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    pykoop
    Digital AssetAvailable

    pykoop

    Faculty of Engineering
    Mechanical Engineering
    McGill University

    pykoop is a Koopman operator identification library written in Python, compatible with scikit-learn. It allows users to specify Koopman lifting functions and regressors to learn linear models of dynamical systems in a lifted space. The library emphasizes modular lifting function construction and leverages scikit-learn's infrastructure for tasks like cross-validation.

    Key Features:

    • Modular design for customizable lifting functions.
    • Integration with scikit-learn for machine learning workflows.
    • Support for control inputs and multi-episode datasets.
    DECAR

    DECAR

    Faculty of Engineering

    Research lab focused on advancing scientific knowledge and innovation.

    JF

    James Richard Forbes

    Digital AssetAvailable

    pykoop

    Faculty of Engineering
    Mechanical Engineering
    McGill University

    pykoop is a Koopman operator identification library written in Python, compatible with scikit-learn. It allows users to specify Koopman lifting functions and regressors to learn linear models of dynamical systems in a lifted space. The library emphasizes modular lifting function construction and leverages scikit-learn's infrastructure for tasks like cross-validation.

    Key Features:

    • Modular design for customizable lifting functions.
    • Integration with scikit-learn for machine learning workflows.
    • Support for control inputs and multi-episode datasets.
    pykoop
    DECAR

    DECAR

    Faculty of Engineering

    Research lab focused on advancing scientific knowledge and innovation.

    JF

    James Richard Forbes

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    Privacy PolicyTerms of Service