values

Examples

data("mini_dataset")
mini_dataset <- clean_model_data(mini_dataset)
formula = value ~ humi + temp + rainhist + windhist +
  trafficvol + log(sensor_age)
training_set <- get_test_and_training_set(mini_dataset, sampel_size = 0.75,
                                          random.seed = 220292)
model.gp <- fit_sp_model(data = mini_dataset, formula = formula,
                         model = 'GP', training_set = training_set)
pred.gp <- predict(model.gp, mini_dataset, training_set)
MAE(pred.gp$value, pred.gp$prediction)

maxikellerbauer/stAirPol documentation built on May 3, 2019, 3:16 p.m.