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Results 11 - 20 of 727 for g (0.38 sec)
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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 -
gads.js
cD(g.emit.bind(g));var m=g.on,v=g.off,b=(g.get,g.getEven...r A=null===(g=m.ortb2)||void 0===g||null===(g=g.device)||void...adcdn.goo.ne.jp/images/js/gads.js -
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 -
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 -
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 -
Unlock the power of Search AI at Elastic{ON} Be...
2025/2026 forge the future B e n g a l u r u Date 24 September 2025...www.elastic.co/events/elasticon/bengaluru -
roc_auc_score — scikit-learn 1.7.1 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 -
OutputCodeClassifier — scikit-learn 1.7.1 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 -
Fess Configuration Properties
g. 31556926: one year, 86400: one...fess.codelibs.org/15.0/config/properties.html -
plot_multi_metric_evaluation.zip
["g", "k"]): for sample, style in...color in zip(sorted(scoring), [\"g\", \"k\"]):\n for sample, style...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip