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  • Results reproducibility

Results reproducibility · Changes

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Update Results reproducibility authored Feb 08, 2021 by Gabriel Wlazłowski's avatar Gabriel Wlazłowski
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Results-reproducibility.md
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......@@ -22,7 +22,9 @@ test_logger.h # user's logger
This provides full information (apart from any external data added by user) required to reproduce your results.
# Good practices
1. For each project use a separate folder, do not mix results from various project in the same files. Use a meaningful name for folders.
2. Use meaningful `outprefix` names.
3. Do not modify output files, except `wtxt` file. This one is designed to store various metadata information, including your comments. `wtxt` file is easy to reproduce in case if you destroy it accidentally, which is not the case of other files. Add your comments/remarks/ect in form of comments starting with `#`.
To learn more about good practices related to results reproducibility issue see:
* [Creating Reproducible Data Science Projects](https://towardsdatascience.com/creating-reproducible-data-science-projects-1fa446369386)
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