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  1. make_biclusters — scikit-learn 1.7.2 documentation

    noise = 0.0 , minval = 10 , maxval = 100 , shuffle = True ,..., rows , cols = make_biclusters ( ... shape = ( 10 , 20 ), n_clusters...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html
    Sat Oct 11 07:51:26 UTC 2025
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  2. documentMap (documentDefinitionMap) | DBFlute

    propertiesHtmlMap = map: { ; df:header = map:{ ; title = [title of PropertiesHTML]...loadDataReverseMap = map: { ; recordLimit = [limit size] # デフォルト:...
    dbflute.seasar.org/ja/manual/reference/dfprop/documentdefinition/index.html
    Mon Sep 15 10:51:18 UTC 2025
      33.7K bytes
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  3. dd7e7a73a408ec06.css

    svg xmlns='http://www.w3.org/2000/svg'><filter id='greyscale'><feColorMatrix...id='greyscale'><feColorMatrix type='matrix' values='0.3333 0.3333 0.3333 0...
    www.elastic.co/_next/static/css/dd7e7a73a408ec06.css
    Wed Oct 08 15:49:21 UTC 2025
      54.8K bytes
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  4. mean_pinball_loss — scikit-learn 1.7.2 document...

    sample_weight = None , alpha = 0.5 , multioutput = 'uniform_average'...absolute error when alpha=0.5 , alpha=0.95 is minimized by estimators...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_pinball_loss.html
    Sat Oct 11 07:51:26 UTC 2025
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  5. LeaveOneOut — scikit-learn 1.7.2 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 Oct 11 07:51:26 UTC 2025
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  6. make_checkerboard — scikit-learn 1.7.2 document...

    noise = 0.0 , minval = 10 , maxval = 100 , shuffle = True ,...rows , columns = make_checkerboard ( shape = ( 300 , 300 ), n_clusters...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html
    Sat Oct 11 07:51:27 UTC 2025
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  7. scale — scikit-learn 1.7.2 documentation

    axis = 0 , with_mean = True , with_std = True , copy = True )...and scale. axis {0, 1}, default=0 Axis used to compute the means...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.scale.html
    Thu Oct 09 16:57:49 UTC 2025
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  8. Confusion matrix — scikit-learn 1.7.2 documenta...

    with iris = datasets . load_iris () X = iris . data y = iris . target...classifier = svm . SVC ( kernel = "linear" , C = 0.01 ) . fit...
    scikit-learn.org/stable/auto_examples/model_selection/plot_confusion_matrix.html
    Sat Oct 11 07:51:25 UTC 2025
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  9. Normalizer — scikit-learn 1.7.2 documentation

    Normalizer ( norm = 'l2' , * , copy = True ) [source] # Normalize...norm {‘l1’, ‘l2’, ‘max’}, default=’l2’ The norm to use to normalize...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.Normalizer.html
    Sat Oct 11 07:51:26 UTC 2025
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  10. RobustScaler — scikit-learn 1.7.2 documentation

    with_centering = True , with_scaling = True , quantile_range = (25.0,...(25.0, 75.0) , copy = True , unit_variance = False ) [source] # Scale...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Sat Oct 11 07:51:25 UTC 2025
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