Metadata-Version: 2.1
Name: PyTcgpr
Version: 1.3.0
Summary: Tree-Classifier for gaussian process model (TCGPR) is a data preprocessing algorithm based on the Gaussian correlation among data.
Home-page: https://github.com/Bin-Cao/TCGPR
Author: CaoBin
Author-email: bcao@shu.edu.com
Maintainer: CaoBin
Maintainer-email: 17734910905@163.com
License: MIT License
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Topic :: Software Development :: Build Tools
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: scipy
Requires-Dist: sklearn
Requires-Dist: pandas

Algorithm name: Tree classifier for gaussian process regression
Tasks : Dataset Partition & Outliers Identification & Features Selection
Author: Bin CAO <binjacobcao@gmail.com> 
Guangzhou Municipal Key Laboratory of Materials Informatics, Advanced Materials Thrust,
Hong Kong University of Science and Technology (Guangzhou), Guangzhou 511400, Guangdong, China

Please feel free to open issues in the Github :
https://github.com/Bin-Cao/TCGPR
or 
contact Mr.Bin Cao (bcao@shu.edu.cn)
in case of any problems/comments/suggestions in using the code.