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  1. friends-IntelliJ-LiveTemplates-importflow30-liv...

    17639795 width=1008, height=534, bitDepth=8, colorType=RGBAlpha, ...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/ja/data/model/friends/intellij/livetemplates/friends-IntelliJ-LiveTemplates-im...
    Tue Aug 12 02:41:09 UTC 2025
      137K bytes
     
  2. Visualizing the probabilistic predictions of a ...

    low =- 1 , high = 1 , size = ( n_samples , 2 )), columns = feature_names...noise = rng . normal ( loc = 0 , scale = 0.1 , size = ( n_samples...
    scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html
    Mon Aug 25 13:49:23 UTC 2025
      175.2K bytes
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  3. TimeSeriesSplit — scikit-learn 1.7.1 documentation

    TimeSeriesSplit(gap=0, max_train_size=None, n_splits=5, test_size=None) >>>...n_splits = 5 , * , max_train_size = None , test_size = None , gap...
    scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html
    Mon Aug 25 13:49:24 UTC 2025
      129.5K bytes
      2 views
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  4. Feature agglomeration vs. univariate selection ...

    n_samples = 200 size = 40 # image size roi_size = 15 snr = 5.0 np...sigma = 1.0 ) . ravel () X -= X . mean ( axis = 0 ) X /= X . std...
    scikit-learn.org/stable/auto_examples/cluster/plot_feature_agglomeration_vs_univariate_selection....
    Mon Aug 25 13:49:19 UTC 2025
      112.4K bytes
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  5. MiniBatchDictionaryLearning — scikit-learn 1.7....

    n_components = None , * , alpha = 1 , max_iter = 1000 , fit_algorithm...fit_algorithm = 'lars' , n_jobs = None , batch_size = 256 , shuffle...
    scikit-learn.org/stable/modules/generated/sklearn.decomposition.MiniBatchDictionaryLearning.html
    Mon Aug 25 13:49:19 UTC 2025
      149.7K bytes
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  6. Agglomerative clustering with different metrics...

    lines = plt . plot ( X [ y == l ] . T , c = color , alpha = 0.5...i , j ] = pairwise_distances ( X [ y == i ], X [ y == j ], metric...
    scikit-learn.org/stable/auto_examples/cluster/plot_agglomerative_clustering_metrics.html
    Mon Aug 25 13:49:18 UTC 2025
      111.2K bytes
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  7. Simple 1D Kernel Density Estimation — scikit-le...

    if x == 0 : return "0" elif x == 1 : return "h" elif x == - 1...( left = 0.05 , right = 0.95 , hspace = 0.05 , wspace = 0.05 )...
    scikit-learn.org/stable/auto_examples/neighbors/plot_kde_1d.html
    Mon Aug 25 13:49:19 UTC 2025
      116.1K bytes
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  8. Compressive sensing: tomography reconstruction ...

    hspace = 0.01 , wspace = 0.01 , top = 1 , bottom = 0 , left = 0 ,...x , dx = 1 , orig = 0 ): x = np . ravel ( x ) floor_x = np . floor...
    scikit-learn.org/stable/auto_examples/applications/plot_tomography_l1_reconstruction.html
    Mon Aug 25 13:49:19 UTC 2025
      112.8K bytes
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  9. Pipeline ANOVA SVM — scikit-learn 1.7.1 documen...

    n_informative = 3 , n_redundant = 0 , n_classes = 2 , n_clusters_per_class...anova_filter = SelectKBest ( f_classif , k = 3 ) clf = LinearSVC...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection_pipeline.html
    Mon Aug 25 13:49:19 UTC 2025
      116.5K bytes
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  10. plot_release_highlights_1_7_0.rst.txt

    y: ========== Release Highlights for scikit-learn 1.7 ==========...========== .. currentmodule:: sklearn We are pleased to announce the...
    scikit-learn.org/stable/_sources/auto_examples/release_highlights/plot_release_highlights_1_7_0.r...
    Mon Aug 25 13:49:18 UTC 2025
      66.3K bytes
     
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