scalanlp/breeze

Windowed Time Series Data in Matrices

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#586 创建于 2016年9月22日

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 (0 评论) (0 反应) (0 负责人)Scala (3,453 star) (690 fork)batch import
help wantedproject

描述

As new data becomes available you might need to drop the oldest column or row and insert a new column or row with the new data. Is it possible to provide this functionality with a circular indexing along the particular dimension?

贡献者指南

技术栈
scala
领域
data
议题类型
feature
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
3
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-2 days
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
basic Scalafamiliarity with Breeze
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
30
研究方向
This is a feature request for windowed time series data handling in Breeze matrices. The core idea is to enable circular indexing along a dimension to efficiently drop old columns/rows and insert new ones. To implement, explore the current matrix slicing and indexing capabilities in Breeze (e.g., DenseMatrix, CSCMatrix). Look at existing views or slice operations, then design a wrapper or additional method that uses modular arithmetic for index mapping. Since the issue is old and has no comments, it would be wise to open a discussion on the Breeze issue tracker to clarify design requirements and seek maintainer input before implementation.
Windowed Time Series Data in Matrices · scalanlp/breeze#586 | Good First Issue