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## tsai 1.0.0

Major release with breaking changes. See the CHANGELOG for the full upgrade guide.

### Upgrade guide

  • PyPI users: bump your Python to 3.10+ before pip install -U tsai. On Python 3.9 the upgrade will fail to resolve dependencies.
  • Conda users: switch to pip. The timeseriesai conda channel is no longer updated; new versions ship to PyPI only.
  • Contributors with an existing checkout: git pull, pip install -U -e ".[dev]", then nbdev-install-hooks. settings.ini and setup.py are gone; configuration now lives in pyproject.toml.

### Breaking changes

  • Migrated configuration from settings.ini to pyproject.toml (PEP 621). settings.ini, setup.py, and MANIFEST.in removed.
  • Upgraded to nbdev 3 (CLI commands now use hyphens; underscore aliases still work).
  • Minimum Python is now 3.10 (was 3.9).
  • PyTorch bumped to >=2.12,<3 (was >=1.10,<2.8).
  • fastai bumped to >=2.8.7; fastcore added explicitly as >=1.13.2.
  • scikit-learn bumped to >=1.7,<1.8 (capped due to imbalanced-learn incompat with sklearn 1.8).
  • imbalanced-learn floor raised to >=0.14.
  • Conda packaging dropped; tsai is now distributed via PyPI only.

### Bug fixes uncovered during the migration

  • Datetime dtype tests made pandas-3-compatible.
  • Monash forecasting test marked #|slow.
  • TSStepsSinceStart signature reindented so nbdev-docs can introspect it.
  • Rocket*/MiniRocket*/InceptionRocketFeaturesPlus default values switched from numpy arrays to tuples for show_doc compatibility.
  • tsai/imports.py no longer reads the deleted settings.ini.
Source: README.md, updated 2026-05-26