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  1. Plot the decision surface of decision trees tra...

    Plot the decision surface of a decision tree trained on pairs of features of the iris dataset. See decision tree for more information on the estimator. For each pair of iris features, the decision ...
    scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html
    Fri Jul 11 17:08:41 UTC 2025
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  2. Release Highlights for scikit-learn 1.3 — sciki...

    We are pleased to announce the release of scikit-learn 1.3! Many bug fixes and improvements were added, as well as some new key features. We detail below a few of the major features of this release...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_3_0.html
    Fri Jul 11 17:08:38 UTC 2025
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  3. Decision boundary of semi-supervised classifier...

    A comparison for the decision boundaries generated on the iris dataset by Label Spreading, Self-training and SVM. This example demonstrates that Label Spreading and Self-training can learn good bou...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_semi_supervised_versus_svm_iris.html
    Fri Jul 11 17:08:38 UTC 2025
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  4. Decision Boundaries of Multinomial and One-vs-R...

    This example compares decision boundaries of multinomial and one-vs-rest logistic regression on a 2D dataset with three classes. We make a comparison of the decision boundaries of both methods that...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_multinomial.html
    Fri Jul 11 17:08:38 UTC 2025
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  5. 2.9. Neural network models (unsupervised) — sci...

    Restricted Boltzmann machines: Restricted Boltzmann machines (RBM) are unsupervised nonlinear feature learners based on a probabilistic model. The features extracted by an RBM or a hierarchy of RBM...
    scikit-learn.org/stable/modules/neural_networks_unsupervised.html
    Fri Jul 11 17:08:41 UTC 2025
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  6. Elasticsearch — built on the Elastic Search AI ...

    optimized for GenAI View search documentation Search applications For...controls search access with its document-level security. Learn more...
    www.elastic.co/enterprise-search
    Sat Jul 12 00:04:56 UTC 2025
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  7. Unveiling unique patterns: A guide to significa...

    (all the sales documents) contains 424 documents In the Houston...(all the sales documents) contains 424 documents In the Medical...
    www.elastic.co/search-labs/blog/significant-terms-aggregation-elasticsearch
    Thu Jul 10 00:54:19 UTC 2025
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  8. 7.9. Transforming the prediction target (y) — s...

    Transforming the prediction target ( y): These are transformers that are not intended to be used on features, only on supervised learning targets. See also Transforming target in regression if you ...
    scikit-learn.org/stable/modules/preprocessing_targets.html
    Fri Jul 11 17:08:38 UTC 2025
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  9. Compressive sensing: tomography reconstruction ...

    This example shows the reconstruction of an image from a set of parallel projections, acquired along different angles. Such a dataset is acquired in computed tomography(CT). Without any prior infor...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Fri Jul 11 17:08:41 UTC 2025
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  10. inplace_csr_row_normalize_l2 — scikit-learn 1.7...

    Skip to main content Back to top Ctrl + K GitHub Choose version inplace_csr_row_normalize_l2 # sklearn.utils.sparsefu...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz...
    Tue Jul 08 15:58:50 UTC 2025
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