Stopping Criteria – catsim.stopping
¶
All implemented classes in this module inherit from a base abstract class
Stopper
. Simulator
allows that a custom stopping criterion be
used during the simulation, as long as it also inherits from
Stopper
.
- class catsim.stopping.MaxItemStopper(max_itens: int)[source]¶
Bases:
catsim.simulation.Stopper
Stopping criterion for maximum number of items in a test
- Parameters
max_itens – the maximum number of items in the test
- stop(index: Optional[int] = None, administered_items: Optional[numpy.ndarray] = None, **kwargs) → bool[source]¶
Checks whether the test reached its stopping criterion for the given user
- Parameters
index – the index of the current examinee
administered_items – a matrix containing the parameters of items that were already administered
- Returns
True if the test met its stopping criterion, else False
- class catsim.stopping.MinErrorStopper(min_error: float)[source]¶
Bases:
catsim.simulation.Stopper
Stopping criterion for minimum standard error of estimation (see
catsim.irt.see()
)- Parameters
min_error – the minimum standard error of estimation the test must achieve before stopping
- stop(index: Optional[int] = None, administered_items: Optional[numpy.ndarray] = None, theta: Optional[float] = None, **kwargs) → bool[source]¶
Checks whether the test reached its stopping criterion
- Parameters
index – the index of the current examinee
administered_items – a matrix containing the parameters of items that were already administered
theta – a float containing the a proficiency value to which the error will be computed
- Returns
True if the test met its stopping criterion, else False