Metadata-Version: 2.1
Name: kgekit
Version: 0.8.1
Summary: knowledge representation tools
Home-page: http://github.com/fantasticfears/kgekit
Author: Erick Guan
Author-email: fantasticfears@gmail.com
License: GPLv2
Description: Knowledge Embedding Kit
        ===
        
        [![PyPI version fury.io](https://badge.fury.io/py/kgekit.svg)](https://pypi.python.org/project/kgekit/)
        [![PyPI license](https://img.shields.io/pypi/l/kgekit.svg)](https://pypi.python.org/project/kgekit/)
        [![Build Status](https://travis-ci.com/fantasticfears/kgekit.svg?branch=master)](https://travis-ci.com/fantasticfears/kgekit)
        
        This library provides helpful functions and sampling for KGE learning.
        The data processing part is strictly research-oriented.
        
        Requirements:
        
        - C++17 compilers
        
        # Features
        
        - Eficient data representation in C++ and interoperability in Python by pybind11.
        - Triple data IO, processing and extraction.
        - Various sampling methods.
        
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python :: 3
Description-Content-Type: text/markdown
