ml_observability_course
ml_observability_course copied to clipboard
evidentlyai
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.
Reduce code duplication by making the test preset a parameter _Note_: There's no need to explicitly specify SequentialTaskRunner; the code is written in a way that will make it run...
added an additional function `handle_test_suite_results()` which check the `try` block and saves the results in HTML across the three functions.
fixed typo in run_data_stability_test_suite in module5/prefect_sequential_checks/sequential_checks.py `TestSuite(tests=[DataQualityTestPreset()])` --> `TestSuite(tests=[DataStabilityTestPreset()])`
It is very tiresome to see those pages at night and I can help push a PR that has a button to switch between dark mode and light mode.
Metadata
Owner
Metadata
Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in production.