online-ml/river

Recursive least squares

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#1,378 建立於 2023年11月1日

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 (5 留言) (0 反應) (1 負責人)Python (4,574 star) (553 fork)batch import
Good first issueNew feature

描述

It seems RLS is a way to reach the same solution as batch linear regression. It's probably more expensive than SGD, but is still interesting.

Resources

貢獻者指南

技術棧
python
領域
machine learning
議題類型
feature
難度面向新貢獻者的預計實作難度，1 表示很小改動，5 表示專家級工作。
3
預計時間有經驗貢獻者完成調查、實作、測試並準備 pull request 的粗略時間範圍。
3-5 days
活動狀態議題目前的可參與程度：新鮮、活躍、陳舊、阻塞或等待維護者輸入。
blocked
清晰度議題是否清楚說明預期改動、驗收標準和下一步。
mostly clear
前置要求
linear algebraonline learningPython
新手友善度1-100 的估計分數，表示該議題對首次貢獻者的友善程度。
15
研究方向
Investigate existing linear model implementations in river/linear model/ to understand the base classes and API patterns. Implement the recursive least squares algorithm using numpy for matrix operations, following the structure of similar online learners. Reference the provided resources for the algorithm details. Note that this issue has an assignee, so coordinate with them to avoid duplicated effort.