Baseline correction using adaptive iteratively reweighted penalized least
Baseline correction using adaptive iteratively reweighted penalized least squares
It is an javascript implementation of airpls using cholesky decomposition and reverse Cuthill-Mckee method for reducing the bandwidth of sparse linear systems, obtaining a fast baseline fitter.
$ npm install ml-airpls
const airpls = require('ml-airpls');
let y = [1, 1, 1, 1, 3, 6, 3, 1, 1, 1];
let x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
var {baseline, corrected, iteration, error} = airpls(x, y);
FAQs
Baseline correction using adaptive iteratively reweighted penalized least
The npm package ml-airpls receives a total of 769 weekly downloads. As such, ml-airpls popularity was classified as not popular.
We found that ml-airpls demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 4 open source maintainers collaborating on the project.
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