jinko-calibration-subsampling
Jinkō Subsampling SDK Workflows
| UI wording | API project-item type | SDK entry points |
|---|---|---|
| Subsampling design | SubsamplingDesign |
trial.create_subsampling_design(...), client.get_subsampling_design(...) |
| Subsampled Vpop | Vpop |
design.generate_vpop(...) |
Subsampling creates a derived, smaller Vpop by selecting patients from the Vpop simulated in a completed Trial so that the selected population best matches specified population-level targets.
It neither calibrates the model nor creates new patients.
Use jinko-trial to create, sanity-check, and run the source Trial, and jinko-vpop to inspect the generated Vpop.
Scientific choices belong to a workflow or domain expert, not this skill.
PREREQUISITE: This skill needs an initialized
jinko-sdkconnection and an SDK satisfying itsmetadata.requires_sdkrange. Run thejinko-sdk-setupskill (../jinko-sdk-setup/SKILL.md) and proceed only once its check passes. A session code can be exchanged only once, so callget_session_codeagain before this skill's own SDK process. If that skill is not found, install it fromnovainsilico/jinko-skills.