ε

Getting Started Guide

Learn how to install, configure, and begin using ε's platform for machine learning.

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Step-by-Step Setup

Install ε Core

Use pip to install the latest version of ε's core library and dependencies.

pip install epsilon

Configure Environment

Setup Python virtual environment and configure environment variables.

python -m venv env

Create Your Project

Initialize a new ε project directory with a base ML configuration.

epsilon init my_project

Run the Example

Execute the provided sample script using the ε CLI.

python my_project/train.py

Related Tutorials

Quickstart Guide

Walkthrough of setting up ε in under 10 minutes with sample project structures.

Read Tutorial

Configuration Reference

Learn about ε's configuration file format and available parameters.

Read Guide

Ready to Build?

Start exploring ε's capabilities and become part of the machine learning revolution today.

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