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The recent changes introduce a new document on "Tokenization and Tensorization for MEDS Models," providing a comprehensive framework for preparing MEDS data for deep learning. It details processes such as normalization, tokenization, and tensorization, enhancing data structuring for machine learning applications. Additionally, the mkdocs.yml
file has been updated to improve navigation by including a dedicated link to the new section, ensuring users can easily find relevant information.
Files | Change Summary |
---|---|
docs/tokenization_tensorization.md | Introduced a new document outlining normalization, tokenization, and tensorization for MEDS data, with strategies for organizing patient measurement data. |
mkdocs.yml | Added a new entry for "Tokenization & Tensorization" to enhance documentation structure and navigation. |
In fields of data, hopping free,
Tokens and tensors dance with glee.
Normalized numbers, neat and bright,
Prepare for models, ready for flight!
A rabbit's cheer, through coding we prance,
With every change, we take a chance! 🐇✨
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