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  1. Plot the decision surface of decision trees tra...

    Parameters n_classes = 3 plot_colors = "ryb" plot_step = 0.02 for pairidx...tight_layout ( h_pad = 0.5 , w_pad = 0.5 , pad = 2.5 ) DecisionBoundaryDisp...
    scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html
    Thu Apr 17 23:17:16 UTC 2025
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  2. LastaFluteのアプリログ | LastaFlute

    <property name="domain.name" value="harbor"/> <property name="log.level"...name="backup.max.history" value="180"/> <appender name="console"...
    dbflute.seasar.org/ja/lastaflute/howto/structure/applogging.html
    Mon Apr 07 07:01:47 UTC 2025
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  3. Features in Histogram Gradient Boosting Trees —...

    electricity = fetch_openml ( name = "electricity" , version = 1 , as_frame...as_frame = True , parser = "pandas" ) df = electricity . frame...
    scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.html
    Thu Apr 17 23:17:17 UTC 2025
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  4. Crafting a minimal reproducer for scikit-learn ...

    n_samples = 100 n_components = 3 X, y = make_blobs(n_samples=n_samples,...random_state = 42 ) scaler = StandardScaler ( with_mean = False )...
    scikit-learn.org/stable/developers/minimal_reproducer.html
    Thu Apr 17 23:17:18 UTC 2025
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  5. HashingVectorizer — scikit-learn 1.6.1 document...

    binary=False , norm='l2' , alternate_sign=True , dtype=<class..., input='content' , encoding='utf-8' , decode_error='strict'...
    scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.HashingVectorizer.html
    Thu Apr 17 23:17:16 UTC 2025
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  6. Quantile regression — scikit-learn 1.6.1 docume...

    linspace ( start = 0 , stop = 10 , num = 100 ) X = x [:, np . newaxis...axs = plt . subplots ( nrows = 2 , ncols = 2 , figsize = ( 15...
    scikit-learn.org/stable/auto_examples/linear_model/plot_quantile_regression.html
    Thu Apr 17 23:17:16 UTC 2025
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  7. spectral_clustering — scikit-learn 1.6.1 docume...

    n_clusters = 8 , n_components = None , eigen_solver = None , random_state...random_state = None , n_init = 10 , eigen_tol = 'auto' , assign_labels...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.spectral_clustering.html
    Thu Apr 17 23:17:16 UTC 2025
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  8. SGDRegressor — scikit-learn 1.6.1 documentation

    tol = 0.001 , shuffle = True , verbose = 0 , epsilon = 0.1 , random_state...( loss = 'squared_error' , * , penalty = 'l2' , alpha = 0.0001...
    scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html
    Thu Apr 17 23:17:18 UTC 2025
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  9. GMM Initialization Methods — scikit-learn 1.6.1...

    ( bottom = 0.1 , top = 0.9 , hspace = 0.15 , wspace = 0.05 , left...n_components = 4 , means_init = ini , tol = 1e-9 , max_iter = 2000 ,...
    scikit-learn.org/stable/auto_examples/mixture/plot_gmm_init.html
    Thu Apr 17 23:17:17 UTC 2025
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  10. alter-step2-failure-log.png

    17639795 width=2320, height=1554, bitDepth=8, colorType=RGBAlpha,...translatedKeyword=, text=<x:xmpmeta xmlns:x="adobe:ns:meta/" x:xmptk="XMP...
    dbflute.seasar.org/data/snapshot/intro/alter/alter-step2-failure-log.png
    Mon Apr 07 07:01:41 UTC 2025
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