{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/9"},{"label":"Information Analysis","url":"https://skillfed.io/packages/category/scientific-engineering-information-analysis/4"},{"label":"Bio-Informatics","url":"https://skillfed.io/packages/category/scientific-engineering-bio-informatics"}],"enrichment":{"capability":"Scikit-multilearn performs multi-label classification tasks using problem-transformation and algorithm-adaptation methods, built on numpy and scikit-learn with a compatible API.","skillfed_tags":["multi-label-learning","abandoned-package"],"use_cases":["Text categorization where documents can belong to multiple topics simultaneously.","Image tagging where a single image can have multiple relevant labels or tags.","Biological sequence annotation where genes or proteins may have multiple functional roles.","Recommendation systems where items can belong to multiple categories or user interests.","Medical diagnosis where a patient may have multiple concurrent conditions."],"what_it_does":"Scikit-multilearn is a Python library for multi-label classification\u2014problems where each sample can belong to multiple classes simultaneously. It implements problem-transformation methods and algorithm-adaptation approaches, built on top of numpy and scipy with an API modeled after scikit-learn. The library also provides a wrapper for MEKA, MULAN, and WEKA, and includes community-detection-based clusterers for label correlation.\n\nThe project has been abandoned since 2018-12-10 with no active maintenance, meaning it will not receive updates for compatibility with newer Python or dependency versions, nor any security patches. Installation is low-friction with pure Python wheels, but long-term viability for new projects is questionable.","worth_installing":"No, unless you are maintaining legacy code. The package is abandoned (last release 2018-12-10) and will not receive updates for modern Python or dependency versions. For new multi-label classification projects, consider actively maintained alternatives. If you must use it, pin all dependencies to versions known to work with scikit-multilearn 0.2.0 and test thoroughly."},"id":"scikit-multilearn","links":{"html":"https://skillfed.io/packages/scikit-multilearn","md":"https://skillfed.io/packages/scikit-multilearn.md","pypi":"https://pypi.org/project/scikit-multilearn/"},"maintenance":{"status":"abandoned"},"meta":{"latest_release":"2018-12-10","license_spdx":null,"license_treatment":"permissive","name":"scikit-multilearn","python_support":"unspecified","summary":"Scikit-multilearn is a BSD-licensed library for multi-label classification that is built on top of the well-known scikit-learn ecosystem."},"popularity":{"monthly_downloads":77746,"position":14500,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.2.0"}