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  1. ClassicalMDS — scikit-learn 1.8.0 documentation

    ClassicalMDS ( n_components = 2 , * , metric = 'euclidean' , metric_params...Parameters : n_components int, default=2 Number of embedding dimensions....
    scikit-learn.org/stable/modules/generated/sklearn.manifold.ClassicalMDS.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. The Johnson-Lindenstrauss bound for embedding w...

    \|u - v\|^2 < \|p(u) - p(v)\|^2 < (1 + eps) \|u - v\|^2\] Where...\geq 4 log(n\_samples) / (eps^2 / 2 - eps^3 / 3)\] The first plot...
    scikit-learn.org/stable/auto_examples/miscellaneous/plot_johnson_lindenstrauss_bound.html
    Mon Mar 23 20:39:21 UTC 2026
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  3. Blind source separation using FastICA — scikit-...

    # Signal 2 : square signal s3 = signal . sawtooth ( 2 * np . pi...1 , 1 ], [ 0.5 , 2 , 1.0 ], [ 1.5 , 1.0 , 2.0 ]]) # Mixing matrix...
    scikit-learn.org/stable/auto_examples/decomposition/plot_ica_blind_source_separation.html
    Mon Mar 23 20:39:22 UTC 2026
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  4. 日志配置

    /^\d{4}-\d{2}-\d{2}/ format1 /^(?&lt;time&gt;\d{4}-\d{2}-\d{2} \d{...\d{2}:\d{2}:\d{2},\d{3}) \[(?&lt;thread&gt;.*?)\] (?&lt;level&g...
    fess.codelibs.org/zh-cn/15.4/config/admin-logging.html
    Mon Feb 09 02:53:42 UTC 2026
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  5. Lagged features for time series forecasting — s...

    2) season count cat u32 "0" 4496 "3" 4232 "1" 4242 "2" 4409...3.5" "39.1 ± 2.3" "17.7 ± 1.3" "19.5 ± 1.1" "21.4 ± 2.4" "poisson"...
    scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html
    Mon Mar 23 20:39:22 UTC 2026
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  6. RBF — scikit-learn 1.8.0 documentation

    x_j)^2}{2l^2} \right)\] where \(l\) is the...very smooth. See [2] , Chapter 4, Section 4.2, for further details...
    scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RBF.html
    Mon Mar 23 20:39:21 UTC 2026
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  7. Allgemein

    1: Docker (Empfohlen) Methode 2: ZIP-Paket Voraussetzungen Download...Web-Crawl-Konfiguration erstellen Schritt 2: Crawler ausführen Schritt 3:...
    fess.codelibs.org/de/overview.html
    Mon Mar 23 02:49:43 UTC 2026
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  8. Effect of varying threshold for self-training —...

    capsize = 2 , color = "b" ) ax1 . set_ylabel.... std ( axis = 1 ), capsize = 2 , color = "g" , ) ax2 . set_ylim...
    scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. OneVsOneClassifier — scikit-learn 1.8.0 documen...

    X_test [: 10 ]) array([2, 1, 0, 2, 0, 2, 0, 1, 1, 1]) decision_function...n_classes * (n_classes - 1) / 2 classifiers, this method is usually...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OneVsOneClassifier.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. Multiclass Receiver Operating Characteristic (R...

    This can be done in 2 different ways: the One-vs-Rest...linearly separable from the other 2; the latter are not linearly separable...
    scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html
    Mon Mar 23 20:39:22 UTC 2026
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