V0.0.23 Changelog

Changes

sktime support: Added support for sktime models, enabling integration with the sktime forecasting ecosystem. See #278 and #291.
Blog section: Added a new blog section to the documentation site. See #272.
GIFT-Eval experiment updates: Updated the GIFT-Eval experiment with improvements and enhancements. See #259.
Organization links: Updated links throughout the project to point to the timecopilot organization. See #271.

FlowState single ID and h=1 error: Fixed an error in FlowState that occurred when using a single ID and horizon of 1. See #284.
Fix utilsforecast evaluation compatibility: Fixed an issue caused by missing columns. See #282
Prophet insufficient data error in detect_anomalies: Fixed an issue where Prophet would throw an insufficient data error when used in anomaly detection. See #269.
timecopilot-toto version bump: Updated the timecopilot-toto dependency version. See #295.

LLM providers documentation: Added comprehensive documentation for using timecopilot with other LLMs, including examples and explanations. See #256, #263, and #267.
LLM provider examples: Added example notebooks for different LLM providers:
LLM providers example notebook. See #263.
AWS Bedrock example with updated query call. See #274 and #276.
Google LLM endpoint example. See #287.
Documentation link corrections: Fixed and updated links throughout the documentation. See #261.

CI documentation tests: Fixed CI tests for documentation to ensure proper validation. See #266.
MkDocs spelling fix: Fixed a misspelling in the MkDocs configuration that caused CI to fail. See #280.
CI runner optimization: Improved CI runner efficiency by clearing space and caching Hugging Face models. See #285.

Miscellaneous additions: Various improvements and additions. See #273.
Gitignore updates: Added lightning_logs to gitignore to prevent accidental commits. See #275.

Full Changelog: https://github.com/TimeCopilot/timecopilot/compare/v0.0.22...v0.0.23