Quickly experience all the latest features of SciSharp Machine Learning tools in docker container.
Run from Docker Hub
docker run --name scisharp -it -p 8888:8888 scisharpstack/scisharpcube
This command will pull latest SciSharpCube image and run it.
There is an example of Linear Regression.
Build image from local
Get source code
git clone https://github.com/SciSharp/SciSharpCube cd SciSharpCube
Build docker image
docker build -f ./dockerfiles/cube.dockfile -t scisharpcube .
microsoft/dotnet is not pulled automatically, you should run
docker pull microsoft/dotnet first.
Start a container
docker run --name scisharp -it -p 8888:8888 scisharpcube
Now you can open the Jupyter link printed out in the console in your browser. Congratulations, you are running SciSharp STACK in Jupyter
Tips (not necessary)
If you want to open another shell.
docker exec -it scisharp bash
If you ever exit the container with Control-C you can re-enter it with the following command.
docker start scisharp -i