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  1. Demo of OPTICS clustering algorithm — scikit-le...

    Finds core samples of high density and expands clusters from them. This example uses data that is generated so that the clusters have different densities. The OPTICS is first used with its Xi clust...
    scikit-learn.org/stable/auto_examples/cluster/plot_optics.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. parametrize_with_checks — scikit-learn 1.6.1 do...

    Gallery examples: Release Highlights for scikit-learn 1.6 Release Highlights for scikit-learn 0.22
    scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.parametrize_with_checks....
    Sat Apr 19 00:31:21 UTC 2025
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  3. 2. Unsupervised learning — scikit-learn 1.6.1 d...

    Gaussian mixture models- Gaussian Mixture, Variational Bayesian Gaussian Mixture., Manifold learning- Introduction, Isomap, Locally Linear Embedding, Modified Locally Linear Embedding, Hessian Eige...
    scikit-learn.org/stable/unsupervised_learning.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. Tweedie regression on insurance claims — scikit...

    This example illustrates the use of Poisson, Gamma and Tweedie regression on the French Motor Third-Party Liability Claims dataset, and is inspired by an R tutorial 1. In this dataset, each sample ...
    scikit-learn.org/stable/auto_examples/linear_model/plot_tweedie_regression_insurance_claims.html
    Sat Apr 19 00:31:21 UTC 2025
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  5. Robust linear estimator fitting — scikit-learn ...

    Here a sine function is fit with a polynomial of order 3, for values close to zero. Robust fitting is demonstrated in different situations: No measurement errors, only modelling errors (fitting a s...
    scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. Agglomerative clustering with and without struc...

    This example shows the effect of imposing a connectivity graph to capture local structure in the data. The graph is simply the graph of 20 nearest neighbors. There are two advantages of imposing a ...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. is_outlier_detector — scikit-learn 1.6.1 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version is_outlier_detector # sklearn.base. is_outlier_detect...
    scikit-learn.org/stable/modules/generated/sklearn.base.is_outlier_detector.html
    Sat Apr 19 00:31:21 UTC 2025
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  8. fetch_20newsgroups_vectorized — scikit-learn 1....

    normalizes each document’s feature vector to unit norm...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_20newsgroups_vectorized.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. Post-tuning the decision threshold for cost-sen...

    Documentation for HistGradientBoosting...TunedThresholdClassi ? Documentation for TunedThresholdClassi...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. Partial Dependence and Individual Conditional E...

    Documentation for ColumnTransformer i...'windspeed'] QuantileTransformer ? Documentation for QuantileTransformer...
    scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html
    Sat Apr 19 00:31:21 UTC 2025
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