1 unstable release
0.1.0 | Sep 4, 2024 |
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#647 in Algorithms
163 downloads per month
17KB
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asap-rs
A Rust implementation of ASAP (Automatic Smoothing for Attention Prioritization), based on the paper "ASAP: Prioritizing Attention via Time Series Smoothing" learn more: source paper & js code:
This project provides a high-performance Rust implementation of the ASAP algorithm for time series smoothing. It aims to efficiently reduce noise in time series data while preserving significant trends, optimized for visualization purposes.
Usage
use asap_rs::smooth;
fn main() {
// Example data
let data = [1.0, 3.2, 2.0, 3.0, 4.0, 5.0, 4.0, 3.0, 2.0, 1.0];
let resolution = 2;
let smoothed_data = smooth(&data, resolution);
}
Rust vs JS Performance
- Rust: 1.4776ms
+ JS: 8.96ms
Data size: 500000
Smoothed size: 25
Original mean: 2499.97
Smoothed mean: 2499.97
Dependencies
~310KB