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.