II.
SkillArea overview
Reference · liveskill-area:model-validation-testing
Model Validation Testing overview
Validating ML systems before promotion - offline metrics, data-slice checks, failure-case analysis, and pre-release quality gates.
Attributes
displayName
Model Validation Testing
description
Validating ML systems before promotion - offline metrics, data-slice
checks, failure-case analysis, and pre-release quality gates.
domains
expertiseLevels
- intermediate
- expert
Outgoing edges
applies_to2
- domain:ml-ops·DomainMLOps
- domain:data-science·DomainData Science
requires_skill_area1
- skill-area:data-quality-testing·SkillAreaData Quality Testing
Incoming edges
lib_requires_skill_area3
- lib-agent:data-science-ml--integration-tester·LibraryAgentintegration-tester
- lib-agent:data-science-ml--model-trainer·LibraryAgentmodel-trainer
- lib-skill:data-science-ml--pytest-ml-tester·LibrarySkillpytest-ml-tester
prerequisite_for_learning1
- skill-area:machine-learning·SkillAreaMachine Learning
requires_skill_area6
- skill-area:model-registry-management·SkillAreaAutomated Training and Model Registry
- skill-area:hyperparameter-tuning-experiment-management·SkillAreaHyperparameter Tuning and Experiment Management
- skill-area:ml-governance-compliance·SkillAreaML Governance and Compliance
- skill-area:bias-fairness-testing·SkillAreaBias and Fairness Testing
- skill-area:model-robustness-testing·SkillAreaModel Robustness Testing
- skill-area:model-explainability-testing·SkillAreaModel Explainability Testing