[v0.1.4] Fix in Registry to validate ClassVar correctly.

What's Changed

• [Bugfix] Registry needs arbitrary_types_allowed=True on internal model for validating ClassVar attributes. by @adivekar-utexas in #7

Full Changelog: v0.1.3...v0.1.4

[v0.1.3] Migrated data processing pipelines from fmcore; various cleanups and fixes

What's Changed

• Migrated data processing pipelines from fmcore to bears by @adivekar-utexas in #6
• Fixed numerous small issues, removed "from typing import *" imports; ran Ruff linter by @adivekar-utexas in #5

Full Changelog: v0.1.2...v0.1.3

[v0.1.2] Migrated from pydantic==1.10.15 to pydantic>=2.10.5

What's Changed

• Minor update to README messaging. by @adivekar-utexas in #3
• Migrated from pydantic==1.10.15 to pydantic>=2.10.5 by @adivekar-utexas in #4

Full Changelog: v0.1.1...v0.1.2

[v0.1.1] Migrated from fmcore with updated dependencies

What's Changed

• Migration of ScalableDataFrame code from fmcore by @adivekar-utexas in #1
• Updated dependencies: python>=3.11.11, pandas==2.*, dask==2024.10.0, ray==2.41.0, torch>=2.5.1, and made corresponding fixes. by @adivekar-utexas in #2

Next Steps

• Update Pydantic dependency from v1 to v2.

Full Changelog: https://github.com/amazon-science/bears/commits/v0.1.1