UNPKG

mountainlab

Version:
28 lines (20 loc) 1 kB
The (easiest?) way to get a development version of MLstudy on your local machine is using Docker. I like to run each container in a seperate pane using tmux but you can open a few seperate terminal windows instead if you like. Whether you choose to build your own Images or pull the ones on dockerhub is up to you too. ### Window 1 To pull from dockerhub: `docker pull alexmorley/mlstudy2` To build yourself: ``` git clone git@github.com:magland/mlstudy2.git pushd mlstudy2 docker build -t mlstudy2 . ``` Then: `docker run --net="host" mlstudy2` ### Windows N+1 *TODO* Flesh this out into the actual commnds. Do exactly the same for the other components. The only things that are different are their names. NB: the two lari images are kept at `alexmorley/parent_lari` and `alexmorley/proc_and_lari` respectively. To build a specific dockerfile you need to do `docker build -t tag_name . -f $specific_dockerfile` ### Post set-up Visit localhost:5081 in your browser! (NB Google AUTH won't work)