Configuring Runner Monitor

Learn how to configure a custom monitor in an AutoML pipeline.

Sometimes we need to apply custom monitoring to our AutoML process and log very specific events in the way that is most suitable to us. For example, the default logger is way too verbose and tracks all events. However, we might want to only track very specific events.

We'll cover the usage of custom monitors in this lesson. We'll do so with the help of the following playground, which represents a project with an AutoML pipeline to train a price prediction model.

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