.zenodo.json

{
    "title": "holgern/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": "ULiège",
        "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": "http://scikit-optimize.readthedocs.io/",
        "relation": "documents",
        "scheme": "url"
      }
    ],
    "upload_type": "software"
  }