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  1. One-Class SVM versus One-Class SVM using Stocha...

    X_outliers = rng . uniform ( low =- 4 , high = 4 , size = ( 20 ,...[:, 1 ], c = "white" , s = s , edgecolors = "k" ) b2 = plt . scatter...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgdocsvm_vs_ocsvm.html
    Thu Jul 03 11:42:06 UTC 2025
      122.7K bytes
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  2. enhanced-sastruts-blank.zip

    version=1 encoding/<project>=UTF-8 enhanced-sast...eclipse.preferences.version=1 line.separator=\n enhanced-sastruts-...
    dbflute.seasar.org/download/misc/friends/enhanced-sastruts-blank.zip
    Fri Jun 13 09:55:28 UTC 2025
      94.9K bytes
      1 views
     
  3. A demo of the mean-shift clustering algorithm —...

    colors ): my_members = labels == k cluster_center = cluster_centers...n_samples = 10000 , centers = centers , cluster_std = 0.6 ) Compute...
    scikit-learn.org/stable/auto_examples/cluster/plot_mean_shift.html
    Thu Jul 03 11:42:05 UTC 2025
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  4. SVC — scikit-learn 1.7.0 documentation

    C = 1.0 , kernel = 'rbf' , degree = 3 , gamma = 'scale'...coef0 = 0.0 , shrinking = True , probability = False , tol = 0.001...
    scikit-learn.org/stable/modules/generated/sklearn.svm.SVC.html
    Thu Jul 03 11:42:05 UTC 2025
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  5. ハンズオンセクション 4 | DBFlute

    ; map: {code=1; name=True ; alias=はい ; comment=有効を示す} ; map:...map: {code=0; name=False; alias=いいえ; comment=無効を示す} } ; MemberStatus...
    dbflute.seasar.org/ja/tutorial/handson/section04.html
    Fri Jun 13 09:55:28 UTC 2025
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  6. LassoLars — scikit-learn 1.7.0 documentation

    copy_X = True , fit_path = True , positive = False , jitter = None...( alpha = 1.0 , * , fit_intercept = True , verbose = False ,...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.LassoLars.html
    Thu Jul 03 11:42:04 UTC 2025
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  7. 利用方法

    archetype:generate \ -DgroupId=グループID \ -DartifactId=プロジェクトID \ -Darchet...は最新のバージョンを利用してください。 <?xml version="1.0" encoding="UTF-8"?> <project> ......
    dbflute.seasar.org/maven/plugin/ja/usage.html
    Fri Jun 13 09:55:28 UTC 2025
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  8. plot_kmeans_digits.rst.txt

    metrics): ========== ========== Shorthand full name ========== ==========...silhouette coefficient ========== ========== .. GENERATED FROM PYTHON...
    scikit-learn.org/stable/_sources/auto_examples/cluster/plot_kmeans_digits.rst.txt
    Thu Jul 03 11:42:04 UTC 2025
      10.5K bytes
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  9. DecisionTreeRegressor — scikit-learn 1.7.0 docu...

    criterion = 'squared_error' , splitter = 'best' , max_depth = None...min_weight_fraction_leaf = 0.0 , max_features = None , random_state = None , max_leaf_nodes...
    scikit-learn.org/stable/modules/generated/sklearn.tree.DecisionTreeRegressor.html
    Mon Jun 30 13:50:30 UTC 2025
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  10. Gradient Boosting regression — scikit-learn 1.7...

    n_repeats = 10 , random_state = 42 , n_jobs = 2 ) sorted_idx = result...data. diabetes = datasets . load_diabetes () X , y = diabetes . data...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html
    Thu Jul 03 11:42:06 UTC 2025
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