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feat(calibration): implement new linear calibration methods - #12
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What and why
This pull request adds support for two new robust calibration methods—Theil–Sen and repeated median regression—to the sensor calibration workflow. These methods help ensure that a single outlier does not disproportionately affect the calibration, improving reliability. The changes update both the UI and backend logic to recognize, fit, and apply these robust methods, and ensure the frontend matches backend behavior.
Calibration method enhancements:
"theil_sen"and"repeated_median"in both type definitions and the calibration UI, allowing users to select these methods for sensor calibration. [1] [2]theilSenFit,repeatedMedianFit), and logic to detect and apply these methods in calibration calculations, matching backend behavior. [1] [2] [3]UI and reporting improvements:
Type and export updates:
How was this tested?
Hardware impact
hardware-risklabel; a lead must approve!, link the matching PRs:Checklist
dev(ormainfor a release/hotfix, or with a reason given above).envfiles or build output committed