Corpus ID: 211096876

PHOTON - A Python API for Rapid Machine Learning Model Development

@article{Leenings2020PHOTONA,
  title={PHOTON - A Python API for Rapid Machine Learning Model Development},
  author={Ramona Leenings and Nils Ralf Winter and Lucas Plagwitz and Vincent Holstein and Jan Ernsting and Jakob Steenweg and Julian Gebker and Kelvin Sarink and Daniel Emden and Dominik Grotegerd and Nils Opel and Benjamin Risse and Xiaoyi Jiang and Udo Dannlowski and Tim Hahn},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.05426}
}
  • Ramona Leenings, Nils Ralf Winter, +12 authors Tim Hahn
  • Published in ArXiv 2020
  • Mathematics, Computer Science
  • This article describes the implementation and use of PHOTON, a high-level Python API designed to simplify and accelerate the process of machine learning model development. It enables designing both basic and advanced machine learning pipeline architectures and automatizes the repetitive training, optimization and evaluation workflow. PHOTON offers easy access to established machine learning toolboxes as well as the possibility to integrate custom algorithms and solutions for any part of the… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 17 REFERENCES

    TensorFlow}: Large-Scale Machine

    • Mart’in Abadi, Ashish Agarwal, +37 authors Xiaoqiang Zheng
    • Learning on Heterogeneous Systems,
    • 2015
    VIEW 3 EXCERPTS
    HIGHLY INFLUENTIAL

    Auto-sklearn: Efficient and Robust Automated Machine Learning

    VIEW 2 EXCERPTS

    Neural Architecture Search with Reinforcement Learning

    VIEW 1 EXCERPT