2 releases
0.1.1 | Sep 26, 2022 |
---|---|
0.1.0 | May 11, 2022 |
#44 in #mathematics
54KB
hampel
Sequential outlier detection and removal using Hampel identifiers.
It supports f32
and f64
.
Usage
Add this to your Cargo.toml
:
[dependencies]
hampel = "0.1"
Example
src/main.rs
:
use hampel::Window;
fn main() {
// Window size: 5 (>= 3)
// Initialization value of window: 0.0
// Threshold: Median of the window ±3σ.
let mut filter = Window::<f64, 5>::new(0.0, 3.0);
let input_vals = [0.0; 100]; // <- Containing outliers
let mut filtered_vals = [0.0; 100];
for (i, val) in input_vals.iter().enumerate() {
filtered_vals[i] = filter.update(*val);
}
// filtered_vals <-- Outliers have been removed
}
License
Licensed under either of Apache License, Version 2.0 or MIT License at your option.
Contribution
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be dual licensed as above, without any additional terms or conditions.
Dependencies
~155KB