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  1. LogisticRegression — scikit-learn 1.7.0 documen...

    penalty = 'l2' , * , dual = False , tol = 0.0001 , C = 1.0 , fit_intercept...fit_intercept = True , intercept_scaling = 1 , class_weight = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html
    Thu Jul 03 11:42:05 UTC 2025
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  2. PLSCanonical — scikit-learn 1.7.0 documentation

    n_components = 2 , * , scale = True , algorithm = 'nipals' , max_iter...max_iter = 500 , tol = 1e-06 , copy = True ) [source] # Partial...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSCanonical.html
    Thu Jul 03 11:42:06 UTC 2025
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  3. KBinsDiscretizer — scikit-learn 1.7.0 documenta...

    KBinsDiscretizer ( n_bins = 5 , * , encode = 'onehot' , strategy = 'quantile'...quantile_method = 'warn' , dtype = None , subsample = 200000 , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.KBinsDiscretizer.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. Post pruning decision trees with cost complexit...

    y_test = train_test_split ( X , y , random_state = 0 ) clf = DecisionTreeClassifi...train_scores , marker = "o" , label = "train" , drawstyle = "steps-post"...
    scikit-learn.org/stable/auto_examples/tree/plot_cost_complexity_pruning.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. SpectralBiclustering — scikit-learn 1.7.0 docum...

    n_clusters = 3 , * , method = 'bistochastic' , n_components = 6 , n_best...n_best = 3 , svd_method = 'randomized' , n_svd_vecs = None ,...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.SpectralBiclustering.html
    Thu Jul 03 11:42:05 UTC 2025
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  6. LeavePGroupsOut — scikit-learn 1.7.0 documentation

    Train: index=[2], group=[3] Test: index=[0 1], group=[1 2] Fold...Train: index=[1], group=[2] Test: index=[0 2], group=[1 3] Fold...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html
    Thu Jul 03 11:42:05 UTC 2025
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  7. getting_started.rst.txt

    Getting Started ========== The purpose of this guide is to illustrate...>>> clf = RandomForestClassifi(random_state=0) >>> X = [[ 1, 2,...
    scikit-learn.org/stable/_sources/getting_started.rst.txt
    Thu Jul 03 11:42:05 UTC 2025
      10K bytes
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  8. Swaggerの環境セットアップ | LastaFlute

    LaActionSwaggerable { // ========== // Attribute // ========= @Resource private...ShowbaseConfig config ; // ========== // Execute // ======= @Execute public...
    dbflute.seasar.org/ja/lastaflute/howto/structure/swaggerenv.html
    Fri Jun 13 09:55:28 UTC 2025
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  9. FastICA on 2D point clouds — scikit-learn 1.7.0...

    marker = "o" , zorder = 10 , color = "steelblue" , alpha = 0.5 )..., zorder = 11 , width = 0.01 , scale = 6 , color = color , label...
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html
    Thu Jul 03 11:42:06 UTC 2025
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  10. PolynomialCountSketch — scikit-learn 1.7.0 docu...

    gamma = 1.0 , degree = 2 , coef0 = 0 , n_components = 100 , random_state...>>> ps = PolynomialCountSketc ( degree = 3 , random_state = 1 )...
    scikit-learn.org/stable/modules/generated/sklearn.kernel_approximation.PolynomialCountSketch.html
    Thu Jul 03 11:42:05 UTC 2025
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