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 development & production stages. Etiq helps identify the following issue types in the dataset/model: Bias, Data Leakage, Data Fingerprinting, 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.
With the release of Etiq 1.6.0 the package is now compatible with Apple Silicon processors. Due to dependencies (xgboost) in the package you may need to install libomp via homebrew
If you haven't already, install homebrew on your computer: https://brew.sh/
Then run the following in your terminal: brew install libomp
To get started with this package, view our quickstart guide at https://docs.etiq.ai/
The current licensing terms are available on this page;
FAQs
ETIQ.ai ML Testing library
We found that etiq demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 3 open source maintainers collaborating on the project.
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