chore: release v4.0.0#109
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Bump version 4.0.0b1 -> 4.0.0 and set default finetuning epochs to 50. - deeplc/core.py: finetune() now defaults epochs to 50 (train from scratch unchanged at 25); user-provided train_kwargs["epochs"] still respected - pyproject.toml, uv.lock: version 4.0.0 - CHANGELOG.md: 4.0.0 entry Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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v4.0.0 release
Prep for the v4.0.0 release.
Changes
deeplc/core.py:finetune()now defaultsepochsto 50 (viatrain_kwargs_local.setdefault). Training from scratch (train()) unchanged at 25. User-providedtrain_kwargs["epochs"]is still respected.pyproject.toml/uv.lock: version4.0.0b1->4.0.0.CHANGELOG.md: already contained the4.0.0entry (the epochs change it described is now implemented).Verification
Release step (manual, do after merge)
Publishing is triggered by creating a GitHub release (
release: created-> PyPI trusted publishing + GHCR + Windows installer). After merging this PR tomain:🤖 Generated with Claude Code