Running remote code in GitHub locally

Now, let's see how we run remote code from a GitHub repository on a local execution environment. This allows us to precisely run a specific version that has been checked into the GitHub repository using the commit hash. Let's use the same example as before by running a single download_data step of the DL pipeline that we have been using in this chapter. In the command line prompt, run the following command:

mlflow run https://github.com/PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow#chapter05 -v 26119e984e52dadd04b99e6f7e95f8dda8b59238  --experiment-name='dl_model_chapter05' -P pipeline_steps='download_data'

Notice the difference between this command line and the one in the previous section. Instead of a dot to refer to a local copy of the code, we are pointing to a remote GitHub repository (https://github.com/PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow) and the folder...