.zenodo.json

{
  "title": "scikit-optimize/scikit-optimize",
  "description": "Scikit-Optimize, or skopt, is a simple and efficient library to minimize (very) expensive and noisy black-box functions. It implements several methods for sequential model-based optimization. skopt aims to be accessible and easy to use in many contexts.",
  "creators": [
    {
      "affiliation": "Wild Tree Tech",
      "name": "Head, Tim",
      "orcid": "0000-0003-0931-3698"
    },
    {
      "affiliation": "Google Brain",
      "name": "Kumar, Manoj"
    },
    {
      "name": "Nahrstaedt, Holger",
      "orcid": "0000-0002-4796-1082"
    },
    {
      "affiliation": "ULi\u00e8ge",
      "name": "Louppe, Gilles",
      "orcid": "0000-0002-2082-3106"
    },
    {
      "affiliation": "Saarland University",
      "name": "Shcherbatyi, Iaroslav"
    }
  ],
  "keywords": [
    "bayesopt",
    "optimization",
    "scientific-computing",
    "python",
    "machine-learning",
    "hyperparameter",
    "bayesian-optimization"
  ],
  "license": "bsd-3-clause",
  "related_identifiers": [
    {
      "identifier": "https://scikit-optimize.github.io",
      "relation": "documents",
      "scheme": "url"
    }
  ],
  "upload_type": "software"
}