Hyperparameter search
Explore independent configurations in parallel and select one with a reproducible objective.
Activity responsibilities
| Activity | Responsibility |
|---|---|
prepare-dataset | Execute the prepare dataset stage and publish its declared outputs for downstream activities. |
trial-1 | Execute the trial 1 stage and publish its declared outputs for downstream activities. |
trial-2 | Execute the trial 2 stage and publish its declared outputs for downstream activities. |
trial-n | Execute the trial N stage and publish its declared outputs for downstream activities. |
compare-trials | Execute the compare trials stage and publish its declared outputs for downstream activities. |
register-best | Execute the register best stage and publish its declared outputs for downstream activities. |
Inputs
- Dataset snapshot
- Search space
- Selection objective
Outputs
- Trial models
- Leaderboard
- Selected model
Provenance to preserve
- Parameters per trial
- Failures and retries
- Selection rationale
Runnable example
This is the complete checked-in bundle for this pattern. Download the environment, scope, topology, workflow, input, container recipe, runner, and validation contract from this page before executing it.
Verified local execution
These captures and the output manifest were produced by the fixture's local Docker run and validator. They are published with the same bundle as the runnable files.



Execution considerations
Cap concurrent trials by accelerator capacity, budget, or queue policy. Reuse trial identities when resuming the workflow.
AkôFlow boundary: the engine schedules, deploys, executes, transfers data, and records evidence. The ML or agent framework remains an implementation choice inside each activity.