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DecGuard

Reliability testing for probabilistic AI decisions.

DecGuard provides robust reliability testing for probabilistic decisions in complex systems. Key features include: • Define decisions using concise Decision Contracts • Run datasets through any backend for testing • Generate reproducible reliability reports with clear PASS / WARN / FAIL gates • Measure accuracy, calibration, and behavioral invariants • Compare different model versions and analyze production records offline This tool simplifies the process of ensuring decision integrity by centralizing decision definitions and enabling comprehensive testing. It automatically assesses critical metrics like accuracy and calibration, and employs metamorphic fuzzing to stress-test behavioral invariants, identifying potential weaknesses under varied conditions. By providing clear gates, DecGuard integrates seamlessly into continuous integration pipelines, preventing unreliable versions from advancing. DecGuard also supports detailed regression analysis, allowing teams to compare performance between different iterations or backends. It can analyze historical production data offline, offering insights into real-world behavior and drift over time. This makes it an indispensable tool for engineering and data science teams focused on maintaining high standards of decision quality and system robustness across development and deployment cycles.
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