{"repo":"rasbt/mlxtend","free":true,"listed":false,"github":"https://github.com/rasbt/mlxtend","clone":"git clone https://github.com/rasbt/mlxtend.git","description":"A library of extension and helper modules for Python's data analysis and machine learning libraries.","language":"Python","stars":5165,"topics":["python","machine-learning","data-science","data-mining","association-rules","supervised-learning","unsupervised-learning"],"license":null,"category":"machine-learning","readme_excerpt":"Mlxtend (machine learning extensions) is a Python library of useful tools for the day-to-day data science tasks. It is primarily used for: - Ensemble methods such as stacking and voting classifiers - Feature selection and feature extraction techniques - Visualization utilities (e.g., decision regions, confusion matrices) - Plotting helpers for model analysis - Frequent pattern mining, including the Apriori algorithm for association rule mining Sebastian Raschka 2014-2026 Links - Documentation: https://rasbt.github.io/mlxtend - PyPI: https://pypi.python.org/pypi/mlxtend - Changelog: https://rasbt.github.io/mlxtend/CHANGELOG - Contributing: https://rasbt.github.io/mlxtend/CONTRIBUTING - Questions? Check out the GitHub Discussions board Installing mlxtend Using uv To add mlxtend to a uv-managed project, run For a one-off command without changing your current project, run Dev Version The mlxtend version on PyPI may always be one step behind; you can install the latest development version from the GitHub repository by executing Or, you can fork the GitHub repository from https://github.com/rasbt/mlxtend and run mlxtend from your local checkout via Examples --- If you use mlxtend as part of your workflow in a scientific publication, please consider citing the mlxtend repository with the following DOI: - Raschka, Sebastian (2018) MLxtend: Providing machine learning and data science utilities and extensions to Python's scientific computing stack. J Open Source Softw 3(24). --- Licens","default_branch":null,"files":null,"tree":[],"storefront":"/r/rasbt","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/rasbt/mlxtend/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}