Takes a previous emulator generation experiment stored in the database and regenerates the emulators. Ensures emulators can be regenerated from the same data
1 2 3 | regenerate_emulators_from_db_data(dblink, parameters, measures,
emulator_list, normalise_set = FALSE, experiment_id = NULL,
experiment_description = NULL, experiment_date = NULL)
|
dblink |
A link to the database in which this table is being created |
parameters |
The parameters of the simulation that are being analysed |
measures |
The measures of the simulation that are being assessed |
emulator_list |
Vector of the types of emulation model to create. Accepted abbreviations are: SVM (Support-Vector Machine), GP (Gaussian Process Model), NNET (Neural Network), RF (Random Forest), GLM (General Linear Model) |
normalise_set |
Whether data retrieved from the database should be normalised |
experiment_id |
List of experiment IDs in the database that form the test, training, and validation sets |
experiment_description |
If not searching for previous result by ID, can use experiment description and date instead |
experiment_date |
If not searching for previous result by ID, can use experiment description and date instead |
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