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  1. ermaster-b-eclipse-plugin.zip

    obj) { if (this == obj) { return true; } if (obj == null) { return...(@physicalColumnName == null) { if (other.@physicalColumnName != null) { return...
    dbflute.seasar.org/download/misc/friends/ermaster-b-eclipse-plugin.zip
    Fri Jun 13 09:55:28 UTC 2025
      4.7M bytes
      29 views
     
  2. Scalable learning with polynomial kernel approx...

    y = fetch_covtype ( return_X_y = True ) y [ y != 2 ] = 0 y...SVC ksvm = SVC ( C = 500.0 , kernel = "poly" , degree = 4 , coef0...
    scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html
    Thu Jul 03 11:42:06 UTC 2025
      115.5K bytes
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  3. FeatureHasher and DictVectorizer Comparison — s...

    _ = fetch_20newsgroups ( subset = "train" , categories = categories...dict_count_vectorizers = defaultdict ( list ) t0 = time () vectorizer = DictVectorizer...
    scikit-learn.org/stable/auto_examples/text/plot_hashing_vs_dict_vectorizer.html
    Thu Jul 03 11:42:05 UTC 2025
      143.5K bytes
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  4. 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
      103.2K bytes
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  5. 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
      133.7K bytes
      1 views
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  6. SAFluteで非同期処理 (Async) | DBFlute

    /= = = = = = = = = = = = = = = = = = = = = = = = = = = = =...eableSqlSt@1d1c4db} = = = = = = = = = =/ [00m3s385ms] #2caaa834...
    dbflute.seasar.org/ja/manual/function/helper/saflute/asynchronous.html
    Fri Jun 13 09:55:28 UTC 2025
      25K bytes
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  7. roc_auc_score — scikit-learn 1.7.0 documentation

    average = 'macro' , sample_weight = None , max_fpr = None , multi_class..., y = load_breast_cancer ( return_X_y = True ) >>> clf = LogisticRegression...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
    Thu Jul 03 11:42:05 UTC 2025
      131.3K bytes
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  8. L1 Penalty and Sparsity in Logistic Regression ...

    clf_l1_LR = LogisticRegression ( C = C , penalty = "l1" , tol = 0.01...penalty = "l2" , tol = 0.01 , solver = "saga" ) clf_en_LR = LogisticRegression...
    scikit-learn.org/stable/auto_examples/linear_model/plot_logistic_l1_l2_sparsity.html
    Thu Jul 03 11:42:05 UTC 2025
      99.5K bytes
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  9. Single estimator versus bagging: bias-variance ...

    * 10 - 5 X = np . sort ( X ) if n_repeat == 1 : y = f ( X ) +...X_train = [] y_train = [] for i in range ( n_repeat ): X , y = generate...
    scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html
    Thu Jul 03 11:42:05 UTC 2025
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  10. SGD: Maximum margin separating hyperplane — sci...

    Y = make_blobs ( n_samples = 50 , centers = 2 , random_state...random_state = 0 , cluster_std = 0.60 ) # fit the model clf = SGDClassifier...
    scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_separating_hyperplane.html
    Thu Jul 03 11:42:06 UTC 2025
      90.8K bytes
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