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  1. IsolationForest example — scikit-learn 1.8.0 do...

    2 ) @ covariance + np . array ([ 2 , 2 ]) # general...randn ( n_samples , 2 ) + np . array ([ - 2 , - 2 ]) # spherical outliers...
    scikit-learn.org/stable/auto_examples/ensemble/plot_isolation_forest.html
    Mon Mar 23 20:39:21 UTC 2026
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  2. DBSCAN — scikit-learn 1.8.0 documentation

    2 ], [ 2 , 2 ], [ 2 , 3 ], ... [ 8 , 7 ],...memory complexity of \(O({n}^2)\) , which can occur when the...
    scikit-learn.org/stable/modules/generated/sklearn.cluster.DBSCAN.html
    Mon Mar 23 20:39:23 UTC 2026
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  3. Manage your allocators capacity | Elastic Docs

    instance size vCPU 1024 2 2048 2 4096 2 8192 2 16384 4 32768 8 This...formula: Math.min(16,Math.max(2,(16*instanceCapacity*1.0/1024/64).toInt))...
    www.elastic.co/docs/deploy-manage/deploy/cloud-enterprise/ece-manage-capacity
    Thu Mar 19 11:49:39 UTC 2026
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  4. RobustScaler — scikit-learn 1.8.0 documentation

    - 2. , 2. ], ... [ - 2. , 1. , 3. ], ... [ 4. , 1. , - 2. ]]...transform ( X ) array([[ 0. , -2. , 0. ], [-1. , 0. , 0.4], [ 1....
    scikit-learn.org/stable/modules/generated/sklearn.preprocessing.RobustScaler.html
    Mon Mar 23 20:39:20 UTC 2026
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  5. Plot classification boundaries with different S...

    2 , 0.5 ], [ 0.2 , - 2.0 ], [ 0.5 , - 2.4 ], [ 0.2 , - 2.3...[ - 1.3 , - 1.2 ], [ - 1.1 , - 0.2 ], [ - 1.2 , - 0.4 ], [ -...
    scikit-learn.org/stable/auto_examples/svm/plot_svm_kernels.html
    Mon Mar 23 20:39:21 UTC 2026
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  6. Log Configuration

    /^\d{4}-\d{2}-\d{2}/ format1 /^(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2},\d{3})...\d{2}:\d{2}:\d{2},\d{3}) \[(?<thread>.*?)\] (?<level>\w+)\s+(?<logger>.*?)...
    fess.codelibs.org/15.5/config/admin-logging.html
    Mon Mar 23 02:47:54 UTC 2026
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  7. test.log

    2024-11-13 10:00:05 INFO [worker-2] Indexing document: test.pdf 2024-11-13...2024-11-13 10:00:06 DEBUG [worker-2] Extracted text content: 吾輩は猫である。名前はまだない。...
    raw.githubusercontent.com/codelibs/fess-testdata/master/files/logs/test.log
    Mon Apr 13 00:11:19 UTC 2026
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  8. Species distribution modeling — scikit-learn 1....

    s = 2 ** 2 , c = "black" , marker = "^"...pts_test [ "dd lat" ], s = 2 ** 2 , c = "black" , marker = "x"...
    scikit-learn.org/stable/auto_examples/applications/plot_species_distribution_modeling.html
    Mon Mar 23 20:39:20 UTC 2026
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  9. Model-based and sequential feature selection — ...

    2 area (worst): 185.2 4254.0 smoothness (worst):...Since we want to select only 2 features, we will set this threshold...
    scikit-learn.org/stable/auto_examples/feature_selection/plot_select_from_model_diabetes.html
    Mon Mar 23 20:39:20 UTC 2026
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  10. HistGradientBoostingRegressor — scikit-learn 1....

    float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn 1.2 Release Highlights for scikit-learn 1.2 Release Highlights...
    scikit-learn.org/stable/modules/generated/sklearn.ensemble.HistGradientBoostingRegressor.html
    Mon Mar 23 20:39:21 UTC 2026
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