A code example walkthrough of detecting data drift and creating a custom method for drift detection using Evidently.
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Video 8. Data and prediction drift in ML [CODE PRACTICE], by Emeli Dral
In this video, we walk you through the code example of detecting data drift and creating a custom method for drift detection using the open-source Evidently Python library.
Want to go straight to code? Here is the example notebook to follow along.
Outline: 00:00 Create a working environment and import libraries 01:33 Overview of the data drift options 04:25 Evaluating share of drifted features 06:40 Detecting column drift 11:47 Set different drift detection method per feature type 12:57 Set individual different drift detection methods per feature 15:34 Custom drift detection method
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