Metadata-Version: 2.1
Name: pykeen
Version: 0.0.1
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
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
Requires-Dist: scipy
Requires-Dist: click (==6.7)
Requires-Dist: torchvision (==0.2.1)
Requires-Dist: prompt-toolkit
Requires-Dist: tqdm
Requires-Dist: numpy (==1.14.2); python_version == "3.6"
Requires-Dist: scikit-learn (==0.19.1); python_version == "3.6"
Requires-Dist: torch (==0.4.0); python_version == "3.6"
Requires-Dist: numpy; python_version == "3.7"
Requires-Dist: scikit-learn; python_version == "3.7"
Requires-Dist: torch (==0.4.1); python_version == "3.7"

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


