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  1. Kernel Density Estimation — scikit-learn 1.6.1 ...

    pca = PCA ( n_components = 15 , whiten = False ) data = pca ....new_data = kde . sample ( 44 , random_state = 0 ) new_data = pca ....
    scikit-learn.org/stable/auto_examples/neighbors/plot_digits_kde_sampling.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. k_means — scikit-learn 1.6.1 documentation

    sample_weight = None , init = 'k-means++' , n_init = 'auto' , max_iter...max_iter = 300 , verbose = False , tol = 0.0001 , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.k_means.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. NuSVC — scikit-learn 1.6.1 documentation

    nu = 0.5 , kernel = 'rbf' , degree = 3 , gamma = 'scale'...coef0 = 0.0 , shrinking = True , probability = False , tol = 0.001...
    scikit-learn.org/stable/modules/generated/sklearn.svm.NuSVC.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. Blind source separation using FastICA — scikit-...

    n_samples = 2000 time = np . linspace ( 0 , 8 , n_samples ) s1 = np...( size = S . shape ) # Add noise S /= S . std ( axis = 0 ) # Standardize...
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Recursive feature elimination with cross-valida...

    n_informative = 3 , n_redundant = 2 , n_repeated = 0 , n_classes = 8 ,..., y = make_classification ( n_samples = 500 , n_features = 15...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_rfe_with_cross_validation.html
    Sat Apr 19 00:31:22 UTC 2025
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  6. Univariate Feature Selection — scikit-learn 1.6...

    y = load_iris ( return_X_y = True ) # Some noisy...y_train , y_test = train_test_split ( X , y , stratify = y , random_state...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html
    Sat Apr 19 00:31:22 UTC 2025
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  7. LinearSVR — scikit-learn 1.6.1 documentation

    epsilon = 0.0 , tol = 0.0001 , C = 1.0 , loss = 'epsilon_insensitive'...fit_intercept = True , intercept_scaling = 1.0 , dual = 'auto' , verbose...
    scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVR.html
    Thu Apr 17 23:17:18 UTC 2025
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  8. SVR — scikit-learn 1.6.1 documentation

    kernel = 'rbf' , degree = 3 , gamma = 'scale' , coef0 = 0.0 ,..., tol = 0.001 , C = 1.0 , epsilon = 0.1 , shrinking = True , cache_size...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVR.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. Contributing — scikit-learn 1.6.1 documentation

    ( n_clusters = 8 , k = "deprecated" ): if k != "deprecated" :...n_clusters = 8 , k = 'deprecated' ): self . n_clusters = n_clusters...
    scikit-learn.org/stable/developers/contributing.html
    Sat Apr 19 00:31:22 UTC 2025
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  10. 定まったリモートAPI呼び出し (RemoteApi Call) | LastaFlute

    LastaRemoteBehavior { // ========== // Constructor // ========== public Rem...requestManager ); } // ========== // Initialize // ========== @Override protected...
    dbflute.seasar.org/ja/lastaflute/howto/architecture/remoteapicall.html
    Fri Apr 18 17:54:32 UTC 2025
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