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Vibe ML Testbed Setup Instructions

This document outlines the steps to set up and run the Vibe ML Testbed project.

Prerequisites

  • Python 3.8 or higher
  • Poetry (for dependency management)

Setup

  1. Clone the repository:

    git clone https://github.com/marfago/VibeMLTestbed.git
    cd VibeMLTestbed
  2. Install dependencies using Poetry:

    poetry install

Running the Project

To run the main training script, use the following command:

poetry run python src/main.py --config config.yaml

You can specify a different configuration file if needed.

Running Tests

To run the test suite and check for code coverage, use the following command:

poetry run pytest tests/ --cov=src

This will execute all tests in the tests/ directory and generate a coverage report.

Cleaning Up

To remove the generated data and cache directories, you can use the following commands:

rm -rf data/
rm -rf .pytest_cache/