Personal Baseline Calibration - #3
Open
SaribAzim wants to merge 3 commits into
Open
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Adds a new baseline.py module implementing personal fatigue baseline calibration, as scoped in the design document (section 3.3). During the first 45 seconds of a session, the baseline is estimated from scores seen so far, with readings flagged as provisional. After the calibration window closes, the baseline locks and stays fixed for the rest of the session. Falls back to a conservative population default if too little calibration data is available. Includes 8 unit tests covering the calibration window, locking behavior, and edge cases. This is scoped to a single logical change per your earlier feedback, session.py integration for recovery ETA will follow as a separate PR.