{"package": "mahanalobis-detection-outliers", "summary": " Detection of outlier with mahanalobis distance which have access of the parameters (means and precision matrice) with algo GMM or Bayesian GMM provide by sklearn", "pypi_url": "https://pypi.org/project/mahanalobis-detection-outliers", "piwheels_url": "https://www.piwheels.org/project/mahanalobis-detection-outliers", "releases": {"1.0": {"released": "2020-07-27 20:58:52", "prerelease": false, "yanked": false, "skip_reason": "", "files": {"Mahanalobis_Detection_Outliers-1.0-py3-none-any.whl": {"file_url": "https://archive1.piwheels.org/simple/mahanalobis-detection-outliers/Mahanalobis_Detection_Outliers-1.0-py3-none-any.whl", "filehash": "a527b8fae1dbb96c347b6177a11ca47d9103e16a6a02617d24fdb561c3c14418", "filesize": 3924, "builder_abi": "cp35m", "file_abi_tag": "none", "platform": "any", "requires_python": "", "apt_dependencies": [], "pip_dependencies": ["pandas", "scikit-learn", "sklearn"]}}}}}