Installation Guide

This guide provides step-by-step instructions on how to install the SparkKG-ML library. SparkKG-ML can be installed using pip or by installing from the source code.

Installation via pip:

To install SparkKG-ML using pip, follow these steps:

1. Open a terminal or command prompt.

2. Run the following command to install the latest stable version of SparkKG-ML:

   pip install sparkkgml
   

   This will download and install SparkKG-ML and its dependencies.

3. Once the installation is complete, you can import SparkKG-ML into your Python projects and start using it for machine learning on semantic web and knowledge graph data.

Installation from source:

To install SparkKG-ML from the source code, follow these steps:

1. Clone the SparkKG-ML repository from GitHub using the following command:

   git clone https://github.com/IDIASLab/SparkKG-ML
   

   This will create a local copy of the SparkKG-ML source code on your machine.

2. Change into the SparkKG-ML directory:

   cd sparkkgml
   

3. (Optional) If you want to install a specific release or branch, use the following command:

   git checkout release-1.0
   

   Replace release-1.0 with the desired release or branch name.

4. Run the following command to install sparkRDFx and its dependencies:

   pip install .
   

   This will install SparkKG-ML using the source code in the current directory.

5. Once the installation is complete, you can import SparkKG-ML into your Python projects and start using it for machine learning on semantic web and knowledge graph data.

Congratulations! You have successfully installed the SparkKG-ML library. You are now ready to explore the capabilities of SparkKG-ML and leverage its machine learning functionalities.

For more details on how to use SparkKG-ML, please refer to the documentation.