{
  "name": "sklearn-to-ts",
  "description": "Train sklearn models (MLP, Random Forest, Linear Regression), export weights to JSON, and generate pure TypeScript inference code with zero npm dependencies. Handles the full pipeline: feature engineering, synthetic data generation, model training, weight export, and TypeScript codegen. Runs server-side or client-side in <1ms. Use cases include prediction models for fitness (race times, VO2max, recovery), SaaS (churn, lead scoring), e-commerce (pricing, delivery estimates), and more.",
  "version": "1.0.0",
  "author": {
    "name": "Thomas Meissner",
    "url": "https://github.com/TGKMeissner"
  },
  "homepage": "https://github.com/TGKMeissner/sklearn-to-typescript-inference",
  "repository": "https://github.com/TGKMeissner/sklearn-to-typescript-inference",
  "license": "MIT"
}