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ml-airpls

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ml-airpls - npm Package Compare versions

Comparing version
1.0.0
to
1.0.2
+41
ml-airpls.d.ts
declare module 'ml-airpls' {
export interface AirPLSOptions {
/**
* @default 100
*/
maxIterations?: number;
/**
* @default 100
*/
lambda?: number;
/**
* @default 0.001
*/
factorCriterion?: number;
/**
* array of number to weight the baseline. by default all point has the same weight.
*/
weights?: number[],
/**
* array of indexes of points that should have the maximum weight on each iteration.
* @default []
*/
controlPoints?: number[],
/**
* array of indexes of points that should have the maximum weight on each iteration.
* @default []
*/
baseLineZones?: Array<{from: number, to: number}>,
}
export default function airPLS(
x: number[] | Float64Array,
y: number[] | Float64Array,
options?: AirPLSOptions,
): {
corrected: number[] | Float64Array,
baseline: number[] | Float64Array,
iteration: number,
error: number
};
}
import { toBeDeepCloseTo } from 'jest-matcher-deep-close-to';
import airPLS from '../index';
expect.extend({ toBeDeepCloseTo });
let y = [1, 1, 1, 1, 3, 6, 3, 1, 1, 1];
let x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
describe('airPLS test', () => {
it('Small vector to find baseline', () => {
let result = airPLS(x, y);
expect(result.baseline).toBeDeepCloseTo([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 2);
expect(result.corrected).toBeDeepCloseTo([0, 0, 0, 0, 2, 5, 2, 0, 0, 0], 2);
});
});
+4
-6

@@ -5,6 +5,2 @@ 'use strict';

function _interopDefaultLegacy (e) { return e && typeof e === 'object' && 'default' in e ? e : { 'default': e }; }
var cuthillMckee__default = /*#__PURE__*/_interopDefaultLegacy(cuthillMckee);
// Based on https://github.com/scijs/cholesky-solve

@@ -151,2 +147,3 @@

}
function ldlDsolve(

@@ -162,2 +159,3 @@ n /* D is n-by-n, where n >= 0 */,

}
function ldlLTsolve(

@@ -297,3 +295,3 @@ n /* L is n-by-n, where n >= 0 */,

if (d === n) {
return function (b) {
return (b) => {
ldlPerm(n, bp1, b, P);

@@ -360,3 +358,3 @@ ldlLsolve(n, bp1, Lp, Li, Lx);

lowerTriangularNonZeros: matrix,
permutationEncodedArray: cuthillMckee__default['default'](matrix, nbPoints),
permutationEncodedArray: cuthillMckee(matrix, nbPoints),
};

@@ -363,0 +361,0 @@ };

+0
-0

@@ -0,0 +0,0 @@ The MIT License (MIT)

{
"name": "ml-airpls",
"version": "1.0.0",
"version": "1.0.2",
"description": "Baseline correction using adaptive iteratively reweighted penalized least",
"main": "lib/index.js",
"types": "ml-airpls.d.ts",
"module": "src/index.js",
"files": [
"lib",
"src"
"src",
"ml-airpls.d.ts"
],

@@ -16,5 +18,6 @@ "scripts": {

"eslint-fix": "npm run eslint -- --fix",
"test": "npm run test-coverage && npm run eslint",
"test-coverage": "jest --coverage",
"test-only": "jest"
"prettier": "prettier --check src",
"prettier-write": "prettier --write src",
"test": "npm run test-only && npm run eslint && npm run prettier",
"test-only": "jest --coverage"
},

@@ -35,13 +38,10 @@ "repository": {

"homepage": "https://github.com/mljs/airpls#readme",
"jest": {
"testEnvironment": "node"
},
"devDependencies": {
"@babel/plugin-transform-modules-commonjs": "^7.13.8",
"eslint": "^7.22.0",
"eslint-config-cheminfo": "^5.2.3",
"jest": "^26.6.3",
"jest-matcher-deep-close-to": "^2.0.1",
"prettier": "^2.2.1",
"rollup": "^2.42.4"
"@babel/plugin-transform-modules-commonjs": "^7.16.8",
"eslint": "^8.10.0",
"eslint-config-cheminfo": "^8.0.2",
"jest": "^29.5.0",
"jest-matcher-deep-close-to": "^3.0.2",
"prettier": "^2.5.1",
"rollup": "^3.22.0"
},

@@ -48,0 +48,0 @@ "dependencies": {

# airpls
[![NPM version][npm-image]][npm-url]
[![build status][travis-image]][travis-url]
[![Test coverage][codecov-image]][codecov-url]
[![David deps][david-image]][david-url]
[![npm download][download-image]][download-url]

@@ -36,9 +34,5 @@

[npm-url]: https://www.npmjs.com/package/ml-airpls
[travis-image]: https://img.shields.io/travis/mljs/airpls/master.svg?style=flat-square
[travis-url]: https://travis-ci.org/mljs/airpls
[codecov-image]: https://img.shields.io/codecov/c/github/mljs/airpls.svg?style=flat-square
[codecov-url]: https://codecov.io/gh/mljs/airpls
[david-image]: https://img.shields.io/david/mljs/airpls.svg?style=flat-square
[david-url]: https://david-dm.org/mljs/airpls
[download-image]: https://img.shields.io/npm/dm/ml-airpls.svg?style=flat-square
[download-url]: https://www.npmjs.com/package/ml-airpls

@@ -142,2 +142,3 @@ // Based on https://github.com/scijs/cholesky-solve

}
function ldlDsolve(

@@ -153,2 +154,3 @@ n /* D is n-by-n, where n >= 0 */,

}
function ldlLTsolve(

@@ -288,3 +290,3 @@ n /* L is n-by-n, where n >= 0 */,

if (d === n) {
return function (b) {
return (b) => {
ldlPerm(n, bp1, b, P);

@@ -291,0 +293,0 @@ ldlLsolve(n, bp1, Lp, Li, Lx);

@@ -1,2 +0,2 @@

import Cholesky from './choleskySolver';
import cholesky from './choleskySolver';
import { updateSystem, getDeltaMatrix, getCloseIndex } from './utils';

@@ -18,3 +18,3 @@

*/
function airPLS(x, y, options = {}) {
export default function airPLS(x, y, options = {}) {
let {

@@ -66,3 +66,3 @@ maxIterations = 100,

let cho = Cholesky(leftHandSide, nbPoints, permutationEncodedArray);
let cho = cholesky(leftHandSide, nbPoints, permutationEncodedArray);

@@ -105,3 +105,1 @@ baseline = cho(rightHandSide);

}
export { airPLS as default };

@@ -0,0 +0,0 @@ import cuthillMckee from 'cuthill-mckee';

## [1.0.0](https://github.com/mljs/airpls/compare/v0.2.0...v1.0.0) (2021-03-24)
# [0.2.0](https://github.com/mljs/airpls/compare/v0.0.2...v0.2.0) (2020-02-05)
<a name="0.0.2"></a>
## 0.0.2 (2018-11-03)
import { toBeDeepCloseTo } from 'jest-matcher-deep-close-to';
import airPLS from '../index';
expect.extend({ toBeDeepCloseTo });
let y = [1, 1, 1, 1, 3, 6, 3, 1, 1, 1];
let x = [0, 1, 2, 3, 4, 5, 6, 7, 8, 9];
describe('airPLS test', () => {
it('Small vector to find baseline', () => {
let result = airPLS(x, y);
expect(result.baseline).toBeDeepCloseTo([1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 2);
expect(result.corrected).toBeDeepCloseTo([0, 0, 0, 0, 2, 5, 2, 0, 0, 0], 2);
});
});