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  1. fetch_rcv1 — scikit-learn 1.7.2 documentation

    data_home = None , subset = 'all' , download_if_missing = True ,...random_state = None , shuffle = False , return_X_y = False , n_retries...
    scikit-learn.org/stable/modules/generated/sklearn.datasets.fetch_rcv1.html
    Fri Oct 10 15:14:35 UTC 2025
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  2. 移行 1.0.x to 1.1 | DBFlute

    # ; code=[code]; name=[name]; alias=[alias]; comment=[comment]...[classification-name] = list:{ # ; map:{ # ; topComment=[comment]; codeType=[String(default)...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate10xto11x.html
    Mon Sep 15 10:51:17 UTC 2025
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  3. LabelSpreading — scikit-learn 1.7.2 documentation

    kernel = 'rbf' , * , gamma = 20 , n_neighbors = 7 , alpha = 0.2...0.2 , max_iter = 30 , tol = 0.001 , n_jobs = None ) [source] # LabelSpreading...
    scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelSpreading.html
    Thu Oct 09 16:57:49 UTC 2025
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  4. lastafluteMap.dfprop | LastaFlute

    ; commonMap = map: { ; path = .. ; freeGenList = list: { env...applications ; appMap = map: { ; dockside = map: { ; path = ../../maihama-dockside...
    dbflute.seasar.org/ja/lastaflute/howto/dbflute/ladfprop.html
    Mon Sep 15 10:51:17 UTC 2025
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  5. Ridge — scikit-learn 1.7.2 documentation

    max_iter = None , tol = 0.0001 , solver = 'auto' , positive = False...( alpha = 1.0 , * , fit_intercept = True , copy_X = True , max_iter...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.Ridge.html
    Fri Oct 10 15:14:33 UTC 2025
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  6. ColumnTransformer — scikit-learn 1.7.2 document...

    len(transformers_)==len(transformers)+1 , otherwise len(transformers_)==len(transformers)...remainder = 'drop' , sparse_threshold = 0.3 , n_jobs = None , transformer_weights...
    scikit-learn.org/stable/modules/generated/sklearn.compose.ColumnTransformer.html
    Fri Oct 10 15:14:35 UTC 2025
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  7. RegressorMixin — scikit-learn 1.7.2 documentation

    >>> estimator = MyEstimator ( param = 0 ) >>> X = np . array ([[...self , * , param = 1 ): ... self . param = param ... def fit...
    scikit-learn.org/stable/modules/generated/sklearn.base.RegressorMixin.html
    Fri Oct 10 15:14:35 UTC 2025
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  8. A demo of the Spectral Biclustering algorithm —...

    shape = ( 300 , 300 ), n_clusters = n_clusters , noise = 10 ,...make_checkerboard n_clusters = ( 4 , 3 ) data , rows , columns = make_checkerboard...
    scikit-learn.org/stable/auto_examples/bicluster/plot_spectral_biclustering.html
    Fri Oct 10 15:14:35 UTC 2025
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  9. StandardScaler — scikit-learn 1.7.2 documentation

    copy = True , with_mean = True , with_std = True ) [source]...to None when with_mean=False and with_std=False . var_ ndarray...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.StandardScaler.html
    Fri Oct 10 15:14:36 UTC 2025
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  10. sigmoid_kernel — scikit-learn 1.7.2 documentation

    Y = None , gamma = None , coef0 = 1 ) [source] #...array. If None , uses Y=X . gamma float, default=None Coefficient of...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.sigmoid_kernel.html
    Fri Oct 10 15:14:35 UTC 2025
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