Submission: owenqueen#36
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PZ data challenge entry: Task Set 1 photo-z via per-quantile HistGradientBoostingRegressor on LSST+Roman magnitudes and colors. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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PZ data challenge entry owenqueen (Owen Queen).
Task sets: 1 (representative training samples).
Method: per-quantile
HistGradientBoostingRegressor(one regressor per CDF level) trained on LSSTugrizy+ RomanYJHmagnitudes and adjacent colors; native NaN handling for non-detections. Predicted quantiles are assembled into aqp.quantp(z) ensemble, with the median quantile as thezmodepoint estimate.Submission data (p(z) estimates + pickled models for cardinal/flagship × 1yr/10yr) are hosted as a release tarball and downloaded by CI via
SUBMISSION_URL.🤖 Generated with Claude Code