Technical requirements

The following technical requirements are needed for completing the learning in this chapter:

• The code in this chapter can be found at the following GitHub URL: https://github.com/PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow/tree/main/chapter05.
• Installation of the Databricks command-line interface (CLI) tool to access the Databricks platform remote execution of DL pipelines: https://github.com/databricks/databricks-cli.
• Access to a Databricks instance (must be the Enterprise version, as the Community version does not support remote execution) for learning how to run DL pipelines remotely on a cluster in Databricks.
• A full-fledged MLflow tracking server when running locally. This MLflow tracking server setup is the same as in previous chapters.