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  1. sklearn.multiclass — scikit-learn 1.6.0 documen...

    Multiclass learning algorithms. one-vs-the-rest / one-vs-all, one-vs-one, error correcting output codes. The estimators provided in this module are meta-estimators: they require a base estimator to...
    scikit-learn.org/stable/api/sklearn.multiclass.html
    Mon Dec 23 08:41:44 UTC 2024
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  2. sklearn.svm — scikit-learn 1.6.0 documentation

    Support vector machine algorithms. User guide. See the Support Vector Machines section for further details.
    scikit-learn.org/stable/api/sklearn.svm.html
    Mon Dec 23 08:41:44 UTC 2024
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  3. sklearn.utils — scikit-learn 1.6.0 documentation

    Various utilities to help with development. Developer guide. See the Utilities for Developers section for further details. Input and parameter validation: Functions to validate input and parameters...
    scikit-learn.org/stable/api/sklearn.utils.html
    Mon Dec 23 08:41:44 UTC 2024
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  4. get_config — scikit-learn 1.6.0 documentation

    Skip to main content Back to top Ctrl + K GitHub Choose version get_config # sklearn. get_config ( ) [source] # Retri...
    scikit-learn.org/stable/modules/generated/sklearn.get_config.html
    Mon Dec 23 08:41:44 UTC 2024
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  5. Caching nearest neighbors — scikit-learn 1.6.0 ...

    = True ) n_neighbors_list = [ 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 ,...fig , axes = plt . subplots ( 1 , 2 , figsize = ( 8 , 4 )) axes...
    scikit-learn.org/stable/auto_examples/neighbors/plot_caching_nearest_neighbors.html
    Mon Dec 23 08:41:44 UTC 2024
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  6. silhouette_samples — scikit-learn 1.6.0 documen...

    The best value is 1 and the worst value is -1. Values near 0 indicate...2 <= n_labels <= n_samples - 1 . This function returns the Silhouette...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.silhouette_samples.html
    Fri Dec 20 11:14:14 UTC 2024
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  7. SVM: Maximum margin separating hyperplane — sci...

    levels = [ - 1 , 0 , 1 ], alpha = 0.5 , linestyles...support_vectors_ [:, 1 ], s = 100 , linewidth = 1 , facecolors = "none"...
    scikit-learn.org/stable/auto_examples/svm/plot_separating_hyperplane.html
    Mon Dec 23 08:41:44 UTC 2024
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  8. HuberRegressor vs Ridge on dataset with strong ...

    ) epsilon_values = [ 1 , 1.5 , 1.75 , 1.9 ] for k , epsilon in...n_samples = 20 , n_features = 1 , random_state = 0 , noise = 4.0...
    scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html
    Mon Dec 23 08:41:44 UTC 2024
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  9. Class Likelihood Ratios to measure classificati...

    1 , 0.8 , 6 ) weights = weights [:: - 1 ] # fit and...10_000 , weights = [ 0.9 , 0.1 ], random_state = 0 ) print (...
    scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html
    Mon Dec 23 08:41:44 UTC 2024
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  10. Partial Dependence and Individual Conditional E...

    rstride = 1 , cstride = 1 , cmap = plt . cm . BuPu...The example is inspired by [ 1 ] . # Authors: The scikit-learn...
    scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html
    Mon Dec 23 08:41:44 UTC 2024
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