
Worked on improving the aeon-toolkit/aeon repository by enhancing the accuracy of API documentation for the Datasets module. Focused on aligning the user-facing Markdown documentation with the actual Python code exports, specifically clarifying the save_to_ts_file API and removing outdated references to non-existent functions. This effort reduced onboarding friction and minimized support overhead by ensuring that documentation accurately reflected the available functionality and internal implementation. Utilized skills in API design and documentation to update both the reference docs and the __init__.py re-exports, resulting in clearer guidance for users and a more maintainable documentation process for the project.
April 2026 (2026-04) highlights: Documentation accuracy improvement for the aeon library, aligning user-facing API docs with the actual code exports to reduce onboarding friction and support overhead. This work focused on clarifying the save_to_ts_file API in the Datasets surface and removing references to non-existent functions, reflecting the real export path and internal implementation.
April 2026 (2026-04) highlights: Documentation accuracy improvement for the aeon library, aligning user-facing API docs with the actual code exports to reduce onboarding friction and support overhead. This work focused on clarifying the save_to_ts_file API in the Datasets surface and removing references to non-existent functions, reflecting the real export path and internal implementation.

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