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  1. minmax_scale — scikit-learn 1.7.0 documentation

    feature_range = (0, 1) , * , axis = 0 , copy = True ) [source]...by (when axis=0 ): X_std = ( X - X . min ( axis = 0 )) / ( X ....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.minmax_scale.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. export_text — scikit-learn 1.7.0 documentation

    feature_names = None , class_names = None , max_depth = 10 , spacing...spacing = 3 , decimals = 2 , show_weights = False ) [source] # Build...
    scikit-learn.org/stable/modules/generated/sklearn.tree.export_text.html
    Thu Jul 03 11:42:05 UTC 2025
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  3. fetch_california_housing — scikit-learn 1.7.0 d...

    data_home = None , download_if_missing = True , return_X_y = False...False , as_frame = False , n_retries = 3 , delay = 1.0 ) [source]...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_california_housing.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. AffinityPropagation — scikit-learn 1.7.0 docume...

    damping = 0.5 , max_iter = 200 , convergence_iter = 15 , copy...copy = True , preference = None , affinity = 'euclidean' , verbose...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.AffinityPropagation.html
    Thu Jul 03 11:42:06 UTC 2025
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  5. Underfitting vs. Overfitting — scikit-learn 1.7...

    0 ) n_samples = 30 degrees = [ 1 , 4 , 15 ] X = np . sort ( np...ax , xticks = (), yticks = ()) polynomial_features = PolynomialFeatures...
    scikit-learn.org/stable/auto_examples/model_selection/plot_underfitting_overfitting.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. Demo of affinity propagation clustering algorit...

    ): class_members = labels == k cluster_center = X [ cluster_centers_indices...labels_true = make_blobs ( n_samples = 300 , centers = centers ,...
    scikit-learn.org/stable/auto_examples/cluster/plot_affinity_propagation.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. AdditiveChi2Sampler — scikit-learn 1.7.0 docume...

    y = load_digits ( return_X_y = True ) >>> chi2sampler = AdditiveChi2Sampler...>>> clf = SGDClassifier ( max_iter = 5 , random_state = 0 , tol...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.AdditiveChi2Sampler.html
    Thu Jul 03 11:42:05 UTC 2025
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  8. Actionの実装デザイン | LastaFlute

    HarborBaseAction { // ========== // Attribute // ========= @Resource private...purchaseBhv ; // ========== // Execute // ======= @Execute public...
    dbflute.seasar.org/ja/lastaflute/howto/impldesign/actiondesign.html
    Fri Jun 13 09:55:28 UTC 2025
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  9. Product — scikit-learn 1.7.0 documentation

    y = make_friedman2 ( n_samples = 500 , noise = 0 , random_state...RBF(length_scale=1) __call__ ( X , Y = None , eval_gradient = False )...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.Product.html
    Thu Jul 03 11:42:06 UTC 2025
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  10. styles-v1.css

    vg width="18" height="18" viewBox="0 0 18 18" fill="none" xm...;charset=utf-8,%3Csvg width='16' height='16' xmlns='http://www.w3.org/2000/svg'...
    www.elastic.co/guide/static/styles-v1.css
    Tue Apr 15 06:55:45 UTC 2025
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