Release 1.1.0 - #75
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precise had no publish workflow, so a GitHub release did nothing. This mirrors humpday: build, check, test-install the wheel, then upload, with trusted publishing over OIDC rather than a stored token. PyPI needs a publisher configured for this repository, the publish.yml workflow and the pypi environment before an upload will be accepted. 1.1.0 rather than 1.0.1: three new estimators is a feature release. No public API was removed, though two behaviours change -- suggest() recommends differently now that the frozen model is not inert, and LedoitWolfCovariance no longer collapses under heavy tails. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
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Version bump, changelog, and a publish workflow —
precisehad none, so creating a GitHub release did nothing.Why 1.1.0 rather than 1.0.1
Three new estimators is a feature release. No public API was removed. Two behaviours do change, and the changelog says so:
suggest()recommends differently, because the frozen model was inert and now isn'tLedoitWolfCovarianceno longer collapses to a scaled identity under heavy tailsThe publish workflow
Mirrors humpday's: build →
twine check→ test-install the wheel → upload, so a wheel that can't be installed never reaches PyPI. The install check importspreciseand countsall_estimators().Authentication is trusted publishing (OIDC,
id-token: write), not a stored token.microprediction/precisepublish.ymlpypiUntil that exists, build and test-install will pass and the publish job will fail on authentication. Nothing is uploaded in that case, so it's safe to find out by trying.
Changelog
The 1.1.0 entry covers the three nonlinear shrinkers already logged under Unreleased, plus what this session fixed: the inert recommender (46 of 47 tree nodes carried no weight), irreproducible training when
randomcovis installed, a training grid that made every low-dimensional problem an extrapolation, and the LedoitWolf heavy-tail collapse (0.088 → 0.409 structure retained at t(3)).🤖 Generated with Claude Code