build-ml

What problem does it solve?

This Skill streamlines the process of building Docker images for various Machine Learning server components, ensuring consistent and reproducible environments.

Core Features & Use Cases

• Containerization: Creates Docker images for different ML models and orchestrators.
• Customizable Builds: Supports options for cache usage, pushing to registries, and CPU-only builds.
• Use Case: A data scientist needs to deploy a new reinforcement learning model. They can use this skill to quickly build the necessary Docker container, test it locally, and then push it to a container registry for deployment.

Quick Start

Build the Docker container for the finrl model without using the build cache.