.zenodo.json

{
  "license": "mit",
  "title": "OptuML: Hyperparameter Optimization for Multiple Machine Learning Algorithms using Optuna",
  "version": "0-1-1",
  "upload_type": "software",
  "publication_date": "2024-09-21",
  "language": "eng",
  "description": "<p><b>OptuML</b> (for Optuna and ML) is a Python module that provides hyperparameter optimization for several machine learning algorithms using the Optuna framework. The module supports a variety of algorithms and allows easy hyperparameter tuning through a scikit-learn-like API.</p>",
  "notes": "This research was funded in part by the National Science Centre in Poland (grant number 2020/39/B/NZ2/03127 to F.S.)",
  "keywords": ["python", "optuna", "machine learning", "hyperparameter optimization", "scikit-learn"],
  "creators": [
    {
      "affiliation": "International Institute of Molecular and Cell Biology in Warsaw",
      "name": "Filip Stefaniak",
      "orcid": "0000-0001-5758-9416"
    }
  ],
  "access_right": "open"
}