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  1. Anti-vaccine activist presents data to RFK Jr.'...

    ” A background briefing document that was available on the...disorder in children.” The document was taken down Wednesday without...
    www.nbcnews.com/health/health-news/anti-vaccine-activist-presents-data-rfk-jrs-reshaped-cdc-advis...
    Fri Jun 27 01:08:41 UTC 2025
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  2. Comparing random forests and the multi-output m...

    An example to compare multi-output regression with random forest and the multioutput.MultiOutputRegressor meta-estimator. This example illustrates the use of the multioutput.MultiOutputRegressor me...
    scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html
    Tue Jul 08 15:58:51 UTC 2025
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  3. Comparing anomaly detection algorithms for outl...

    This example shows characteristics of different anomaly detection algorithms on 2D datasets. Datasets contain one or two modes (regions of high density) to illustrate the ability of algorithms to c...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_anomaly_comparison.html
    Tue Jul 08 15:58:47 UTC 2025
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  4. Gaussian process classification (GPC) on iris d...

    This example illustrates the predicted probability of GPC for an isotropic and anisotropic RBF kernel on a two-dimensional version for the iris-dataset. The anisotropic RBF kernel obtains slightly ...
    scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpc_iris.html
    Tue Jul 08 15:58:47 UTC 2025
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  5. Visualizing cross-validation behavior in scikit...

    Choosing the right cross-validation object is a crucial part of fitting a model properly. There are many ways to split data into training and test sets in order to avoid model overfitting, to stand...
    scikit-learn.org/stable/auto_examples/model_selection/plot_cv_indices.html
    Tue Jul 08 15:58:47 UTC 2025
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  6. 1.14. Semi-supervised learning — scikit-learn 1...

    Semi-supervised learning is a situation in which in your training data some of the samples are not labeled. The semi-supervised estimators in sklearn.semi_supervised are able to make use of this ad...
    scikit-learn.org/stable/modules/semi_supervised.html
    Tue Jul 08 15:58:47 UTC 2025
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  7. 1.2. Linear and Quadratic Discriminant Analysis...

    Linear Discriminant Analysis ( LinearDiscriminantAnalysis) and Quadratic Discriminant Analysis ( QuadraticDiscriminantAnalysis) are two classic classifiers, with, as their names suggest, a linear a...
    scikit-learn.org/stable/modules/lda_qda.html
    Tue Jul 08 15:58:50 UTC 2025
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  8. Novelty detection with Local Outlier Factor (LO...

    The Local Outlier Factor (LOF) algorithm is an unsupervised anomaly detection method which computes the local density deviation of a given data point with respect to its neighbors. It considers as ...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html
    Tue Jul 08 15:58:51 UTC 2025
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  9. Elasticsearch retrievers architecture and use-c...

    which just bring backs all documents: Pretty straightforward, right?...types: knn - return the top documents from a kNN (k Nearest Neighbor)...
    www.elastic.co/search-labs/blog/elasticsearch-retrievers-ga-8.16.0
    Wed Jul 09 00:58:39 UTC 2025
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  10. 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
    Tue Jul 08 15:58:50 UTC 2025
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