Description Usage Arguments Value
Internal function used to generate the requested emulator, and graph training performance
1 2 3 | generate_emulator_model(technique, parameters, measures, dataset,
algorithm_settings, timepoint = NULL, normalised = FALSE,
output_formats = c("pdf"))
|
technique |
Machine learning technique being employed |
parameters |
Parameters on which the model will take as input |
measures |
Simulation responses the model should predict |
dataset |
The training dataset used to create the model |
algorithm_settings |
Algorithm settings object, of parameters used by the emulation creation algorithm |
timepoint |
Simulation timepoint for which an emulator is being created |
normalised |
Whether the data being input as training data has been normalised. Affects whether predictions generated by the emulator are rescaled or not |
output_formats |
File formats in which result graphs should be produced |
Emulator objects of the specified technique for all measures, and performance statistics
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