{"@context":"https://w3id.org/codemeta/3.0","@type":"SoftwareSourceCode","identifier":"pkg:spack/py-scikit-optimize","name":"py-scikit-optimize","description":"Scikit-Optimize, or skopt, is a simple and efficient library to minimize\n(very) expensive and noisy black-box functions. It implements several\nmethods for sequential model-based optimization. skopt aims to be\naccessible and easy to use in many contexts. The library is built on top\nof NumPy, SciPy and Scikit-Learn.\n","version":"0.5.2","softwareVersion":"0.5.2","license":"https://spdx.org/licenses/Other","codeRepository":"https://scikit-optimize.readthedocs.io","url":"https://scikit-optimize.readthedocs.io","maintainer":[{"@type":"Person","name":"liuyangzhuan","url":"https://github.com/liuyangzhuan"}],"author":[{"@type":"Person","name":"liuyangzhuan","url":"https://github.com/liuyangzhuan"}],"copyrightHolder":[{"@type":"Person","name":"liuyangzhuan","url":"https://github.com/liuyangzhuan"}],"dateCreated":"2022-04-05","dateModified":"2022-04-05","datePublished":"2022-04-05","copyrightYear":2022,"applicationCategory":"spack","runtimePlatform":"spack","sameAs":["https://packages.spack.io/package.html?name=py-scikit-optimize"]}