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  1. fetch_species_distributions — scikit-learn 1.8....

    Gallery examples: Species distribution modeling Kernel Density Estimate of Species Distributions
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_species_distributions.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. ExtraTreesClassifier — scikit-learn 1.8.0 docum...

    Gallery examples: Plot the decision surfaces of ensembles of trees on the iris dataset Hashing feature transformation using Totally Random Trees Release Highlights for scikit-learn 1.6
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.ExtraTreesClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
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  3. MiniBatchNMF — scikit-learn 1.8.0 documentation

    Gallery examples: Topic extraction with Non-negative Matrix Factorization and Latent Dirichlet Allocation Release Highlights for scikit-learn 1.1
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchNMF.html
    Mon Mar 23 20:39:20 UTC 2026
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  4. RandomTreesEmbedding — scikit-learn 1.8.0 docum...

    Gallery examples: Feature transformations with ensembles of trees Hashing feature transformation using Totally Random Trees Manifold learning on handwritten digits: Locally Linear Embedding, Isomap…
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html
    Mon Mar 23 20:39:20 UTC 2026
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  5. BaggingRegressor — scikit-learn 1.8.0 documenta...

    Gallery examples: Single estimator versus bagging: bias-variance decomposition
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.BaggingRegressor.html
    Mon Mar 23 20:39:23 UTC 2026
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  6. DummyClassifier — scikit-learn 1.8.0 documentation

    Gallery examples: Multi-class AdaBoosted Decision Trees Post-tuning the decision threshold for cost-sensitive learning Detection error tradeoff (DET) curve Class Likelihood Ratios to measure classi...
    scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html
    Mon Mar 23 20:39:23 UTC 2026
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  7. fetch_california_housing — scikit-learn 1.8.0 d...

    Gallery examples: Comparing Random Forests and Histogram Gradient Boosting models Early stopping in Gradient Boosting Imputing missing values with variants of IterativeImputer Imputing missing valu...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. load_sample_image — scikit-learn 1.8.0 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version load_sample_image # sklearn.datasets. load_sample_ima...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_sample_image.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. LinearDiscriminantAnalysis — scikit-learn 1.8.0...

    Gallery examples: Normal, Ledoit-Wolf and OAS Linear Discriminant Analysis for classification Linear and Quadratic Discriminant Analysis with covariance ellipsoid Comparison of LDA and PCA 2D proje...
    scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi...
    Mon Mar 23 20:39:21 UTC 2026
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  10. UndefinedMetricWarning — scikit-learn 1.8.0 doc...

    Skip to main content Back to top Ctrl + K GitHub Choose version UndefinedMetricWarning # exception sklearn.exceptions...
    scikit-learn.org/stable/modules/generated/sklearn.exceptions.UndefinedMetricWarning.html
    Mon Mar 23 20:39:21 UTC 2026
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