{
  "name": "batterymhm",
  "version": "1.0.0",
  "task": "tabular-regression",
  "license": "cc-by-nc-4.0",
  "author": "William T. L. Miller",
  "description": "The Miller Harmonic Method (MHM) — a harmonic-feature descriptor and ensemble architecture for battery state-of-health and materials formation-energy prediction. No trained weights distributed; method patent pending.",
  "repository": "https://huggingface.co/williamTLmiller/batterymhm",
  "package": {
    "install": "pip install huggingface_hub && huggingface-cli download williamTLmiller/batterymhm --local-dir ./batterymhm",
    "wheel": "batterymhm-1.0.0-py3-none-any.whl",
    "sdist": "batterymhm-1.0.0.tar.gz"
  }
}