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* split up select.md * array-join.md basic refactoring * distinct.md basic refactoring * format.md basic refactoring * from.md basic refactoring * group-by.md basic refactoring * having.md basic refactoring * additional index.md refactoring * into-outfile.md basic refactoring * join.md basic refactoring * limit.md basic refactoring * limit-by.md basic refactoring * order-by.md basic refactoring * prewhere.md basic refactoring * adjust operators/index.md links * adjust sample.md links * adjust more links * adjust operatots links * fix some links * adjust aggregate function article titles * basic refactor of remaining select clauses * absolute paths in make_links.sh * run make_links.sh * remove old select.md locations * translate docs/es * translate docs/fr * translate docs/fa * remove old operators.md location * change operators.md links * adjust links in docs/es * adjust links in docs/es * minor texts adjustments * wip * update machine translations to use new links * fix changelog * es build fixes * get rid of some select.md links * temporary adjust ru links * temporary adjust more ru links * improve curly brace handling * adjust ru as well * fa build fix * ru link fixes * zh link fixes * temporary disable part of anchor checks
21 lines
1.2 KiB
Markdown
21 lines
1.2 KiB
Markdown
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machine_translated: true
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machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
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toc_priority: 64
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toc_title: Fonctions D'Apprentissage Automatique
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---
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# Fonctions D'Apprentissage Automatique {#machine-learning-functions}
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## evalMLMethod (prédiction) {#machine_learning_methods-evalmlmethod}
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Prédiction utilisant des modèles de régression ajustés utilise `evalMLMethod` fonction. Voir le lien dans la `linearRegression`.
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### Régression Linéaire Stochastique {#stochastic-linear-regression}
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Le [stochasticLinearRegression](../../sql-reference/aggregate-functions/reference.md#agg_functions-stochasticlinearregression) la fonction d'agrégat implémente une méthode de descente de gradient stochastique utilisant un modèle linéaire et une fonction de perte MSE. Utiliser `evalMLMethod` prédire sur de nouvelles données.
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### Régression Logistique Stochastique {#stochastic-logistic-regression}
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Le [stochasticLogisticRegression](../../sql-reference/aggregate-functions/reference.md#agg_functions-stochasticlogisticregression) la fonction d'agrégation implémente la méthode de descente de gradient stochastique pour le problème de classification binaire. Utiliser `evalMLMethod` prédire sur de nouvelles données.
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