PlacementStudyScenario
Controlled_Studies scenarios · Implementation: mlsysim/engine/scenario_definitions/controlled_studies.py.
Construct this scenario with keyword inputs. The fields below show the types and defaults declared by this class.
Versioned authored placement inputs for explicit constraint screening.
Notes
Equation: fixture lookup = fixtures indexed by the requested track. Assumptions: Fixture quantities use their declared field units and version. Excludes: Measured deployment performance and certification of a target device.
References
Implementation reference: mlsysim.engine.deployment_journeys.load_deployment_journeys.
Examples
>>> from mlsysim import Scenarios
>>> "tinyml" in Scenarios.PlacementStudy.fixtures["tracks"]
TrueAttributes
| Name | Description |
|---|---|
| fixtures | |
| provenance | |
| version |
version
Type: str.
Declared default: required.
fixtures
Type: dict.
Declared default: required.
provenance
Type: Provenance.
Declared default: required.