A code example walkthrough of logging the results of data drift tests implemented with Evidently to Mlflow and viewing the results in the MLflow interface.
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Video 8. Log data drift test results to MLflow [CODE PRACTICE], by Emeli Dral
In this video, we show how to log the results of data drift tests implemented with Evidently to Mlflow and view the results in the MLflow interface.
Want to go straight to code? Here is the code example to follow along.
Outline: 00:00 Introduction 00:50 Start creating an MLflow script 01:48 Set up the database and preview the MLflow UI 03:10 Writing the Python script: overview and imports 04:24 Writing the Python script: set experiments 08:03 Writing the Python script: log parameters and reports 10:15 Run the script and view the results 13:30 Run a new experiment to log HTML reports 16:27 Next module focus
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