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  1. confusion_matrix — scikit-learn 1.6.1 documenta...

    Gallery examples: Release Highlights for scikit-learn 1.5 Visualizations with Display Objects Post-tuning the decision threshold for cost-sensitive learning Label Propagation digits active learning
    scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html
    Sat Apr 19 00:31:21 UTC 2025
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  2. Plot classification probability — scikit-learn ...

    Plot the classification probability for different classifiers. We use a 3 class dataset, and we classify it with a Support Vector classifier, L1 and L2 penalized logistic regression (multinomial mu...
    scikit-learn.org/stable/auto_examples/classification/plot_classification_probability.html
    Sat Apr 19 00:31:21 UTC 2025
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  3. Gaussian Mixture Models — scikit-learn 1.6.1 do...

    Examples concerning the sklearn.mixture module. Concentration Prior Type Analysis of Variation Bayesian Gaussian Mixture Density Estimation for a Gaussian mixture GMM Initialization Methods GMM cov...
    scikit-learn.org/stable/auto_examples/mixture/index.html
    Sat Apr 19 00:31:21 UTC 2025
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  4. Nearest Neighbors Classification — scikit-learn...

    This example shows how to use KNeighborsClassifier. We train such a classifier on the iris dataset and observe the difference of the decision boundary obtained with regards to the parameter weights...
    scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html
    Sat Apr 19 00:31:21 UTC 2025
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  5. pairwise_kernels — scikit-learn 1.6.1 documenta...

    Skip to main content Back to top Ctrl + K GitHub Choose version pairwise_kernels # sklearn.metrics.pairwise. pairwise...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.pairwise_kernels.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. minmax_scale — scikit-learn 1.6.1 documentation

    Gallery examples: Restricted Boltzmann Machine features for digit classification Compare the effect of different scalers on data with outliers
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. ward_tree — scikit-learn 1.6.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version ward_tree # sklearn.cluster. ward_tree ( X , * , conn...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html
    Sat Apr 19 00:31:22 UTC 2025
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  8. polynomial_kernel — scikit-learn 1.6.1 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version polynomial_kernel # sklearn.metrics.pairwise. polynom...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.polynomial_kernel.html
    Sat Apr 19 00:31:20 UTC 2025
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  9. estimate_bandwidth — scikit-learn 1.6.1 documen...

    Gallery examples: A demo of the mean-shift clustering algorithm Comparing different clustering algorithms on toy datasets
    scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. shrunk_covariance — scikit-learn 1.6.1 document...

    Skip to main content Back to top Ctrl + K GitHub Choose version shrunk_covariance # sklearn.covariance. shrunk_covari...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.shrunk_covariance.html
    Sat Apr 19 00:31:22 UTC 2025
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