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  1. sklearn.neighbors — scikit-learn 1.8.0 document...

    The k-nearest neighbors algorithms. User guide. See the Nearest Neighbors section for further details.
    scikit-learn.org/stable/api/sklearn.neighbors.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. sklearn.kernel_approximation — scikit-learn 1.8...

    Approximate kernel feature maps based on Fourier transforms and count sketches. User guide. See the Kernel Approximation section for further details.
    scikit-learn.org/stable/api/sklearn.kernel_approximation.html
    Mon Mar 23 20:39:23 UTC 2026
      12.4K bytes
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  3. sklearn.mixture — scikit-learn 1.8.0 documentation

    Mixture modeling algorithms. User guide. See the Gaussian mixture models section for further details.
    scikit-learn.org/stable/api/sklearn.mixture.html
    Mon Mar 23 20:39:21 UTC 2026
      12.2K bytes
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  4. sklearn.dummy — scikit-learn 1.8.0 documentation

    Dummy estimators that implement simple rules of thumb. User guide. See the Metrics and scoring: quantifying the quality of predictions section for further details.
    scikit-learn.org/stable/api/sklearn.dummy.html
    Mon Mar 23 20:39:23 UTC 2026
      12.3K bytes
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  5. sklearn.naive_bayes — scikit-learn 1.8.0 docume...

    Naive Bayes algorithms. These are supervised learning methods based on applying Bayes’ theorem with strong (naive) feature independence assumptions. User guide. See the Naive Bayes section for furt...
    scikit-learn.org/stable/api/sklearn.naive_bayes.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. sklearn.random_projection — scikit-learn 1.8.0 ...

    Random projection transformers. Random projections are a simple and computationally efficient way to reduce the dimensionality of the data by trading a controlled amount of accuracy (as additional ...
    scikit-learn.org/stable/api/sklearn.random_projection.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. sklearn.utils — scikit-learn 1.8.0 documentation

    Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...
    scikit-learn.org/stable/api/sklearn.utils.html
    Mon Mar 23 20:39:23 UTC 2026
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  8. ParallelSorter.Generator (Spring Framework 7.0....

    declaration: package: org.springframework.cglib.util, class: ParallelSorter, class: Generator
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/cglib/util/ParallelS...
    Fri Feb 01 00:00:00 UTC 1980
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  9. org.springframework.jms.core Class Hierarchy (S...

    tree: package: org.springframework.jms.core
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/jms/core/package-tre...
    Fri Feb 01 00:00:00 UTC 1980
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  10. Uses of Package org.springframework.aop.scope (...

    use: package: org.springframework.aop.scope
    docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/aop/scope/package-us...
    Fri Feb 01 00:00:00 UTC 1980
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