package.json

{
  "name": "ml-levenberg-marquardt",
  "version": "4.1.3",
  "description": "Curve fitting method in javascript",
  "main": "./lib/index.js",
  "module": "./lib-esm/index.js",
  "types": "./lib/index.d.ts",
  "files": [
    "src",
    "lib",
    "lib-esm"
  ],
  "scripts": {
    "check-types": "tsc --noEmit",
    "clean": "rimraf lib lib-esm",
    "eslint": "eslint src",
    "eslint-fix": "npm run eslint -- --fix",
    "prepack": "npm run tsc",
    "prettier": "prettier --check src",
    "prettier-write": "prettier --write src",
    "test": "npm run test-only && npm run eslint && npm run prettier && npm run check-types",
    "test-only": "jest --coverage",
    "tsc": "npm run clean && npm run tsc-cjs && npm run tsc-esm",
    "tsc-cjs": "tsc --project tsconfig.cjs.json",
    "tsc-esm": "tsc --project tsconfig.esm.json"
  },
  "repository": {
    "type": "git",
    "url": "https://github.com/mljs/levenberg-marquardt.git"
  },
  "keywords": [
    "machine",
    "learning",
    "data",
    "mining",
    "datamining",
    "levenberg",
    "marquardt"
  ],
  "author": "Miguel Asencio <maasencioh@gmail.com>",
  "license": "MIT",
  "bugs": {
    "url": "https://github.com/mljs/levenberg-marquardt/issues"
  },
  "homepage": "https://github.com/mljs/levenberg-marquardt#readme",
  "devDependencies": {
    "@types/jest": "^29.5.0",
    "benchmark": "^2.1.4",
    "cz-conventional-changelog": "^3.3.0",
    "eslint": "^8.38.0",
    "eslint-config-cheminfo-typescript": "^11.3.1",
    "jest": "^29.5.0",
    "jest-matcher-deep-close-to": "^3.0.2",
    "prettier": "^2.8.7",
    "rimraf": "^5.0.0",
    "ts-jest": "^29.1.0",
    "typescript": "^5.0.4"
  },
  "dependencies": {
    "is-any-array": "^2.0.0",
    "ml-matrix": "^6.10.4"
  },
  "config": {
    "commitizen": {
      "path": "./node_modules/cz-conventional-changelog"
    }
  }
}