ml-airpls - npm Package Compare versions

Comparing version 1.0.2 to 1.0.3

lib/index.js

		@@ -365,3 +365,3 @@ 'use strict';
		* @param {number} [options.maxIterations = 100] - Maximal number of iterations if the method does not reach the stop criterion
		* @param {number} [options.factorCriterion = 0.001] - Factor of the sum of absolute value of original data, to compute stop criterion
		* @param {number} [options.tolerance = 0.001] - Factor of the sum of absolute value of original data, to compute stop criterion
		* @param {Array<number>} [options.weights = [1,1,...]] - Initial weights vector, default each point has the same weight
		@@ -377,3 +377,3 @@ * @param {number} [options.lambda = 100] - Factor of weights matrix in -> [I + lambda D'D]z = x
		lambda = 100,
		factorCriterion = 0.001,
		tolerance = 0.001,
		weights = new Array(y.length).fill(1),
		@@ -402,4 +402,3 @@ controlPoints = [],
		let sumNegDifferences = Number.MAX_SAFE_INTEGER;
		let stopCriterion =
		factorCriterion * y.reduce((sum, e) => Math.abs(e) + sum, 0);
		let stopCriterion = tolerance * y.reduce((sum, e) => Math.abs(e) + sum, 0);

		@@ -406,0 +405,0 @@ let { lowerTriangularNonZeros, permutationEncodedArray } = getDeltaMatrix(

package.json

		{
		"name": "ml-airpls",
		"version": "1.0.2",
		"version": "1.0.3",
		"description": "Baseline correction using adaptive iteratively reweighted penalized least",
		@@ -5,0 +5,0 @@ "main": "lib/index.js",

src/index.js

		@@ -11,3 +11,3 @@ import cholesky from './choleskySolver';
		* @param {number} [options.maxIterations = 100] - Maximal number of iterations if the method does not reach the stop criterion
		* @param {number} [options.factorCriterion = 0.001] - Factor of the sum of absolute value of original data, to compute stop criterion
		* @param {number} [options.tolerance = 0.001] - Factor of the sum of absolute value of original data, to compute stop criterion
		* @param {Array<number>} [options.weights = [1,1,...]] - Initial weights vector, default each point has the same weight
		@@ -23,3 +23,3 @@ * @param {number} [options.lambda = 100] - Factor of weights matrix in -> [I + lambda D'D]z = x
		lambda = 100,
		factorCriterion = 0.001,
		tolerance = 0.001,
		weights = new Array(y.length).fill(1),
		@@ -48,4 +48,3 @@ controlPoints = [],
		let sumNegDifferences = Number.MAX_SAFE_INTEGER;
		let stopCriterion =
		factorCriterion * y.reduce((sum, e) => Math.abs(e) + sum, 0);
		let stopCriterion = tolerance * y.reduce((sum, e) => Math.abs(e) + sum, 0);

		@@ -52,0 +51,0 @@ let { lowerTriangularNonZeros, permutationEncodedArray } = getDeltaMatrix(

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