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  1. plot_classifier_comparison.ipynb

    x_min, x_max = X[:, 0].min() - 0.5, X[:, 0].max() + 0.5\n y_min,...GaussianProcessClass(1.0 * RBF(1.0), random_state=42),\n DecisionTreeClassifi(max_depth=5,...
    scikit-learn.org/stable/_downloads/3438aba177365cb595921cf18806dfa7/plot_classifier_comparison.ipynb
    Sat Nov 01 09:15:33 UTC 2025
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  2. Cross decomposition scikit-learn 1.7.2 docume...

    top Ctrl + K GitHub Choose version Cross decomposition # Examples...concerning the sklearn.cross_decomposition module. Compare cross decomposition...
    scikit-learn.org/stable/auto_examples/cross_decomposition/index.html
    Sat Nov 01 09:15:34 UTC 2025
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  3. MaxAbsScaler scikit-learn 1.7.2 documentation

    2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , - 1. ]] >>> transformer...transformer . transform ( X ) array([[ 0.5, -1. , 1. ], [ 1. , 0. , 0....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html
    Sat Nov 01 09:15:34 UTC 2025
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  4. MultiTaskLasso scikit-learn 1.7.2 documentation

    ], [ 1 , 2 ], [ 2 , 4 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 3 ]]) ...MultiTaskLasso(alpha=0.1) >>> print ( clf . coef_ ) [[0. 0.60809415]...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html
    Sat Nov 01 09:15:34 UTC 2025
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  5. load_diabetes scikit-learn 1.7.2 documentation

    load_diabetes () >>> diabetes . target [: 3 ] array([151., 75., 141.]) >>>...diabetes . data . shape (442, 10) Gallery examples # Model Complexity...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html
    Sat Nov 01 09:15:34 UTC 2025
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  6. StackingClassifier scikit-learn 1.7.2 documen...

    RandomForestClassifi ( n_estimators = 10 , random_state = 42 )), ... ( 'svr' ,...load_iris ( return_X_y = True ) >>> estimators = [ ... ( 'rf' , RandomForestClassifi...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingClassifier.html
    Sat Nov 01 09:15:34 UTC 2025
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  7. Pipeline scikit-learn 1.7.2 documentation

    'scaler' , StandardScaler ()), ( 'svc' , SVC ())]) >>> # The...train_test_split ( X , y , ... random_state = 0 ) >>> pipe = Pipeline ([( 'scaler'...
    scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html
    Sat Nov 01 09:15:34 UTC 2025
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  8. Support Vector Machines scikit-learn 1.7.2 do...

    sklearn.svm module. One-class SVM with non-linear kernel (RBF) One-class...One-class SVM with non-linear kernel (RBF) Plot classification...
    scikit-learn.org/stable/auto_examples/svm/index.html
    Sat Nov 01 09:15:34 UTC 2025
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  9. BernoulliNB scikit-learn 1.7.2 documentation

    size = ( 6 , 100 )) >>> Y = np . array ([ 1 , 2 , 3 , 4 , 4 , 5 ])...Press, pp. 234-265. https://nlp.stanford.edu/IR-book/html/html...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Sat Nov 01 09:15:33 UTC 2025
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  10. get_routing_for_object scikit-learn 1.7.2 doc...

    sklearn.utils.metadata_routing. get_routing_for_object ( obj = None...the original object. Added in version 1.3. Parameters : obj object...
    scikit-learn.org/stable/modules/generated/sklearn.utils.metadata_routing.get_routing_for_object.html
    Sat Nov 01 09:15:33 UTC 2025
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