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  1. StratifiedShuffleSplit — scikit-learn 1.8.0 doc...

    2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 , 4 ], [ 1 , 2 ], [ 3 ,...Test: index=[0 2 3] Fold 2: Train: index=[5 0 2] Test: index=[4...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedShuffleSplit.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. ward_tree — scikit-learn 1.8.0 documentation

    s)^2 + \frac{|v|+|t|} {T}d(v,t)^2 - \frac{|v|} {T}d(s,t)^2}\]...array ([[ 1 , 2 ], [ 1 , 4 ], [ 1 , 0 ], ... [ 4 , 2 ], [ 4 , 4...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.ward_tree.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. Bunch — scikit-learn 1.8.0 documentation

    b = 2 ) >>> b [ 'b' ] 2 >>> b . b 2 >>> b . a = 3 >>>...return a (key, value) pair as a 2-tuple. Pairs are returned in LIFO...
    scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html
    Mon Mar 23 20:39:21 UTC 2026
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  4. Hardware prerequisites | Elastic Docs

    256 GB RAM1 Small deployment 2 32 GB RAM 32 GB RAM 16 GB RAM...128 GB RAM Medium deployment 2 32 GB RAM 32 GB RAM 16 GB RAM...
    www.elastic.co/docs/deploy-manage/deploy/cloud-enterprise/ece-hardware-prereq
    Thu Mar 19 11:49:39 UTC 2026
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  5. 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 Mar 23 20:39:22 UTC 2026
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  6. v_measure_score — scikit-learn 1.8.0 documentation

    2 ], [ 0 , 0 , 1 , 1 ])) 0.8 >>>...% v_measure_score ([ 0 , 1 , 2 , 3 ], [ 0 , 0 , 1 , 1 ])) 0.67...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.v_measure_score.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. Lasso — scikit-learn 1.8.0 documentation

    [ 2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1)...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html
    Mon Mar 23 20:39:21 UTC 2026
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  8. Learn regression algorithms - IBM Developer

    y = w 0 + w 1 x 1 + w 2 x 2 + .... + w n * x n In the following...regression. y = w 0 + w 1 x 1 + w 2 x 2 1 + .... + w n * x n n Even...
    developer.ibm.com/learningpaths/get-started-artificial-intelligence/next-steps/learn-regression-a...
    Tue Mar 24 02:30:47 UTC 2026
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  9. Matern — scikit-learn 1.8.0 documentation

    \frac{1}{\Gamma(\nu)2^{\nu-1}}\Bigg( \frac{\sqrt{2\nu}}{l} d(x_i ,...the RBF kernel. When \(\nu = 1/2\) , the Matérn kernel becomes...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Matern.html
    Mon Mar 23 20:39:21 UTC 2026
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  10. Gradient Boosting regression — scikit-learn 1.8...

    2 , 2 ) # `labels` argument in boxplot...permutation methods identify the same 2 strongly predictive features but...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Mon Mar 23 20:39:20 UTC 2026
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