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Our examples are hosted in a separate repository so that they can be updated independently.

  • data science benchmark demonstrates how pytest can be used as a benchmarking engine thanks to pytest-cases and pytest-harvest, to compare the performances of several regression algorithms on several datasets and produce various reports (plots, csv table...).