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  1. Incremental PCA — scikit-learn 1.8.0 documentation

    target n_components = 2 ipca = IncrementalPCA ( n_components...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ): plt...
    scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html
    Mon Mar 23 20:39:20 UTC 2026
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  2. 1.11. Ensembles: Gradient boosting, random fore...

    features 1 and 2. But note that features 0 and 2 are forbidden...Right split at feature 2 has only group {1, 2} from now on. LightGBM...
    scikit-learn.org/stable/modules/ensemble.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. Quickstart: Time series data stream basics | El...

    "total": 2, "successful": 2, "failed":..."total": 2, "successful": 2, "failed":...
    www.elastic.co/docs/manage-data/data-store/data-streams/quickstart-tsds
    Tue Mar 03 13:05:32 UTC 2026
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  4. SVM with custom kernel — scikit-learn 1.8.0 doc...

    : 2 ] # we only take the first two...""" We create a custom kernel: (2 0) k(X, Y) = X ( ) Y.T (0 1) """...
    scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html
    Mon Mar 23 20:39:21 UTC 2026
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  5. Effect of varying threshold for self-training —...

    capsize = 2 , color = "b" ) ax1 . set_ylabel.... std ( axis = 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon Mar 23 20:39:20 UTC 2026
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  6. Model Complexity Influence — scikit-learn 1.8.0...

    "n_iter_no_change" : 2 , }, "changing_param" : "l1_ratio"..."tuned_params" : { "C" : 1e3 , "gamma" : 2 **- 15 }, "changing_param" : "nu"...
    scikit-learn.org/stable/auto_examples/applications/plot_model_complexity_influence.html
    Mon Mar 23 20:39:20 UTC 2026
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  7. Procédure de désinstallation

    0 Étape 2 : Suppression d’OpenSearch Supprimez...RPM $ sudo rpm -e fess Étape 2 : Désinstallation d’OpenSearch...
    fess.codelibs.org/fr/15.5/install/uninstall.html
    Mon Mar 23 02:54:12 UTC 2026
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  8. Decision Tree Regression — scikit-learn 1.8.0 d...

    label = "max_depth=2" , linewidth = 2 ) plt . plot ( X_test...DecisionTreeRegresso ( max_depth = 2 ) regr_2 = DecisionTreeRegresso...
    scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. label_binarize — scikit-learn 1.8.0 documentation

    2 , 4 , 6 ]) array([[1, 0, 0, 0],...6 ], classes = [ 1 , 6 , 4 , 2 ]) array([[1, 0, 0, 0], [0, 1,...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.label_binarize.html
    Mon Mar 23 20:39:23 UTC 2026
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  10. LinearSVR — scikit-learn 1.8.0 documentation

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...(n_features) if n_classes == 2 else (n_classes, n_features) Weights...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Mon Mar 23 20:39:20 UTC 2026
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