ZeroFailureScenario
Robotics scenarios · Implementation: mlsysim/engine/scenario_definitions/robotics/plant.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
trials failure-free trials, bounded at one-sided confidence.
Notes
Equation: Compose mlsysim.solvers.ZeroFailureModel.
Assumptions: The stated fields are inputs to mlsysim.solvers.ZeroFailureModel; its documented validity regime, units, and modeling choices apply unchanged.
Excludes: This scenario adds no measurement, empirical calibration, or mechanisms beyond mlsysim.solvers.ZeroFailureModel.
References
Derivation: this scenario binds its input fields to the referenced implementation contracts: mlsysim.solvers.ZeroFailureModel. The methods below identify any additional arithmetic.
Examples
>>> from mlsysim import Scenarios
>>> case = Scenarios.CleanLoadedStopCampaign
>>> type(case.result).__name__
'ZeroFailureResult'Attributes
| Name | Description |
|---|---|
| confidence | |
| result | Evaluate this scenario through mlsysim.solvers.ZeroFailureModel.solve. Equation: |
| target_rate | |
| trials |
trials
Type: int.
Declared default: required.
confidence
Type: float.
Declared default: required.
target_rate
Type: Optional[float].
Declared default: None.
result
engine.scenario_types.ZeroFailureScenario.result
Evaluate this scenario through mlsysim.solvers.ZeroFailureModel.solve. Equation: pass the stated fields to that implementation; its contract defines the calculation and feasibility tests. Units: each returned field follows the referenced result schema; no independent equation is evaluated by this wrapper.