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    A technical look at skore lib’s newest features

    Probabl says its Python library lets data scientists evaluate and track predictive models built with frameworks such as scikit-learn.

    ProbablPR
    1 Source, 22d ago, first seen 22d ago

    TLDR

    Probabl shared a technical update on skore lib’s newest features. The team describes the Python library as a way to evaluate and track predictive models built with machine-learning frameworks such as scikit-learn. It says skore lib makes methodological best practices the default rather than extra work in data-science workflows.

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    250

    1 Source, first seen 22d ago

    Combined views

    250

    1 Source, first seen 22d ago

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    1 Source

    Probabl@probabl_aiskore lib in a nutshell 🥜 skore lib lets data scientists evaluate and track predictive models created with ML frameworks like @scikit_learn, making methodological best practices the default instead of extra work in data science workflows. Try it: https://docs.skore.probabl.ai/stable/auto_examples/getting_started/plot_getting_started.html22d

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

    1 Source

    Probabl@probabl_aiskore lib in a nutshell 🥜 skore lib lets data scientists evaluate and track predictive models created with ML frameworks like @scikit_learn, making methodological best practices the default instead of extra work in data science workflows. Try it: https://docs.skore.probabl.ai/stable/auto_examples/getting_started/plot_getting_started.html22d