codecov.io and circleci.com. Source code, documentation, and examples are made available on GitHub at https://github.com/luccaportes/Scikit-DYN2SEL.
Mining data streams is a challenge per se. It must be ready to deal with an enormous amount of data and with problems not present in batch machine learning, such as concept drift. Therefore, applying a batch-designed technique, such as dynamic selection of classifiers (DCS) also presents a challenge. The dynamic characteristic of ensembles that deal with streams presents barriers to the application of traditional DCS techniques in such classifiers. scikit-dyn2sel is an open-source python library tailored for dynamic selection techniques in streaming data. scikit-dyn2sel's development follows code quality and testing standards, including PEP8 compliance and automated high test coverage using