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  1. KFold — scikit-learn 1.7.0 documentation

    n_splits = 5 , * , shuffle = False , random_state = None ) [source]...KFold(n_splits=2, random_state=None, shuffle=False) >>> for i...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.KFold.html
    Thu Jul 03 11:42:04 UTC 2025
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  2. Feature agglomeration vs. univariate selection ...

    n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Thu Jul 03 11:42:05 UTC 2025
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  3. MiniBatchDictionaryLearning — scikit-learn 1.7....

    n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Thu Jul 03 11:42:06 UTC 2025
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  4. Explicit feature map approximation for RBF kern...

    kernel_svm = svm . SVC ( gamma = 0.2 ) linear_svm = svm . LinearSVC...feature_map_fourier = RBFSampler ( gamma = 0.2 , random_state = 1 ) feature_map_nystroem...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html
    Thu Jul 03 11:42:04 UTC 2025
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  5. Effect of transforming the targets in regressio...

    y = make_regression ( n_samples = 10_000 , noise = 100 ,...ax1 ) = plt . subplots ( 1 , 2 , sharey = True ) ridge_cv = RidgeCV...
    scikit-learn.org/stable/auto_examples/compose/plot_transformed_target.html
    Thu Jul 03 11:42:06 UTC 2025
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  6. Agglomerative clustering with different metrics...

    lines = plt . plot ( X [ y == l ] . T , c = color , alpha = 0.5...i , j ] = pairwise_distances ( X [ y == i ], X [ y == j ], metric...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Thu Jul 03 11:42:04 UTC 2025
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  7. QuantileTransformer — scikit-learn 1.7.0 docume...

    ( loc = 0.5 , scale = 0.25 , size = ( 25 , 1 )), axis = 0 ) >>>...ignore_implicit_zeros = False , subsample = 10000 , random_state = None , copy...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.QuantileTransformer.html
    Wed Jul 02 18:21:48 UTC 2025
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  8. RocCurveDisplay — scikit-learn 1.7.0 documentation

    ( fpr = fpr , tpr = tpr , roc_auc = roc_auc , ... name = 'example...pos_label = None , ax = None , name = None , curve_kwargs = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.RocCurveDisplay.html
    Thu Jul 03 11:42:05 UTC 2025
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  9. FanFare

    <div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...
    fanfare.metafilter.com
    Fri Jul 04 00:58:41 UTC 2025
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  10. Novelty detection with Local Outlier Factor (LO...

    X_outliers = np . random . uniform ( low =- 4 , high = 4 , size = ( 20...1 ], c = "blueviolet" , s = s , edgecolors = "k" ) c = plt . scatter...
    scikit-learn.org/stable/auto_examples/neighbors/plot_lof_novelty_detection.html
    Thu Jul 03 11:42:05 UTC 2025
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