Skill

human-in-the-loop-ml

Provides human-in-the-loop machine learning based on annotation and active learning practice, covering active learning sampling strategies (uncertainty, diversity, representative), evaluation-set security before optimization, annotation workforce ethics and quality control with inter-annotator agreement, ML-assisted annotation QC, interface design for annotators and low-supervision alternatives. Use when designing data labeling programs, active learning loops, annotation quality pipelines or human-in-the-loop review systems.

Bundled with Coacus. Its trust score, security findings and other files are on the plugin page.

npx [email protected] add dandgabr/Coacus