ecosystemai/ecosystem-notebooks repository overview

⁠Overview

The ecosystem-notebooks container is an implementation of a many core components that accompany the ecosystem-server and ecosystem-runtime containers. All API's are wrapped in Python for easy access and usage. Examples include experimentation, forecasting, transformer training and inference etc.

⁠Start container

Assign a path on your installation machine to $DATA.

export DATA=/home/notebooks

When the container has started ensure that you create a username [email protected]⁠ and then sign in.

docker run -d -p 8000:8000 -p 8010:8010 \
   --net-alias ecosystem-notebooks --name ecosystem-notebooks \
   -v $DATA/notebooks-users/notebooks/:"/app/Shared Projects" \
   -e OPENAI_API_KEY:key \
   ecosystemai/ecosystem-notebooks:latest