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  1. sphinx-design.min.css

    sd-g-0,.sd-gy-0{--sd-gutter-y: 0}.sd-g-0,.sd-gx-0{--sd-gutter-x:...x: 0}.sd-g-1,.sd-gy-1{--sd-gutter-y: 0.25rem}.sd-g-1,.sd-gx-1{--sd-gutter-x:...
    scikit-learn.org/stable/_static/sphinx-design.min.css
    Mon Apr 28 23:26:54 UTC 2025
      48.2K bytes
     
  2. Speeding up merging of HNSW graphs - Elasticsea...

    MERGE-HNSW Inputs G s G_s G s and G l G_l G l 1 \;\; Find J ⊂...Inputs G s G_s G s 1 C ← ∅ \;\;C\leftarrow\emptyset C ← ∅ 2 G a i...
    www.elastic.co/search-labs/blog/hnsw-graphs-speed-up-merging
    Thu Apr 10 00:36:56 UTC 2025
      374K bytes
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  3. gpt.js

    ction(g){return c(g)&&B(g,d)&&B(g[d],this.g)?delete g[d][this.g]:!1};return...=null&&(g=+z,g<m?f[g+-1]=a:(g=void 0,((g=n)!=null?g:n={})[z]...
    securepubads.g.doubleclick.net/tag/js/gpt.js
    Sat Apr 26 00:43:10 UTC 2025
      105.6K bytes
     
  4. bootstrap.js

    c:e[m]=e[m]-(i[g]/2-a[g]/2);break;case h:e[m]=e[m]+(i[g]/2-a[g]/2)}}return...=c?-L[W]:-k[W],G=e.elements.arrow,J=b&&G?B(G):{width:0,heigh...
    scikit-learn.org/stable/_static/scripts/bootstrap.js
    Mon Apr 28 23:26:52 UTC 2025
      79.8K bytes
     
  5. pydata-sphinx-theme.js

    n[o]))}var g=()=>{let e=document.querySele...put"):void 0},v=()=>{const e=g(),t=document.getElementById("...
    scikit-learn.org/stable/_static/scripts/pydata-sphinx-theme.js
    Mon Apr 28 23:26:53 UTC 2025
      10.9K bytes
     
  6. 1.17. Neural network models (supervised) — scik...

    non-linear activation function \(g(\cdot):R \rightarrow R\) - like...learns the function \(f(x) = W_2 g(W_1^T x + b_1) + b_2\) where \(W_1...
    scikit-learn.org/stable/modules/neural_networks_supervised.html
    Mon Apr 28 23:26:52 UTC 2025
      66.5K bytes
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  7. OutputCodeClassifier — scikit-learn 1.6.1 docum...

    Bakiri G., Journal of Artificial Intelligence...coding method and PICTs”, James G., Hastie T., Journal of Computational...
    scikit-learn.org/stable/modules/generated/sklearn.multiclass.OutputCodeClassifier.html
    Mon Apr 28 23:26:54 UTC 2025
      132.6K bytes
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  8. roc_auc_score — scikit-learn 1.6.1 documentation

    the ROC as follows: G = 2 * AUC - 1 Where G is the Gini coefficient...
    scikit-learn.org/stable/modules/generated/sklearn.metrics.roc_auc_score.html
    Mon Apr 28 23:26:54 UTC 2025
      130.8K bytes
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  9. 6.2. Feature extraction — scikit-learn 1.6.1 do...

    s \x00 \x00 G \x00 e \x00 s \x00 a \x00 n \x00 g \x00 e \x00...possibilities without ordering (e.g. topic identifiers, types of objects,...
    scikit-learn.org/stable/modules/feature_extraction.html
    Mon Apr 28 23:26:52 UTC 2025
      143.4K bytes
      1 views
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  10. 6.3. Preprocessing data — scikit-learn 1.6.1 do...

    1]\) then \(G^{-1}(U)\) has distribution \(G\) . By performing...distribution based on the formula \(G^{-1}(F(X))\) where \(F\) is the...
    scikit-learn.org/stable/modules/preprocessing.html
    Mon Apr 28 23:26:54 UTC 2025
      197.2K bytes
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