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optimization toolbox for machine learning

Project description

Cyanure is an open-source C++ software package with a Python 3 interface. The goal of Cyanure is to provide state-of-the-art solvers for learning linear models, based on stochastic variance-reduced stochastic optimization with acceleration mechanisms and Quasi-Newton principles. Cyanure can handle a large variety of loss functions (logistic, square, squared hinge, multinomial logistic) and regularization functions (l2, l1, elastic-net, fused Lasso, multi-task group Lasso). It provides a simple Python API, which should be fully compatible with scikit-learn.

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cyanure-1.1.0-cp311-cp311-win_amd64.whl (12.6 MB view hashes)

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cyanure-1.1.0-cp311-cp311-macosx_10_9_x86_64.whl (15.9 MB view hashes)

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cyanure-1.1.0-cp310-cp310-win_amd64.whl (12.6 MB view hashes)

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cyanure-1.1.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (15.2 MB view hashes)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

cyanure-1.1.0-cp310-cp310-macosx_11_0_arm64.whl (7.2 MB view hashes)

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cyanure-1.1.0-cp310-cp310-macosx_10_9_x86_64.whl (15.9 MB view hashes)

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cyanure-1.1.0-cp39-cp39-win_amd64.whl (12.6 MB view hashes)

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cyanure-1.1.0-cp39-cp39-macosx_11_0_arm64.whl (7.2 MB view hashes)

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cyanure-1.1.0-cp39-cp39-macosx_10_9_x86_64.whl (15.9 MB view hashes)

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cyanure-1.1.0-cp38-cp38-win_amd64.whl (12.6 MB view hashes)

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Uploaded CPython 3.8 manylinux: glibc 2.17+ x86-64

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cyanure-1.1.0-cp38-cp38-macosx_10_9_x86_64.whl (15.9 MB view hashes)

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cyanure-1.1.0-cp37-cp37m-win_amd64.whl (12.6 MB view hashes)

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cyanure-1.1.0-cp36-cp36m-win_amd64.whl (12.7 MB view hashes)

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