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  1. MaxAbsScaler — scikit-learn 1.8.0 documen...

    -1. , 1. ], [ 1. , 0. , 0. ], [ 0. , 1. , -0.5]]) fit...= [[ 1. , - 1. , 2. ], ... [ 2. , 0. , 0. ], ... [ 0. , 1. , -...
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.MaxAbsScaler.html
    Mon Dec 29 13:14:49 GMT 2025
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  2. 移行 1.0.4D to 1.0.4F | DBFlute

    SiteMap | Author's Blog 移行 1.0.4D to 1.0.4F お約束の注意点 環境上の注意点 実装上の注意点...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Dto104F.html
    Thu Jan 01 09:46:59 GMT 2026
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  3. 移行 1.0.4C to 1.0.4D | DBFlute

    SiteMap | Author's Blog 移行 1.0.4C to 1.0.4D お約束の注意点 環境上の注意点 DBコ...
    dbflute.seasar.org/ja/environment/upgrade/migration/migrate104Cto104D.html
    Thu Jan 01 09:46:59 GMT 2026
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  4. RadiusNeighborsTransformer — scikit-learn...

    () array([[1., 0., 1.], [0., 1., 0.], [1., 0., 1.]]) set_output...who’s the closest point to [1, 1, 1]: >>> import numpy...
    scikit-learn.org/stable/modules/generated/sklearn.neighbors.RadiusNeighborsTransformer.html
    Mon Dec 29 13:14:49 GMT 2025
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  5. ExtraTreeClassifier — scikit-learn 1.8.0 ...

    [{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}]. The “balanced” mode uses...
    scikit-learn.org/stable/modules/generated/sklearn.tree.ExtraTreeClassifier.html
    Mon Dec 29 13:14:48 GMT 2025
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  6. PLSSVD — scikit-learn 1.8.0 documentation

    1 , - 0.2 ], ... [ 0.9 , 1.1 ], ... [ 6.2 , 5.9...np . array ([[ 0. , 0. , 1. ], ... [ 1. , 0. , 0. ], ... [ 2. ,...
    scikit-learn.org/stable/modules/generated/sklearn.cross_decomposition.PLSSVD.html
    Mon Dec 29 13:14:49 GMT 2025
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  7. check_X_y — scikit-learn 1.8.0 documentation

    ensure_min_samples = 1 , ensure_min_features = 1 , y_numeric = False...= [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>> y = [ 1 , 2 ,...
    scikit-learn.org/stable/modules/generated/sklearn.utils.check_X_y.html
    Mon Dec 29 13:14:48 GMT 2025
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  8. non_negative_factorization — scikit-learn...

    array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...version 1.4: Added 'auto' value. Changed in version 1.6: Default...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html
    Mon Dec 29 13:14:49 GMT 2025
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  9. TfidfVectorizer — scikit-learn 1.8.0 docu...

    ngram_range=(1 , 1) , max_df=1.0 , min_df=1 , max_features=None...ngram_range of (1, 1) means only unigrams, (1, 2) means unigrams...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html
    Mon Dec 29 13:14:49 GMT 2025
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  10. TunedThresholdClassifierCV — scikit-learn...

    means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn 1.5 Release Highlights for scikit-learn 1.5 On this...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TunedThresholdClassifierCV.html
    Mon Dec 29 13:14:49 GMT 2025
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