Installation

We recommend Python 3.10+ with PyTorch 1.4.0+ and transformers v4.41.0+ .

Install with pip

OntoLearner is available on the Python Package Index at pypi.org for installation.

pip install -U ontolearner

The following pip install will install the latest version of OntoLearner from the main branch of the OntoLearner at GitHub using pip.

pip install git+https://github.com/sciknoworg/OntoLearner.git

Install from Source

You can install OntoLearner directly from source to take advantage of the bleeding edge main branch for development.

  1. Clone the repository:

git clone https://github.com/sciknoworg/OntoLearner.git
cd OntoLearner

  1. (Optional but recommended) Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

  1. Install dependencies and the library

pip install -e .

Hint

The -e flag installs the package in editable mode, which is ideal for development—changes in the code reflect immediately.

Install PyTorch with CUDA support

To use a GPU/CUDA for learners, you must install PyTorch with CUDA support. Follow PyTorch - Get Started for installation steps.