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Redox OS Machine Learning Integration Environment

This repository contains the necessary files to set up a development environment for the integration of machine learning into Redox OS using Python, Rust, Prolog, and C. This environment is specifically designed for the development of OpenCog Hyperon.

Set up

To set up the environment, run the following command in the terminal:

pip3 install -r requirements.txt && cargo install hyperon

This will install all the necessary dependencies and packages for the environment.

Get started

To start the development environment, run the following command in the terminal:

python3 app.py

This will run the sample code provided in app.py and allow you to start developing and testing your own code.

Additional files

This repository also includes the following files:

  • requirements.txt: contains a list of required Python packages for the environment
  • .vscode/launch.json: contains configuration settings for debugging in Visual Studio Code
  • Cargo.toml: contains configuration settings for the Rust package manager
  • src/main.rs: contains a sample Rust code for the Hyperon library
  • src/lib.rs: contains a sample Rust code for the Hyperon library
  • src/test.rs: contains a sample Rust code for testing the Hyperon library

Feel free to modify these files as needed for your development process.

License

This repository is licensed under the MIT License. See the LICENSE file for more information.

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