Etiq helps companies test and monitor ML models. For data science & ML teams, Etiq tests ML algorithms, identifying issues and preventing accuracy loss in both building & production stages. Etiq helps identify the following issue types in the dataset/model: Bias, Data Leakage, Accuracy Issues, Drift, across both pre-production and production stages. Additionally, Etiq helps identify which segments are impacted by each issue type and provides modular tests that you can plug at different points in your pipeline.
To get started with this package, view our quickstart guide at https://docs.etiq.ai/
This library is distributed under the Creative Commons "Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)":
FAQs
This is an optional, extension to the etiq library to provide spark datasets
We found that etiq-spark demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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