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  1. Application performance monitoring (APM) with E...

    frameworks including Java, .NET, Python, Go, Node.js, Ruby, PHP,...auto-instrumentation for Java, .NET, Python, Node.js, PHP, iOS,...
    www.elastic.co/observability/application-performance-monitoring
    Mon Nov 03 00:15:32 UTC 2025
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  2. Replace Splunk with Elastic for logs, security,...

    events, metrics, traces, profiling, business data, etc.) with fast...all data (logs, events, metrics, traces, profiling, business...
    www.elastic.co/splunk-replacement
    Mon Nov 03 00:15:00 UTC 2025
      514K bytes
      2 views
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  3. elastic-principles-for-public-authority-request...

    D:20250114154455+00'00' Microsoft Word D:20250114154455+00'00'...remedies. 1 https://legalinstruments.oecd.org/en/instruments/OECD-LEGAL-0487...
    www.elastic.co/pdf/elastic-principles-for-public-authority-requests-for-customer-information.pdf
    Mon Nov 03 00:27:20 UTC 2025
      205.5K bytes
     
  4. v100623-0-elastic-customer-dpa.pdf

    ion-security-addendum- consolidated-v030121-3.pdf. 1.4 EEA"...Commissioner (a Swiss Restricted Transfer). 1.8 Security Breach means...
    www.elastic.co/pdf/v100623-0-elastic-customer-dpa.pdf
    Mon Nov 03 00:27:31 UTC 2025
      259.9K bytes
     
  5. 1.11. Ensembles: Gradient boosting, random fore...

    classification, in particular for tabular data. 1.11.1.1. Histogram-Based...Gradient Boosting models 1.11.1.1.1. Usage # Most of the parameters...
    scikit-learn.org/stable/modules/ensemble.html
    Sat Nov 01 09:15:34 UTC 2025
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  6. 1.2. Linear and Quadratic Discriminant Analysis...

    \left(-\frac{1}{2} (x-\mu_k)^t \Sigma_k^{-1} (x-\mu_k)\right)\]...(x-\mu_k)\right)\] where \(d\) is the number of features. 1.2.2.1. QDA # According...
    scikit-learn.org/stable/modules/lda_qda.html
    Sat Nov 01 09:15:34 UTC 2025
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  7. 2.7. Novelty and Outlier Detection scikit-lea...

    computation 13.7 (2001): 1443-1471. Examples See One-class SVM with...data set. References Rousseeuw, P.J., Van Driessen, K. A fast...
    scikit-learn.org/stable/modules/outlier_detection.html
    Sat Nov 01 09:15:34 UTC 2025
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  8. 1.1. Linear Models scikit-learn 1.7.2 documen...

    0 ], [ 1 , 1 ]], [ 0 , .1 , 1 ]) Ridge(alpha=0.5) >>> reg . coef_...predicted value. \[\hat{y}(w, x) = w_0 + w_1 x_1 + ... + w_p x_p\]...
    scikit-learn.org/stable/modules/linear_model.html
    Sat Nov 01 09:15:34 UTC 2025
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  9. check_is_fitted scikit-learn 1.7.2 documentation

    fitted yet. >>> lr . fit ([[ 1 , 2 ], [ 1 , 3 ]], [ 1 , 0 ]) LogisticRegression()...["coef_", "estimator_", ...], "coef_" If None , estimator is considered...
    scikit-learn.org/stable/modules/generated/sklearn.utils.validation.check_is_fitted.html
    Sat Nov 01 09:15:34 UTC 2025
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  10. chi2 scikit-learn 1.7.2 documentation

    1 ], ... [ 6 , 6 , 2 ], ... [ 1 , 4 , 0 ], ... [ 0 , 0 , 0 ]])...np . array ([[ 1 , 1 , 3 ], ... [ 0 , 1 , 5 ], ... [ 5 , 4 ,...
    scikit-learn.org/stable/modules/generated/sklearn.feature_selection.chi2.html
    Sat Nov 01 09:15:34 UTC 2025
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