ETIQ AI
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.
Getting Started
To get started with this package, view our quickstart guide at https://docs.etiq.ai/
Licence
This library is distributed under the Creative Commons "Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0)":
2 maintainers
Metadata
2 maintainers
Release files for etiq-spark 1.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
Total release size: 9.6 MB
Release files / etiq_spark-1.6.0-cp312-cp312-win_amd64.whl
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Release files / etiq_spark-1.6.0-cp312-cp312-manylinux1_x86_64.whl
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Release files / etiq_spark-1.6.0-cp312-cp312-macosx_11_0_universal2.whl
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Release files / etiq_spark-1.6.0-cp312-cp312-macosx_10_9_universal2.whl
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Release files / etiq_spark-1.6.0-cp311-cp311-win_amd64.whl
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Release files / etiq_spark-1.6.0-cp311-cp311-manylinux1_x86_64.whl
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Release files / etiq_spark-1.6.0-cp39-cp39-manylinux1_x86_64.whl
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Release files / etiq_spark-1.6.0-cp39-cp39-macosx_12_0_x86_64.whl
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Release files / etiq_spark-1.6.0-cp38-cp38-win_amd64.whl
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Release files / etiq_spark-1.6.0-cp38-cp38-manylinux1_x86_64.whl
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Release files / etiq_spark-1.6.0-cp38-cp38-macosx_12_0_x86_64.whl
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