nodejs-decision-tree/package.json at master · serendipious/nodejs-decision-tree · GitHub

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{
  "name": "decision-tree",
  "description": "NodeJS implementation of decision tree, random forest, and XGBoost algorithms with comprehensive performance testing (Node.js 20+)",
  "version": "1.1.0",
  "author": "Ankit Kuwadekar",
  "repository": {
    "type": "git",
    "url": "git://github.com/serendipious/nodejs-decision-tree.git"
  },
  "main": "./lib/decision-tree.js",
  "types": "./lib/decision-tree.d.ts",
  "module": "./lib/decision-tree.js",
  "type": "module",
  "exports": {
    ".": {
      "import": "./lib/decision-tree.js",
      "require": "./lib/decision-tree.js",
      "types": "./lib/decision-tree.d.ts"
    },
    "./xgboost": {
      "import": "./lib/xgboost.js",
      "require": "./lib/xgboost.js",
      "types": "./lib/xgboost.d.ts"
    },
    "./xgboost": {
      "import": "./lib/random-forest.js",
      "require": "./lib/random-forest.js",
      "types": "./lib/random-forest.d.ts"
    },
    "./package.json": "./package.json"
  },
  "files": [
    "lib",
    "src"
  ],
  "dependencies": {
    "lodash": "^4.17.21"
  },
  "devDependencies": {
    "@types/lodash": "^4.17.20",
    "@types/mocha": "^10.0.10",
    "@types/node": "^24.3.0",
    "cross-env": "^10.0.0",
    "esm": "^3.2.25",
    "mocha": "^11.7.1",
    "ts-node": "^10.9.2",
    "typescript": "^5.9.2"
  },
  "scripts": {
    "build": "tsc",
    "build:watch": "tsc --watch",
    "test": "npm run build && cross-env NODE_PATH=. mocha --require ts-node/register -R spec tst/*.ts",
    "test:bun": "bun run build && NODE_PATH=. npx mocha --require ts-node/register -R spec tst/*.ts",
    "test:watch": "npm run build && NODE_PATH=. ./node_modules/.bin/mocha --require ts-node/register -R spec --watch tst/*.ts",
    "clean": "rm -rf lib",
    "prepublishOnly": "npm run clean && npm run build",
    "example:js": "node examples/javascript-usage.js",
    "example:ts": "ts-node examples/typescript-usage.ts",
    "example:rf-js": "node examples/random-forest-usage.js",
    "example:rf-ts": "ts-node examples/random-forest-usage.ts",
    "example:xgb-js": "node examples/xgboost-usage.js",
    "example:xgb-ts": "ts-node examples/xgboost-usage.ts"
  },
  "engines": {
    "node": ">= 20.x"
  },
  "keywords": [
    "decision",
    "tree",
    "classifier",
    "classification",
    "machine",
    "learning",
    "decision tree",
    "random forest",
    "xgboost",
    "gradient boosting",
    "ensemble learning",
    "machine learning",
    "ID3",
    "performance testing",
    "typescript"
  ],
  "license": "MIT"
}