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Published July 9, 2020 | Version 2.0.2
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pytest-cases: a Python package for reproducible AI results (among others)

Authors/Creators

  • 1. Schneider Electric

Description

`pytest-cases` is a Python package leveraging the widely popular `pytest` library (Krekel et al., 2004) to design tests and benchmarks where test data, tested code, and evaluation protocols are strictly separated. With `pytest-cases` it has never been so easy for researchers to create reproducible results tables !

The API for `pytest-cases` is as minimal as possible, so that each concept (test data, algorithms candidates, evaluation protocols) is a readable python function ; this is in line with the design philosophy of `pytest` itself.

Files

smarie/python-pytest-cases-2.0.2.zip

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