plr
| Crates.io | plr |
| lib.rs | plr |
| version | 0.3.1 |
| source | src |
| created_at | 2019-10-13 00:22:46.834766 |
| updated_at | 2022-07-06 20:04:43.168553 |
| description | Performs greedy or optimal error-bounded piecewise linear regression (PLR) and spline regression |
| homepage | |
| repository | https://github.com/RyanMarcus/plr |
| max_upload_size | |
| id | 172024 |
| size | 408,338 |
Ryan Marcus (RyanMarcus)
documentation
README
PLR (piecewise linear regression)
Rust implementation of the greedy and optimal error-bounded PLR algorithms described in:
Qing Xie, Chaoyi Pang, Xiaofang Zhou, Xiangliang Zhang, and Ke Deng. 2014. Maximum error-bounded Piecewise Linear Representation for online stream approximation. The VLDB Journal 23, 6 (December 2014), 915–937. DOI: https://doi.org/10.1007/s00778-014-0355-0
Error-bounded piecewise linear regression is the task of taking a set of datapoints and finding a piecewise linear function that approximates each datapoint within a fixed bound. See the crate documentation for more information.
