novainsilico/jinko

v1.15.0MIT

Skills for quantitative systems pharmacology using Jinkō platform. Support the full modeling workflow: gathering evidence and observed data, building and calibrating models, estimating uncertainty, running sensitivity analyses, creating virtual populations, simulating clinical trials, visualizing results, and producing analysis.

GitHub Open Website

skills

jinko-calibration-cmaes

Create, run, poll, and inspect results for Jinkō CMA-ES calibrations via the jinko-sdk: attach data tables and/or an advanced output set as fitness-function sources, set CMA-ES options and parameter priors, launch and monitor the run, and read performance/results payloads. Use whenever the user needs the SDK mechanics of building or driving a Calibration object. Do not use this skill for calibration business rules (defaults, diagnostics, deliverable rules). Do not use this skill for advanced output set / scoring design authoring — use jinko-output-set. Do not use this skill for data-table creation or validForFitnessFunction checks — use jinko-data-table. Do not use this skill for model or protocol authoring — use jinko-model / jinko-protocol. Do not use this skill for calibration-plan orchestration or iteration workflow.

License: MIT
Compatibility: Check set-up with jinko-sdk-setup. Creating/running calibrations requires write and run permissions.

Read SKILL.md at the source

Pinned to revision f5510623cac3, so it is the text this page describes rather than whatever the author pushed since.

Files

Every link opens the file at its source, pinned to the revision this page describes.