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  1. Species distribution modeling — scikit-learn 1....

    subplot ( 1 , 2 , i + 1 ) if basemap : print ( "...Returns ------- (xgrid, ygrid) : 1-D arrays The grid corresponding...
    scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html
    Mon Nov 03 14:20:05 UTC 2025
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  2. smacof — scikit-learn 1.7.2 documentation

    n_iter will change from 8 to 1 in version 1.9. n_jobs int, default=None...means 1 unless in a joblib.parallel_backend context. -1 means...
    scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html
    Mon Nov 03 14:20:03 UTC 2025
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  3. Kernel Density Estimation — scikit-learn 1.7.2 ...

    logspace ( - 1 , 1 , 20 )} grid = GridSearchCV...new_data . reshape (( 4 , 11 , - 1 )) real_data = digits . data [:...
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Mon Nov 03 14:20:05 UTC 2025
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  4. load_diabetes — scikit-learn 1.7.2 documentation

    Added in version 1.1. Returns : data Bunch Dictionary-like...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.load_diabetes.html
    Mon Nov 03 14:20:04 UTC 2025
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  5. RegressorChain — scikit-learn 1.7.2 documentation

    = [[ 1 , 0 ], [ 0 , 1 ], [ 1 , 1 ]], [[ 0 , 2 ], [ 1 , 1 ], [...order = [ 0 , 1 , 2 , ... , Y . shape [ 1 ] - 1 ] The order of...
    scikit-learn.org/stable/modules/generated/sklearn.multioutput.RegressorChain.html
    Mon Nov 03 14:20:05 UTC 2025
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  6. Univariate Feature Selection — scikit-learn 1.7...

    shape [ - 1 ]) plt . figure ( 1 ) plt . clf () plt ....RandomState ( 42 ) . uniform ( 0 , 0.1 , size = ( X . shape [ 0 ], 20...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Mon Nov 03 14:20:03 UTC 2025
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  7. SparseRandomProjection — scikit-learn 1.7.2 doc...

    with probability 1 / 2s 0 with probability 1 - 1 / s +sqrt(s) /...Added in version 1.1. density_ float in range 0.0 - 1.0 Concrete density...
    scikit-learn.org/stable/modules/generated/sklearn.random_projection.SparseRandomProjection.html
    Sat Nov 01 09:15:34 UTC 2025
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  8. SVM with custom kernel — scikit-learn 1.7.2 doc...

    T (0 1) """ M = np . array ([[ 2 , 0 ], [ 0 , 1.0 ]]) return.... scatter ( X [:, 0 ], X [:, 1 ], c = Y , cmap = plt . cm . Paired...
    scikit-learn.org/stable/auto_examples/svm/plot_custom_kernel.html
    Mon Nov 03 14:20:05 UTC 2025
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  9. clone — scikit-learn 1.7.2 documentation

    >>> X = [[ - 1 , 0 ], [ 0 , 1 ], [ 0 , - 1 ], [ 1 , 0 ]] >>> y...y = [ 0 , 0 , 1 , 1 ] >>> classifier = LogisticRegression ()...
    scikit-learn.org/stable/modules/generated/sklearn.base.clone.html
    Mon Nov 03 14:20:03 UTC 2025
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  10. 3.3. Tuning the decision threshold for class pr...

    1, 1]) While these hard-coded rules...case an insurance company). 3.3.1.1. Options to tune the decision...
    scikit-learn.org/stable/modules/classification_threshold.html
    Mon Nov 03 14:20:04 UTC 2025
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