t_oos: Time-wise holdout

In mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data: Evaluation procedures for forecasting with spatio-temporal data

Description

Performs one holdout experiment.

Usage

t_oos(data, tr.perc, FUN, form, time = "time", site_id = "site",
  .keepTrain = TRUE, ...)

Arguments

data	full dataset
tr.perc	percentage of data used for training. Remaining will be used for testing
FUN	function with arguments train training set test testing set time column name of time-stamps site_id column name of location identifiers form a formula for model learning ... other arguments
form	a formula for model learning
time	column name of time-stamp in data. Default is "time"
site_id	column name of location identifier in data. Default is "site_id"
.keepTrain	if TRUE (default), instead of the results of FUN being directly returned, a list is created with both the results and a data.frame with the time and site identifiers of the observations used in the training step.
...	other arguments to FUN

Value

The results of FUN. Usually, a data.frame with location identifier site_id, time-stamp time, true values trues and the workflow's predictions preds.

mrfoliveira/Evaluation-procedures-for-forecasting-with-spatio-temporal-data documentation built on April 11, 2021, 10:50 a.m.