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  1. PairwiseKernel — scikit-learn 1.8.0 docum...

    Skip to main content Back to top Ctrl + K GitHub Choose version...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.PairwiseKernel.html
    Mon Dec 29 13:14:49 GMT 2025
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  2. smacof — scikit-learn 1.8.0 documentation

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    scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html
    Mon Dec 29 13:14:48 GMT 2025
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  3. Advanced Plotting With Partial Dependence &#821...

    Skip to main content Back to top Ctrl + K GitHub Choose version...the curves is to plot them on top of each other. Here, we create...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_partial_dependence_visualization_api.html
    Mon Dec 29 13:14:48 GMT 2025
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  4. load_svmlight_files — scikit-learn 1.8.0 ...

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    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_svmlight_files.html
    Mon Dec 29 13:14:49 GMT 2025
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  5. Search applications - Search API & toolkit ...

    and query geospatial data at top speed with Elasticsearch. Use...
    www.elastic.co/enterprise-search/search-applications
    Mon Dec 29 02:01:02 GMT 2025
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  6. load_diabetes — scikit-learn 1.8.0 docume...

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    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html
    Mon Dec 29 13:14:48 GMT 2025
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  7. fetch_20newsgroups — scikit-learn 1.8.0 d...

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    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups.html
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  8. brier_score_loss — scikit-learn 1.8.0 doc...

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    scikit-learn.org/stable/modules/generated/sklearn.metrics.brier_score_loss.html
    Mon Dec 29 13:14:49 GMT 2025
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  9. Introducing Elastic Learned Sparse Encoder: Ela...

    2025 Top Elastic Agent Builder projects...from Cal Hacks 12.0 Explore the top Elastic Agent Builder projects...
    www.elastic.co/search-labs/blog/introducing-elastic-learned-sparse-encoder-elser
    Mon Dec 08 01:45:10 GMT 2025
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  10. 7.7. Kernel Approximation — scikit-learn ...

    Skip to main content Back to top Ctrl + K GitHub Choose version...given by: \[k(x, y) = (\gamma x^\top y +c_0)^d\] where: x , y are...
    scikit-learn.org/stable/modules/kernel_approximation.html
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