compressAllRes: Compress results from all (artificial) experiments

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

Description

Compress results from all (artificial) experiments

Usage

compressAllRes(all.res, rmAllRaw = F)

Arguments

all.res	a list with multiple levels (model, grid size, series size and lists of full results of multiple experiments)
rmAllRaw	a boolean indicating whether the whole rawRes should be removed (defaults to FALSE). If TRUE, only "train" data will be removed from each set of results

Value

A multi-level list containing compressed results. Either all rawRes is removed, or train is substituted by a vector of the number of instances, time and location IDs in the training set, in both out_estRes and in_estRes.

See Also

summarize_all_art_exps, run_all_experiments

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