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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
1.1 KiB
1.1 KiB
machine_translated, machine_translated_rev, toc_priority, toc_title
| machine_translated | machine_translated_rev | toc_priority | toc_title |
|---|---|---|---|
| true | 72537a2d527c63c07aa5d2361a8829f3895cf2bd | 64 | 機械学習機能 |
機械学習機能
evalMLMethod(予測)
近似回帰モデルを使用した予測では evalMLMethod 機能。 リンクを参照 linearRegression.
確率的線形回帰
その stochasticLinearRegression 集計関数は線形モデルとMSE損失関数を用いた確率勾配降下法を実装する。 用途 evalMLMethod 新しいデータを予測する。
確率ロジスティック回帰
その stochasticLogisticRegression 集計関数は、バイナリ分類問題のための確率勾配降下法を実装しています。 用途 evalMLMethod 新しいデータを予測する。