| Name | etiq-spark JSON |
| Version |
1.5.1
JSON |
| download |
| home_page | |
| Summary | This is an optional, extension to the etiq library to provide spark datasets |
| upload_time | 2023-12-01 10:03:29 |
| maintainer | |
| docs_url | None |
| author | |
| requires_python | <3.12,>=3.7 |
| license | |
| keywords |
ai
bias
etiq
fairness
|
| VCS |
|
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# 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)":
https://creativecommons.org/licenses/by-nd/4.0/
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"description": "# ETIQ AI\n\nEtiq helps companies test and monitor ML models. For data science & ML teams,\nEtiq tests ML algorithms, identifying issues and preventing accuracy loss in\nboth building & production stages. Etiq helps identify the following issue\ntypes in the dataset/model: Bias, Data Leakage, Accuracy Issues, Drift, across\nboth pre-production and production stages. Additionally, Etiq helps identify\nwhich segments are impacted by each issue type and provides modular tests\nthat you can plug at different points in your pipeline.\n\n## Getting Started\n\nTo get started with this package, view our quickstart guide at\nhttps://docs.etiq.ai/\n\n\n## Licence\n\nThis library is distributed under the Creative Commons \"Attribution-NoDerivatives 4.0\nInternational (CC BY-ND 4.0)\":\n\nhttps://creativecommons.org/licenses/by-nd/4.0/\n",
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