aksnzhy/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.
This tool helps data scientists and machine learning engineers quickly build predictive models on very large datasets. You input sparse, high-dimensional data, common in areas like recommendation systems, and it outputs a trained model ready for predictions. It's designed for practitioners who need fast, scalable solutions for challenging machine learning problems.
3,097 stars. No commits in the last 6 months.
Use this if you need to train linear models or factorization machines on massive datasets with many sparse features efficiently.
Not ideal if your data is small, dense, or if you require more complex deep learning architectures.
Stars
3,097
Forks
515
Language
C++
License
Apache-2.0
Category
Last pushed
Aug 28, 2023
Commits (30d)
0
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