run_one_experiment: Run one in-set/out-set error estimation experiment

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

Description

Run one in-set/out-set error estimation experiment

Usage

run_one_experiment(data, in_set_perc, form, in_estimators, in_est.pars,
  out_estimator = "t_oos", out_est.pars = list(tr.perc = in_set_perc),
  workflow = "simple_workflow", wf.pars = NULL,
  evaluator = "evaluate", eval.pars = NULL, seed = 1234,
  site_id = "site", time = "time")

Arguments

data	a data frame
in_set_perc	a fraction of the data to be used as in-set
form	a learning formula
in_estimators	a vector of names of estimator functions to use on the in-set data
in_est.pars	a named list of the same length as in_estimators containing lists of arguments to feed to each estimator apllied to the in-set data
out_estimator	the name of the estimator function to use on the out-set data
out_est.pars	a list containing arguments to feed to the estimator apllied to the out-set data
workflow	the name of the function implementing a workflow
wf.pars	a list of arguments to feed to workflow
evaluator	the name of the function to calculate evaluation metrics
eval.pars	a list of arguments to feed to evaluator
seed	a seed to set at the start of the experiment
site_id	the name of the data column containing location identifiers
time	the name of the data column containing time-stamps

Value

A list with two slots: out_estRes containing the results of the out-set estimators, and in_estRes containing a list of results of each estimator used on in-set data

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