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  1. Joint feature selection with multi-task Lasso —...

    2 , 2 ) plt . spy ( coef_multi_task_lasso_...)) times = np . linspace ( 0 , 2 * np . pi , n_tasks ) for k in...
    scikit-learn.org/stable/auto_examples/linear_model/plot_multi_task_lasso_support.html
    Mon Apr 21 17:07:38 UTC 2025
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  2. Elastic Observability Labs

    Paramasivam Daniela Tzvetkova 2 April 2025 Azure OpenAI OpenAI...Subham Sarkar Daniela Tzvetkova 2 March 2025 AWS GenAI LLM Observability...
    www.elastic.co/observability-labs/blog/tag/llmobs
    Tue Apr 22 01:08:31 UTC 2025
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  3. Outlier detection with Local Outlier Factor (LO...

    2 ) X_inliers = np . r_ [ X_inliers + 2 , X_inliers...relative to this cluster, and 2) smaller than the maximum number...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_outlier_detection.html
    Mon Apr 21 17:07:39 UTC 2025
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  4. UTFluteのセットアップ | DBFlute

    2 </version> <scope>test</scope>...utflute-spring </artifactId> <version> 0.9.2 </version> <scope>test</scope>...
    dbflute.seasar.org/ja/manual/function/helper/utflute/setup.html
    Fri Apr 18 17:54:32 UTC 2025
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  5. Compare the effect of different scalers on data...

    2, 0.2] range for the transformed...block longitude" , } # Take only 2 features to make visualization...
    scikit-learn.org/stable/auto_examples/preprocessing/plot_all_scaling.html
    Mon Apr 21 17:07:39 UTC 2025
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  6. MLPRegressor — scikit-learn 1.6.1 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...validation_fraction = 0.1 , beta_1 = 0.9 , beta_2 = 0.999 , epsilon = 1e-08 , n_iter_no_change...
    scikit-learn.org/stable/modules/generated/sklearn.neural_network.MLPRegressor.html
    Mon Apr 21 17:07:39 UTC 2025
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  7. Receiver Operating Characteristic (ROC) with cr...

    = 2 ], y [ y != 2 ] n_samples , n_features...linearly separable from the other 2; the latter are not linearly separable...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html
    Mon Apr 21 17:07:39 UTC 2025
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  8. DotProduct — scikit-learn 1.6.1 documentation

    \sigma_0^2)\) on the bias. The DotProduct...of the kernel. For \(\sigma_0^2 =0\) , the kernel is called the...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.DotProduct.html
    Mon Apr 21 17:07:40 UTC 2025
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  9. PolynomialCountSketch — scikit-learn 1.6.1 docu...

    degree = 2 , coef0 = 0 , n_components = 100...approximated. degree int, default=2 Degree of the polynomial kernel...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Mon Apr 21 17:07:39 UTC 2025
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  10. pairwise_distances_chunked — scikit-learn 1.6.1...

    2 >>> def reduce_func ( D_chunk...[array([0, 3]), array([1]), array([2]), array([0, 3]), array([4])]...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise_distances_chunked.html
    Mon Apr 21 17:07:39 UTC 2025
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