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  1. Calibration — scikit-learn 1.5.2 documentation

    Examples illustrating the calibration of predicted probabilities of classifiers. Comparison of Calibration of Classifiers Probability Calibration curves Probability Calibration for 3-class classifi...
    scikit-learn.org/stable/auto_examples/calibration/index.html
    Thu Nov 21 22:17:10 UTC 2024
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  2. Monotonic Constraints — scikit-learn 1.5.2 docu...

    inspired by the XGBoost documentation . import matplotlib.pyplot...HistGradientBoosting ? Documentation for HistGradientBoosting...
    scikit-learn.org/stable/auto_examples/ensemble/plot_monotonic_constraints.html
    Thu Nov 21 22:17:09 UTC 2024
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  3. Enterprise Search documentation [8.16] | Elastic

    » Enterprise Search documentation Enterprise Search Guide:...Workplace Search Product documentation Website search quickstart...
    www.elastic.co/guide/en/enterprise-search/current/index.html
    Wed Nov 20 18:28:27 UTC 2024
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  4. 7.2. Real world datasets — scikit-learn 1.5.2 d...

    would not generalize to other documents that aren’t from this window...example Classification of text documents using sparse features shuffles...
    scikit-learn.org/stable/datasets/real_world.html
    Thu Nov 21 22:17:09 UTC 2024
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  5. SpectralCoclustering — scikit-learn 1.5.2 docum...

    Co-clustering documents and words using bipartite...Co-Clustering algorithm Biclustering documents with the Spectral Co-clustering...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralCoclustering.html
    Thu Nov 21 22:17:08 UTC 2024
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  6. DistanceMetric — scikit-learn 1.5.2 documentation

    See the documentation of the DistanceMetric class...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html
    Thu Nov 21 22:17:08 UTC 2024
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  7. Installing the development version of scikit-le...

    code or documentation improvement). Use Git to...
    scikit-learn.org/dev/developers/advanced_installation.html
    Wed Nov 20 19:47:14 UTC 2024
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  8. MeanShift — scikit-learn 1.5.2 documentation

    ate_bandwidth; see the documentation for that function for hints...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.MeanShift.html
    Thu Nov 21 22:17:10 UTC 2024
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  9. Feature discretization — scikit-learn 1.5.2 doc...

    A demonstration of feature discretization on synthetic classification datasets. Feature discretization decomposes each feature into a set of bins, here equally distributed in width. The discrete va...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html
    Wed Nov 20 19:47:14 UTC 2024
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  10. GMM covariances — scikit-learn 1.5.2 documentation

    Demonstration of several covariances types for Gaussian mixture models. See Gaussian mixture models for more information on the estimator. Although GMM are often used for clustering, we can compare...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html
    Thu Nov 21 22:17:09 UTC 2024
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