Takes a set of parameters and uses a set of emulators to generate predictions of simulator output, then adds these to the database
1 2 3 4 | use_emulators_to_make_and_store_predictions(dblink, sim_emulators,
parameters, measures, data_to_predict, normalise = FALSE,
normalise_result = FALSE, experiment_description,
experiment_date = Sys.Date())
|
dblink |
A link to the database in which this table is being created |
sim_emulators |
Emulation object created by spartan |
parameters |
The parameters of the simulation that are being analysed |
measures |
The measures of the simulation that are being assessed |
data_to_predict |
Sets of parameters for which simulation output measures should be predicted |
normalise |
Whether the data_to_predict should be normalised prior to making predictions. Defaults to FALSE |
normalise_result |
Whether the predictions generated should be normalised using the scale set in the emulator. Defaults to FALSE |
experiment_description |
Description of this experiment, to be added to the database |
experiment_date |
Date this experiment was performed. Defaults to that day's date |
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