mlprimitives/jupyter repository overview

An open source project from Data to AI Lab at MIT.

⁠MLPrimitives Jupyter

This image contains a Jupyter Server with MLPrimitives⁠, MLBlocks⁠ and BTB⁠ installed and ready to get started using them.

⁠Usage

In order to run our docker image, the only requirement is to have Docker⁠ installed in your system.

Installation instructions for any possible system compatible can be found here⁠

⁠Running the Docker Image

Once you have docker installed, all you need to execute to run the image is:

docker --rm -ti -p8888:8888 mlprimitives/jupyter

Afterwards, you simply need to point your browser at http://127.0.0.1:8888⁠ and start running the notebooks!

⁠Notebook Persistence

The previous command does not allow any form of persistence in the notebooks between different executions of the server.

If you want the changes you do to the notebooks to be persistent between multiple sessions, it is recommended to run the docker container as a named daemon that can be started and stopped multiple times.

In order to do this, the first time you execute the server you need to use this command:

docker run --name mlprimitives-jupyter -d -p8888:8888 mlprimitives/jupyter

Once this is executed, the Jupyter Notebook can be stopped with:

docker stop mlprimitives-jupyter

And later on started again with:

docker start mlprimitives-jupyter