A package for training and evaluating knowledge graph embeddings
Project description
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
PyKEEN can be installed with the following commands:
python3 -m pip install git+https://github.com/SmartDataAnalytics/PyKEEN.git@masteror in editable mode with:
$ 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:
pykeenor alternatively:
python3 -m pykeenthen the command line interface will assist you to configure your experiments.
To start PyKEEN with an existing configuration file, please run the following command:
pykeen -c /path/to/config.jsonor alternatively:
python3 -m pykeen -c /path/to/config.jsonthen the command line interface won’t be called, instead the pipeline will be started immediately.
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