Metadata-Version: 1.2
Name: pykeen
Version: 0.0.3
Summary: A package for training and evaluating knowledge graph embeddings
Home-page: https://github.com/SmartDataAnalytics/kg_embeddings_pipeline.git
Author: Mehdi Ali
Author-email: mehdi.ali@cs.uni-bonn.de
Maintainer: Mehdi Ali
Maintainer-email: mehdi.ali@cs.uni-bonn.de
License: MIT License
Description: PyKEEN |build|
        ==============
        PyKEEN (Python KnowlEdge EmbeddiNgs) is a package for training and evaluating knowledge graph embeddings.
        
        The system has a modular architecture, and can be configured by the user through the command line interface.
        
        **Currently, the framework is under heavy development.**
        
        Installation
        ------------
        1. ``PyKEEN`` can be installed with the following commands:
        
        .. code-block:: sh
        
            python3 -m pip install git+https://github.com/SmartDataAnalytics/PyKEEN.git@master
        
        2. or in editable mode with:
        
        .. code-block:: sh
        
            $ git clone https://github.com/SmartDataAnalytics/PyKEEN.git pykeen
            $ cd pykeen
            $ python3 -m pip install -e .
        
        How to Use
        ----------
        To start PyKEEN, please run the following command:
        
        .. code-block:: sh
        
            pykeen
        
        or alternatively:
        
        .. code-block:: python
        
            python3 -m pykeen
        
        then the command line interface will assist you to configure your experiments.
        
        .. |build| image:: https://travis-ci.org/SmartDataAnalytics/PyKEEN.svg?branch=master
            :target: https://travis-ci.org/SmartDataAnalytics/PyKEEN
        
Keywords: Knowledge Graph Embeddings,Machine Learning,Data Mining,Linked Data
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3.6
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
