Getting started with the experiments module

To get started with the technical modules, you will need to get started with the environment prepared for this chapter in the following folder: https://github.com/PacktPublishing/Machine-Learning-Engineering-with-MLflow/tree/master/Chapter04

You should be able, at this stage, to execute the make command to build up your workbench with the dependencies needed to follow along with this chapter. You need next to type the following command to move to the right directory:

$ cd Chapter04/gradflow/

To start the environment, you need to run the following command:

$ make

The entry point to start managing experimentation in MLflow is the experiments interface illustrated in Figure 4.1:

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Figure 4.1 – The Experiments interface in MLflow

On the left pane (1), you can manage and create experiments, and on the right (2), you can query details of a specific...