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Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

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Main changes: - add DataIntegrityNullValuesMetrics metric - add test TestNumberOfDifferentNulls - add test TestNumberOfNullValues Aux: - some small style fixes

Add a method for test generation for all columns/nums features only/cat features only/features only cases Usage examples are in added notebook

Hi, thanks for the great library! I was wondering whether it's possible to visualize JSON profiles using the reports layout. Basically, what I'd like to do is logging the JSON...

KS test is recommended to be applied for continuous data but for discrete is KS advisable over chisquare? The following evidently example provided in tutorials is applying ks test on...

question

Hi, I'm testing evidently with light gbm binary classifier and getting the following error: ValueError: Found array with 0 sample(s) (shape=(0, 2)) while a minimum of 1 is required on...

bug

Thank you for this nice project. I was wondering if there is going to be any integration with spark data frames or big data with your work. Really sorry if...

enhancement

I've been trying to find out why the html with target drift dashboard always seems to crash. Till now I've figured out that it works only when my data is...

bug

In the Stop the Examples Section Please include this docker-compose -f ./examples/integrations/grafana_monitoring_service/docker-compose.yml down

Submitting a pull request to add a dash to the README.md under the grafana integration examples as well as the `run_example.py`. There is a dash that is needed between `docker`...