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  1. sparse_encode — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version sparse_encode # sklearn.decomposition. sparse_encode ...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.sparse_encode.html
    Fri Aug 22 18:00:29 UTC 2025
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  2. shrunk_covariance — scikit-learn 1.7.1 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
    Fri Aug 22 18:00:29 UTC 2025
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  3. kmeans_plusplus — scikit-learn 1.7.1 documentation

    Gallery examples: An example of K-Means++ initialization
    scikit-learn.org/stable/modules/generated/sklearn.cluster.kmeans_plusplus.html
    Fri Aug 22 18:00:34 UTC 2025
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  4. sklearn.cluster — scikit-learn 1.7.1 documentation

    Popular unsupervised clustering algorithms. User guide. See the Clustering and Biclustering sections for further details.
    scikit-learn.org/stable/api/sklearn.cluster.html
    Fri Aug 22 18:00:32 UTC 2025
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  5. ward_tree — scikit-learn 1.7.1 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
    Fri Aug 22 18:00:29 UTC 2025
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  6. sklearn.calibration — scikit-learn 1.7.1 docume...

    Methods for calibrating predicted probabilities. User guide. See the Probability calibration section for further details. Visualization:
    scikit-learn.org/stable/api/sklearn.calibration.html
    Fri Aug 22 18:00:32 UTC 2025
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  7. f1_score — scikit-learn 1.7.1 documentation

    Gallery examples: Probability Calibration curves Precision-Recall Semi-supervised Classification on a Text Dataset
    scikit-learn.org/stable/modules/generated/sklearn.metrics.f1_score.html
    Fri Aug 22 18:00:34 UTC 2025
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  8. estimate_bandwidth — scikit-learn 1.7.1 documen...

    Gallery examples: Comparing different clustering algorithms on toy datasets A demo of the mean-shift clustering algorithm
    scikit-learn.org/stable/modules/generated/sklearn.cluster.estimate_bandwidth.html
    Fri Aug 22 18:00:34 UTC 2025
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  9. fetch_openml — scikit-learn 1.7.1 documentation

    Gallery examples: Time-related feature engineering Image denoising using kernel PCA Column Transformer with Mixed Types Effect of transforming the targets in regression model Categorical Feature Su...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_openml.html
    Fri Aug 22 18:00:33 UTC 2025
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  10. f_classif — scikit-learn 1.7.1 documentation

    Gallery examples: Univariate Feature Selection Pipeline ANOVA SVM SVM-Anova: SVM with univariate feature selection
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.f_classif.html
    Fri Aug 22 18:00:34 UTC 2025
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