pykeen 0.0.17

A package for training and evaluating knowledge graph embeddings

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.

Installation

pykeen can be installed with the following command:

pip install pykeen

Alternatively, it can be installed from the source for development with:

$ git clone https://github.com/SmartDataAnalytics/PyKEEN.git pykeen
$ cd pykeen
$ pip install -e .

Usage

Code examples can be found in the notebooks directory.

CLI Usage

To start the PyKEEN CLI, run the following command:

pykeen

then the command line interface will assist you to configure your experiments.

To start PyKEEN with an existing configuration file, run:

pykeen -c /path/to/config.json

then the command line interface won’t be called, instead the pipeline will be started immediately.

Starting the Prediction Pipeline

To make prediction based on a trained model, run:

pykeen-predict -m /path/to/model/directory -d /path/to/data/directory

Summarize the Results of All Experiments

To summarize the results of all experiments, run:

pykeen-summarize -d /path/to/experiments/directory -o /path/to/output/file.csv