thevar1able/ClickHouse
1
0
Fork 0
mirror of https://github.com/ClickHouse/ClickHouse.git synced 2024-11-16 04:32:33 +00:00
Code Issues Packages Projects Releases Wiki Activity
8a88e213b1
ClickHouse/docs/ja/sql-reference/functions/machine-learning-functions.md
Ivan Blinkov cd14f9ebcb
SQL reference refactoring (#10857) 
* 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
2020-05-15 07:34:54 +03:00

1.1 KiB
Raw Blame History

machine_translated machine_translated_rev toc_priority toc_title
true 72537a2d52 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。