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Results 781 - 790 of 1,682 for document (0.52 sec)

  1. Label Propagation digits: Demonstrating perform...

    This example demonstrates the power of semisupervised learning by training a Label Spreading model to classify handwritten digits with sets of very few labels. The handwritten digit dataset has 179...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_label_propagation_digits.html
    Mon Apr 21 17:07:38 UTC 2025
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  2. Connect Agents to Elasticsearch with Model Cont...

    AI Document Intelligence Learn how to parse PDF documents that...Resources - Structured data, documents, and content that can be retrieved...
    www.elastic.co/search-labs/blog/model-context-protocol-elasticsearch
    Wed Apr 02 00:40:30 UTC 2025
      142.8K bytes
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  3. bootstrap.js

    document)||window.document).documentElement}function...on(){document.body.scrollTop=0,document.documentElement.scro...
    scikit-learn.org/stable/_static/scripts/bootstrap.js
    Mon Apr 21 17:07:39 UTC 2025
      79.8K bytes
     
  4. Elastic (ELK) Stack Security | Elastic

    add or delete documents in an index? Document: Who can access...started Stack security documentation Getting started with Elasticsearch:...
    www.elastic.co/elastic-stack/security
    Tue Apr 22 00:46:21 UTC 2025
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  5. Comparison of kernel ridge and Gaussian process...

    This example illustrates differences between a kernel ridge regression and a Gaussian process regression. Both kernel ridge regression and Gaussian process regression are using a so-called “kernel ...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_compare_gpr_krr.html
    Mon Apr 21 17:07:39 UTC 2025
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  6. Feature agglomeration vs. univariate selection ...

    This example compares 2 dimensionality reduction strategies: univariate feature selection with Anova, feature agglomeration with Ward hierarchical clustering. Both methods are compared in a regress...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Mon Apr 21 17:07:38 UTC 2025
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  7. Regularization path of L1- Logistic Regression ...

    Train l1-penalized logistic regression models on a binary classification problem derived from the Iris dataset. The models are ordered from strongest regularized to least regularized. The 4 coeffic...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_path.html
    Mon Apr 21 17:07:39 UTC 2025
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  8. EY puts Elastic at the heart of GenAI experienc...

    large volumes of diverse documents and seamlessly scale across...including PDFs and other documents. Ernst & Young (EY) , one...
    www.elastic.co/customers/ey
    Tue Apr 22 00:47:32 UTC 2025
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  9. Plot classification boundaries with different S...

    This example shows how different kernels in a SVC(Support Vector Classifier) influence the classification boundaries in a binary, two-dimensional classification problem. SVCs aim to find a hyperpla...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html
    Sat Apr 19 00:31:20 UTC 2025
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  10. 1.8. Cross decomposition — scikit-learn 1.6.1 d...

    The cross decomposition module contains supervised estimators for dimensionality reduction and regression, belonging to the “Partial Least Squares” family. Cross decomposition algorithms find the f...
    scikit-learn.org/stable/modules/cross_decomposition.html
    Sat Apr 19 00:31:21 UTC 2025
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