Showing 2 open source projects for "lr"

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    xLearn

    xLearn

    High performance, easy-to-use, and scalable machine learning (ML)

    xLearn is a high-performance, easy-to-use, and scalable machine learning package that contains linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM), all of which can be used to solve large-scale machine learning problems. xLearn is especially useful for solving machine learning problems on large-scale sparse data. Many real-world datasets deal with high dimensional sparse feature vectors like a recommendation system where the number of categories and users is on the order of millions. ...
    Downloads: 0 This Week
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  • 2
    The name stands for ensemble learning framework. It is a collection of machine learning algorithms for classification and regression with the possibility of connecting them together via ensemble learning. It is written in C++.
    Downloads: 0 This Week
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