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  1. erflute-howto-vdiagram-overview-snapshot.png

    17639795 width=2560, height=1600, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/helper/erflute/erflute-howto-vdiagram-overview-snapshot.png
    Fri Apr 18 17:54:25 UTC 2025
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  2. NearestCentroid — scikit-learn 1.6.1 documentation

    metric = 'euclidean' , * , shrink_threshold = None , priors = 'uniform'...>>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2 ]) >>> clf = NearestCentroid...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html
    Sat Apr 19 00:31:21 UTC 2025
      136.9K bytes
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  3. mean_variance_axis — scikit-learn 1.6.1 documen...

    weights = None , return_sum_weights = False ) [source]...each feature if axis=0 or each sample if axis=1 . Added in version...
    scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.mean_variance_axis.html
    Sat Apr 19 00:31:21 UTC 2025
      110.4K bytes
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  4. r2_score — scikit-learn 1.6.1 documentation

    sample_weight = None , multioutput = 'uniform_average' ,...r2_score >>> y_true = [ 3 , - 0.5 , 2 , 7 ] >>> y_pred = [ 2.5 , 0.0...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.r2_score.html
    Sat Apr 19 00:31:22 UTC 2025
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  5. Prediction Intervals for Gradient Boosting Regr...

    all_models = {} common_params = dict ( learning_rate = 0.05 , n_estimators...n_estimators = 200 , max_depth = 2 , min_samples_leaf = 9 , min_samples_split...
    scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_quantile.html
    Sat Apr 19 00:31:21 UTC 2025
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  6. Release Highlights for scikit-learn 0.23 — scik...

    noise = rng . normal ( loc = 0.0 , scale = 0.01 , size = n_samples...alpha = 0.5 , zorder =- 1 , label = "samples" , color = "tab:green"...
    scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html
    Sat Apr 19 00:31:22 UTC 2025
      145.4K bytes
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  7. ShrunkCovariance — scikit-learn 1.6.1 documenta...

    store_precision = True , assume_centered = False , shrinkage = 0.1 ) [source]...multivariate_normal ( mean = [ 0 , 0 ], ... cov = real_cov , ... size = 500 ) >>>...
    scikit-learn.org/stable/modules/generated/sklearn.covariance.ShrunkCovariance.html
    Sat Apr 19 00:31:21 UTC 2025
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  8. LeaveOneOut — scikit-learn 1.6.1 documentation

    Train: index=[1] Test: index=[0] Fold 1: Train: index=[0] Test:...equivalent to KFold(n_splits=n) and LeavePOut(p=1) where n is the number...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeaveOneOut.html
    Sat Apr 19 00:31:21 UTC 2025
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  9. SAFluteのJSONハンドリング (Json Handling) | DBFlute

    @Java // ========== // Prepare Result // ========== @Override...Required } // ========== // WebBean // ======= protected ApiResultWebBean...
    dbflute.seasar.org/ja/manual/function/helper/saflute/jsonhandling.html
    Fri Apr 18 17:54:32 UTC 2025
      19.9K bytes
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  10. Compare BIRCH and MiniBatchKMeans — scikit-lear...

    c = "w" , edgecolor = col , marker = "." , alpha = 0.5 )...max_no_improvement = 10 , verbose = 0 , random_state = 0 , ) t0 = time ()...
    scikit-learn.org/stable/auto_examples/cluster/plot_birch_vs_minibatchkmeans.html
    Sat Apr 19 00:31:22 UTC 2025
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