Machine Learning and Application to Physics Workshop '19

This repository is meant to help MLAP19 participants to set up a work environment for the hands-on sessions of the workshop, as well as donwload some example datasets to be used during these sessions.

It is assumed that there exists a working anaconda3 installation on the target machine.

Clone the repository:

$ git clone https://github.com/nietootein/mlap19.git

Change directory into the cloned repository:

$ cd mlap19

Create a new environment:

$ conda env create -f mlap19_env.yml

Activate the new environment:

$ conda activate mlap19

Verify that the new environment was correctly installed:

$ conda env list

The name of the new environment, mlap19, should show up in the list.

Should you need to update an already existing mlap19 environment with a newer mlap19_env.yml version:

$ conda env update --name mlap19 -f mlap19_env.yml --prune

In case of trouble with the installation please contact Daniel Nieto (d.nieto at ucm dot es) or open an issue here.