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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
1.1 KiB
Markdown
21 lines
1.1 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: "Makine \xD6\u011Frenme Fonksiyonlar\u0131"
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---
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# Makine Öğrenme Fonksiyonları {#machine-learning-functions}
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## evalMLMethod (tahmin) {#machine_learning_methods-evalmlmethod}
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Tak fittedılmış regresyon model usinglerini kullanarak tahmin `evalMLMethod` İşlev. Lin seeke bakınız `linearRegression`.
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### Stokastik Doğrusal Regresyon {#stochastic-linear-regression}
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Bu [stokastiklinearregression](../../sql-reference/aggregate-functions/reference.md#agg_functions-stochasticlinearregression) toplama fonksiyonu, doğrusal model ve MSE kayıp fonksiyonunu kullanarak stokastik Gradyan iniş yöntemini uygular. Kullanma `evalMLMethod` yeni veri üzerinde tahmin etmek için.
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### Stokastik Lojistik Regresyon {#stochastic-logistic-regression}
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Bu [stochasticLogisticRegression](../../sql-reference/aggregate-functions/reference.md#agg_functions-stochasticlogisticregression) toplama işlevi, ikili sınıflandırma problemi için stokastik Gradyan iniş yöntemini uygular. Kullanma `evalMLMethod` yeni veri üzerinde tahmin etmek için.
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