{"package": "gbart", "summary": "A python package to implement Variable Grouping Based Bayesian Additive Regression Tree, associated with ICASSP2020 submitted paper", "pypi_url": "https://pypi.org/project/gbart", "piwheels_url": "https://www.piwheels.org/project/gbart", "releases": {"0.2.1": {"released": "2019-10-26 00:42:01", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.2.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.2.1-py3-none-any.whl", "filehash": "8a3cda10438675cb9f2c9ae2ccaffb66a6b60c86cdc8df9da651e7fab6fc0750", "filesize": 40172, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}, "0.2.0": {"released": "2019-10-23 05:28:24", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.2.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.2.0-py3-none-any.whl", "filehash": "5ab8613fb928cc07a9ebae895698910bb9daa60d71a6ee2639c7492854009b1e", "filesize": 39376, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}, "0.1.0": {"released": "2019-10-14 00:12:31", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.1.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.1.0-py3-none-any.whl", "filehash": "67eebb79df8ce6492d5291645f7e11e6e1254e512e0a2a557668ba2e30b406f7", "filesize": 38921, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}, "0.0.3": {"released": "2019-10-14 00:07:12", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.0.3-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.0.3-py3-none-any.whl", "filehash": "397c3d16186c6e6097aa3b09e99cd0b21ccb5f1c8c9a8d18d0de4de7dbde56ec", "filesize": 38926, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}, "0.0.2": {"released": "2019-09-23 22:09:20", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.0.2-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.0.2-py3-none-any.whl", "filehash": "c7e6146d440b68e131d45edc4a719ed4ecee7496bb43df91ba13604e277ef630", "filesize": 38942, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}, "0.0.1": {"released": "2019-09-23 20:58:32", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"gbart-0.0.1-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/gbart/gbart-0.0.1-py3-none-any.whl", "filehash": "4736c2394d99131828209aa38c8e0df6b39ddbec3627222f0cede09500580bd7", "filesize": 7207, "builder_abi": "cp37m", "file_abi_tag": "none", "platform": "any", "requires_python": ">=3.6", "apt_dependencies": [], "pip_dependencies": ["joblib", "matplotlib", "numpy", "pandas", "scipy", "seaborn", "sklearn", "statsmodels"]}}}}}