metadata.json 1.7 KB
{"classifiers": ["Development Status :: 3 - Alpha", "Intended Audience :: Education", "Intended Audience :: Science/Research", "Intended Audience :: Developers", "Environment :: Console", "License :: OSI Approved :: BSD License", "Operating System :: MacOS :: MacOS X", "Operating System :: Microsoft :: Windows", "Operating System :: POSIX", "Operating System :: Unix", "Programming Language :: Python", "Programming Language :: Python :: 2", "Programming Language :: Python :: 3", "Topic :: Scientific/Engineering", "Topic :: Software Development"], "extensions": {"python.commands": {"wrap_console": {"hyperopt-mongo-worker": "hyperopt.mongoexp:main"}}, "python.details": {"contacts": [{"email": "james.bergstra@gmail.com", "name": "James Bergstra", "role": "author"}], "document_names": {"description": "DESCRIPTION.rst"}, "project_urls": {"Home": "http://hyperopt.github.com/hyperopt/"}}, "python.exports": {"console_scripts": {"hyperopt-mongo-worker": "hyperopt.mongoexp:main"}}}, "extras": ["ATPE", "MongoTrials", "SparkTrials", "dev"], "generator": "bdist_wheel (0.30.0)", "keywords": ["Bayesian", "optimization", "hyperparameter", "model", "selection"], "license": "BSD", "metadata_version": "2.0", "name": "hyperopt", "platform": "Linux", "run_requires": [{"extra": "dev", "requires": ["black", "nose", "pre-commit", "pytest"]}, {"requires": ["cloudpickle", "future", "networkx (==2.2)", "numpy", "scipy", "six", "tqdm"]}, {"extra": "ATPE", "requires": ["lightgbm", "scikit-learn"]}, {"extra": "MongoTrials", "requires": ["pymongo"]}, {"extra": "SparkTrials", "requires": ["pyspark"]}], "summary": "Distributed Asynchronous Hyperparameter Optimization", "test_requires": [{"requires": ["nose", "pytest"]}], "version": "0.2.3"}