The service draws n_scenarios scenarios, each a possible outcome of the
model's random variables. More scenarios describe the uncertainty more
accurately, and take longer to solve. A model whose scenarios are never set is solved
over a single scenario, unless an empirical() sample sets the number by
its length.
Arguments
- m
A
model().- n_scenarios
How many scenarios to draw, at least 1.
- seed
The seed for the draws, at least 1. Left
NULL, the model keeps its current seed.
Details
The number of scenarios and the seed belong to the model, so solving the
same model again uses the same scenarios, and two solves of it can be
compared. The scenarios are drawn by the service, so R's set.seed() has
no effect on them.
The service limits the number of scenarios. A model above the limit is refused when it is solved, with a message that states the limit.