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  1. SGD: convex loss functions — scikit-learn 1.5.2...

    A plot that compares the various convex loss functions supported by SGDClassifier. Total running time of the script:(0 minutes 0.122 seconds) Launch binder Launch JupyterLite Download Jupyter noteb...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_loss_functions.html
    Sat Nov 23 04:49:15 UTC 2024
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  2. Kernel Density Estimate of Species Distribution...

    This shows an example of a neighbors-based query (in particular a kernel density estimate) on geospatial data, using a Ball Tree built upon the Haversine distance metric – i.e. distances over point...
    scikit-learn.org/stable/auto_examples/neighbors/plot_species_kde.html
    Sat Nov 23 04:49:15 UTC 2024
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  3. Plotting Cross-Validated Predictions — scikit-l...

    This example shows how to use cross_val_predict together with PredictionErrorDisplay to visualize prediction errors. We will load the diabetes dataset and create an instance of a linear regression ...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_predict.html
    Sat Nov 23 04:49:15 UTC 2024
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  4. fetch_olivetti_faces — scikit-learn 1.5.2 docum...

    Gallery examples: Online learning of a dictionary of parts of faces Faces dataset decompositions Pixel importances with a parallel forest of trees Face completion with a multi-output estimators
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_olivetti_faces.html
    Sat Nov 23 04:49:14 UTC 2024
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  5. load_breast_cancer — scikit-learn 1.5.2 documen...

    Gallery examples: Post pruning decision trees with cost complexity pruning Model-based and sequential feature selection Permutation Importance with Multicollinear or Correlated Features Effect of v...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_breast_cancer.html
    Sat Nov 23 04:49:16 UTC 2024
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  6. has_fit_parameter — scikit-learn 1.5.2 document...

    Skip to main content Back to top Ctrl + K GitHub has_fit_parameter # sklearn.utils.validation. has_fit_parameter ( es...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.has_fit_parameter.html
    Sat Nov 23 04:49:14 UTC 2024
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  7. make_gaussian_quantiles — scikit-learn 1.5.2 do...

    Gallery examples: Plot randomly generated classification dataset Multi-class AdaBoosted Decision Trees Two-class AdaBoost
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_gaussian_quantiles.html
    Sat Nov 23 04:49:15 UTC 2024
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  8. make_swiss_roll — scikit-learn 1.5.2 documentation

    Gallery examples: Hierarchical clustering: structured vs unstructured ward Swiss Roll And Swiss-Hole Reduction
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_swiss_roll.html
    Sat Nov 23 04:49:15 UTC 2024
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  9. permutation_test_score — scikit-learn 1.5.2 doc...

    Gallery examples: Test with permutations the significance of a classification score
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html
    Sat Nov 23 04:49:15 UTC 2024
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  10. dict_learning_online — scikit-learn 1.5.2 docum...

    Skip to main content Back to top Ctrl + K GitHub dict_learning_online # sklearn.decomposition. dict_learning_online (...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.dict_learning_online.html
    Sat Nov 23 04:49:15 UTC 2024
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