CalibratedDecisions.

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Python library that wraps System One decision outputs (Jev, Laya, and related) with split conformal prediction so prediction sets carry a…

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From the repository

Distribution-free coverage guarantees for System One decision models like Jev and Laya

calibrationconformal-predictionmachine-learninguncertainty-quantification

How builders describe it

Python library that wraps System One decision outputs (Jev, Laya, and related) with split conformal prediction so prediction sets carry a statistically targeted coverage rate from a labeled calibration set—without retraining the model.

The decision Jev makes

Any Jev question: yes or no, a choice, or a score, from your own stack.

Where it fits

Official and community SDKs, MCP servers and integrations for calling Jev from the languages and tools you already use. All 625 sdks & integrations projects →

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