DiagnosticCoverageScenario
Robotics scenarios · Implementation: mlsysim/engine/scenario_definitions/robotics/diagnostics.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
Fault-rate strata (FIT) to be left at most target FIT unmitigated, shown at confidence.
Notes
Equation: Composition of mlsysim.solvers.DiagnosticCoverageModel.solve.
Assumptions: Inputs are routed to DiagnosticCoverageModel.solve; their documented regimes and units apply to this configuration.
Excludes: Additional mechanisms beyond the linked solver contracts; the scenario does not collect measurements.
References
Derivation: This scenario binds named inputs to DiagnosticCoverageModel. The linked solver contracts own equations, sources, and result-unit definitions.
Examples
Evaluate the named configuration and display a modeled result.
>>> from mlsysim import Scenarios
>>> case = Scenarios.WarehouseDiagnosticCoverageHundredFit
>>> value = case.result.coverage
>>> print(f"{value:.3g}")
0.99Attributes
| Name | Description |
|---|---|
| confidence | |
| result | Evaluate the stated diagnostic coverage case through DiagnosticCoverageModel.solve; returns its typed result and quantity units. |
| strata | |
| target |
strata
Type: Dict[str, float].
Declared default: required.
target
Type: float.
Declared default: required.
confidence
Type: float.
Declared default: required.
result
engine.scenario_types.DiagnosticCoverageScenario.result
Evaluate the stated diagnostic coverage case through DiagnosticCoverageModel.solve; returns its typed result and quantity units.
Calculation: mlsysim.solvers.DiagnosticCoverageModel.solve.