evaluate_prediction: evaluate_prediction

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

Description

evaluate_prediction

Usage

evaluate_prediction(pred, round = 2, ...)

Arguments

pred	an object as returned by predict.stAirPol.model
round	digits for round the measures
...

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)
evaluate_prediction(pred.gp)

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