xlearn
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Build and apply machine learning models for large datasets easily with this package.
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Free · no card · unsubscribe anytimeHigh performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
xlearn has 3.1k stars on GitHub. It has been forked 515 times. xlearn is written mainly in C++. It has been in active development since 2017. xlearn is available under the Apache-2.0 license. Its main topics are data-analysis, data-science, factorization-machines, ffm.
What is xlearn?
High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.
Is xlearn open source?
xlearn is an open-source project. It is released under the Apache-2.0 license.
Is xlearn free?
Yes. xlearn is free and open source — you can use, modify and self-host it.
What license does xlearn use?
xlearn is available under the Apache-2.0 license.
What language is xlearn written in?
xlearn is written mainly in C++.
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