Skip to main content

ProportionPlanningScenario

Statistics scenarios · Implementation: mlsysim/engine/scenario_definitions/statistics.py.

Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.

Planning targets for one acceptance rate and for two independent arms.

Notes

Equation: The result property composes mlsysim.solvers.ProportionPlanningModel.solve with the stored fields and any derived properties described below.

Assumptions: Inputs use the units and validity ranges of mlsysim.solvers.ProportionPlanningModel.solve. The named scenario supplies a fixed configuration rather than observations of a new run.

Excludes: Additional runtime effects or statistical guarantees beyond the cited solver contracts; no measurement is performed by this wrapper.

References

Derivation: The result property composes mlsysim.solvers.ProportionPlanningModel.solve with the stored fields and any derived properties described below. Individual property contracts identify the exact accounting expression or reusable calculation. Registry entries supply the scenario inputs; this class does not turn them into measured outcomes.

Examples

Evaluate a named scenario using its declared inputs.

>>> from mlsysim import Scenarios
>>> scenario = Scenarios.AcceptanceRatePlanning
>>> round(float(scenario.result.z_critical), 4)
1.96

Attributes

Name Description
confidence
differences
planning_tasks
power
rate
result Return the modeled ProportionPlanning result from
significance
target_half_width
z_alpha
z_beta

rate

Type: float.

Declared default: required.

planning_tasks

Type: int.

Declared default: required.

target_half_width

Type: float.

Declared default: required.

differences

Type: List[float].

Declared default: required.

significance

Type: float.

Declared default: required.

power

Type: float.

Declared default: required.

z_alpha

Type: float.

Declared default: required.

z_beta

Type: float.

Declared default: required.

confidence

Type: float.

Declared default: 0.95.

result

engine.scenario_types.ProportionPlanningScenario.result

Return the modeled ProportionPlanning result from mlsysim.solvers.ProportionPlanningModel.solve.

Equation: the scenario supplies its named fields to that solver. Returned quantity units, validity conditions, and omissions follow its calculation contract; this property adds no empirical calibration.

Back to top