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  1. BernoulliNB — scikit-learn 1.6.1 documentation

    alpha = 1.0 , force_alpha = True , binarize = 0.0 , fit_prior...fit_prior = True , class_prior = None ) [source] # Naive Bayes classifier...
    scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.BernoulliNB.html
    Sat Apr 19 00:31:22 UTC 2025
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  2. OneToOneFeatureMixin — scikit-learn 1.6.1 docum...

    y = None ): ... self . n_features_in_ = X . shape [...dtype=object) get_feature_names_out ( input_features = None )...
    scikit-learn.org/stable/modules/generated/sklearn.base.OneToOneFeatureMixin.html
    Sat Apr 19 00:31:22 UTC 2025
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  3. 3.5. Validation curves: plotting scores to eval...

    y = load_iris ( return_X_y = True ) >>> indices = np . arange...shuffle X , y = load_iris ( return_X_y = True ) X , y = shuffle (...
    scikit-learn.org/stable/modules/learning_curve.html
    Sat Apr 19 00:31:22 UTC 2025
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  4. nan_euclidean_distances — scikit-learn 1.6.1 do...

    Y = None , * , squared = False , missing_values = nan , copy...samples in X and Y, where Y=X is assumed if Y=None. When calculating...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.nan_euclidean_distances.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Movie: Threads | FanFare

    <div class="svg-sprite" id="svg-sprite-container" style="display:none"></div>...type="text/javascript"> !function() { var static_server = 'dh...
    fanfare.metafilter.com/11259/Threads
    Wed Apr 09 00:48:02 UTC 2025
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  6. Compare Stochastic learning strategies for MLPC...

    ) mlp = MLPClassifier ( random_state = 0 , max_iter = max_iter...make_circles ( noise = 0.2 , factor = 0.5 , random_state = 1 ), datasets...
    scikit-learn.org/stable/auto_examples/neural_networks/plot_mlp_training_curves.html
    Sat Apr 19 00:31:21 UTC 2025
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  7. SQLServerの取扱い | DBFlute

    ;databaseName=[dbname]; ; schema = dbo ; user = [dbuser] ; password...databaseName=exampledb; ; schema = dbo ; user = exampledb ; password...
    dbflute.seasar.org/ja/manual/reference/dbway/sqlserver/index.html
    Fri Apr 18 17:54:32 UTC 2025
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  8. IsolationForest — scikit-learn 1.6.1 documentation

    n_estimators = 100 , max_samples = 'auto' , contamination = 'auto'...max_features = 1.0 , bootstrap = False , n_jobs = None , random_state...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html
    Sat Apr 19 00:31:22 UTC 2025
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  9. 1.2. Linear and Quadratic Discriminant Analysis...

    \mathcal{R}^d\) : \[P(y=k | x) = \frac{P(x | y=k) P(y=k)}{P(x)} = \frac{P(x...P(y=k | x) &= \log P(x | y=k) + \log P(y = k) + Cst \\ &= -\frac{1}{2}...
    scikit-learn.org/stable/modules/lda_qda.html
    Sat Apr 19 00:31:21 UTC 2025
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  10. 自動生成ドリブン | DBFlute

    Member member = memberBhv .selectEntity(cb); ... = member. getMemberName()...Member member = memberBhv .selectEntity(cb); ... = member. getLastName()...
    dbflute.seasar.org/ja/introduction/gendriven.html
    Fri Apr 18 17:54:32 UTC 2025
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