ml-gsd - npm Package Compare versions

Comparing version 6.1.1 to 6.1.2

CHANGELOG.md

		# Changelog

		### [6.1.2](https://www.github.com/mljs/global-spectral-deconvolution/compare/v6.1.1...v6.1.2) (2020-11-18)


		### Bug Fixes

		* method name in README ([cb0e563](https://www.github.com/mljs/global-spectral-deconvolution/commit/cb0e563b5eeaee233004fdcd87882b470654bd99))

		### [6.1.1](https://www.github.com/mljs/global-spectral-deconvolution/compare/v6.1.0...v6.1.1) (2020-11-14)
		@@ -4,0 +11,0 @@

lib/index.js

		@@ -363,3 +363,3 @@ 'use strict';
		* @param {object} [options.optimization = {}] - it's specify the kind and options of the algorithm use to optimize parameters.
		* @param {object} [options.optimization.kind = 'lm'] - kind of algorithm. By default it's levenberg-marquardt.
		* @param {string} [options.optimization.kind = 'lm'] - kind of algorithm. By default it's levenberg-marquardt.
		* @param {object} [options.optimization.options = {}] - options for the specific kind of algorithm.
		@@ -405,2 +405,3 @@ */
		optPeaks[j].index = peaks.index;
		optPeaks[j].group = i;
		result.push(optPeaks[j]);
		@@ -427,2 +428,3 @@ }
		optPeaks[0].index = peaks.index;
		optPeaks[0].group = i;
		result.push(optPeaks[0]);
		@@ -429,0 +431,0 @@ }

package.json

		{
		"name": "ml-gsd",
		"version": "6.1.1",
		"version": "6.1.2",
		"description": "Global Spectra Deconvolution",
		@@ -58,6 +58,6 @@ "main": "lib/index.js",
		"cheminfo-build": "^1.1.8",
		"eslint": "^7.12.1",
		"eslint": "^7.13.0",
		"eslint-config-cheminfo": "^5.2.2",
		"eslint-plugin-import": "^2.22.1",
		"eslint-plugin-jest": "^24.1.0",
		"eslint-plugin-jest": "^24.1.3",
		"eslint-plugin-prettier": "^3.1.4",
		@@ -70,3 +70,3 @@ "esm": "^3.2.25",
		"prettier": "^2.1.2",
		"rollup": "^2.33.1",
		"rollup": "^2.33.3",
		"spectrum-generator": "^4.4.0",
		@@ -78,4 +78,4 @@ "xy-parser": "^3.0.0"
		"ml-spectra-fitting": "^0.7.1",
		"ml-peak-shape-generator": "^0.10.0"
		"ml-peak-shape-generator": "^0.10.2"
		}
		}

README.md

		@@ -11,3 +11,3 @@ # global-spectral-deconvolution

		The second algorithm (`optimize`) will optimize the width as a FWHM to match the original peak. After optimization the width with therefore be always FWHM whichever is the function used.
		The second algorithm (`optimizePeaks`) will optimize the width as a FWHM to match the original peak. After optimization the width with therefore be always FWHM whichever is the function used.

		@@ -14,0 +14,0 @@ ## [API documentation](http://mljs.github.io/global-spectral-deconvolution/)

src/post/optimizePeaks.js

		@@ -14,3 +14,3 @@ import { optimize } from 'ml-spectra-fitting';
		* @param {object} [options.optimization = {}] - it's specify the kind and options of the algorithm use to optimize parameters.
		* @param {object} [options.optimization.kind = 'lm'] - kind of algorithm. By default it's levenberg-marquardt.
		* @param {string} [options.optimization.kind = 'lm'] - kind of algorithm. By default it's levenberg-marquardt.
		* @param {object} [options.optimization.options = {}] - options for the specific kind of algorithm.
		@@ -56,2 +56,3 @@ */
		optPeaks[j].index = peaks.index;
		optPeaks[j].group = i;
		result.push(optPeaks[j]);
		@@ -78,2 +79,3 @@ }
		optPeaks[0].index = peaks.index;
		optPeaks[0].group = i;
		result.push(optPeaks[0]);
		@@ -80,0 +82,0 @@ }

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