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View All on GitHubAI Summary: This issue proposes a significant refactor of the Scikit-Lexicographical-Trees library to create a more modular and extensible "sklearn-style" fork. The goal is to make it easier to add new splitters and their parameters without impacting existing ones, potentially leading to a new library named "Scikit-Learn-Longitudinal-Splitters" and deprecating the current one.
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges
☂️ Scikit-longitudinal (Sklong) is an open-source Python library & Scikit-Learn API compliant, tailored to longitudinal machine learning classification tasks. It is ideal for researchers, data scientists, and analysts, as it provides specialist tools for dealing with repeated-measures data challenges