Configure hyperparameters from the CLI¶
Why use a CLI¶
When running deep learning experiments, there are a couple of good practices that are recommended to follow:
Separate configuration from source code
Guarantee reproducibility of experiments
Implementing a command line interface (CLI) makes it possible to execute an experiment from a shell terminal. By having a CLI, there is a clear separation between the Python source code and what hyperparameters are used for a particular experiment. If the CLI corresponds to a stable version of the code, reproducing an experiment can be achieved by installing the same version of the code plus dependencies and running with the same configuration (CLI arguments).
