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  1. kNN search | Elastic Docs

    top-level document. Meaning, "k" top-level documents will be returned,...} } Index the documents Add example documents with vectors for...
    www.elastic.co/docs/solutions/search/vector/knn
    Sat Aug 23 16:43:05 UTC 2025
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  2. Turbocharge your troubleshooting: Building a RA...

    choice Retrieving relevant documents based on user’s query with...intelligently breaks down the PDF document page by page and sends the...
    www.elastic.co/search-labs/blog/build-rag-app-elastic
    Sun Aug 24 01:00:35 UTC 2025
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  3. Manifold learning on handwritten digits: Locall...

    We illustrate various embedding techniques on the digits dataset. Load digits dataset: We will load the digits dataset and only use six first of the ten available classes. We can plot the first hun...
    scikit-learn.org/stable/auto_examples/manifold/plot_lle_digits.html
    Sat Aug 23 16:32:03 UTC 2025
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  4. One-class SVM with non-linear kernel (RBF) — sc...

    An example using a one-class SVM for novelty detection. One-class SVM is an unsupervised algorithm that learns a decision function for novelty detection: classifying new data as similar or differen...
    scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html
    Sat Aug 23 16:32:03 UTC 2025
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  5. Demonstration of multi-metric evaluation on cro...

    Multiple metric parameter search can be done by setting the scoring parameter to a list of metric scorer names or a dict mapping the scorer names to the scorer callables. The scores of all the scor...
    scikit-learn.org/stable/auto_examples/model_selection/plot_multi_metric_evaluation.html
    Sat Aug 23 16:32:03 UTC 2025
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  6. Ability of Gaussian process regression (GPR) to...

    This example shows the ability of the WhiteKernel to estimate the noise level in the data. Moreover, we show the importance of kernel hyperparameters initialization. Data generation: We will work i...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_noisy.html
    Sat Aug 23 16:32:03 UTC 2025
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  7. Elasticsearch Relevance Engine™ - Build advance...

    is a method for combining document rankings from multiple retrieval...Secure your embeddings at the document level to ensure data is in...
    www.elastic.co/elasticsearch/elasticsearch-relevance-engine
    Sun Aug 24 00:38:46 UTC 2025
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  8. 1.1. Linear Models — scikit-learn 1.7.1 documen...

    Examples Classification of text documents using sparse features 1.1.2.3....Stochastic Gradient Descent documentation section for more details....
    scikit-learn.org/stable/modules/linear_model.html
    Sat Aug 23 16:32:03 UTC 2025
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  9. ExtraTreeClassifier — scikit-learn 1.7.1 docume...

    Skip to main content Back to top Ctrl + K GitHub Choose version ExtraTreeClassifier # class sklearn.tree. ExtraTreeCl...
    scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html
    Mon Aug 18 14:44:57 UTC 2025
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  10. MetadataRequest — scikit-learn 1.7.1 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version MetadataRequest # class sklearn.utils.metadata_routin...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.MetadataRequest.html
    Fri Aug 22 18:00:29 UTC 2025
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