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revert(model): disable Platt scaling — insufficient calibration data
CI
#99:
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fix(model): use conservative 50% Platt blend to avoid overcorrection
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feat(model): add Platt scaling post-hoc calibration
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fix(model): treat unknown research as NaN, retrain GPBoost v2
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fix(programs): clarify Yale SOM program as Asset Management (MMS, M2M…
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docs(readme): document community data-contribution calibration and po…
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#94:
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fix: crash in quantpath match when prereqs are missing
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#93:
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fix: revert ruff scope to core/ cli/ only
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#92:
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refactor: deep quality pass across core, CLI, tests, and CI
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improve: rewrite Quick Start and add course template in saved profiles
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improve: save interactive profile to profiles/ for reuse across commands
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#89:
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improve: friendly error when --profile is missing
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#88:
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improve: friendly welcome message when quantpath is run without argum…
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#87:
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fix: use pip3 instead of pip in install instructions
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#86:
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fix: internship country detection + ruff lint errors
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#85:
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improve: robust data contribution with browser fallback and local save
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#84:
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improve: robust data contribution with browser fallback and local save
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#83:
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fix: major classification uses word-level matching, not substring
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#82:
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feat: per-field privacy choice in data contribution
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#81:
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feat: anonymous data contribution via GitHub Issues
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#80:
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fix: calibrate profile adjustments against real admission data
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#79:
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feat: v1+v2 ensemble — v1 base + amplified v2 residual signal
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#78:
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fix: move Tsinghua/Peking to top-intl tier (+0.50)
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fix: rebalance undergrad tier weights — US schools >> Chinese schools
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docs: remove profile adjustment table from README
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