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In the interest of having the risk index be something that can be trained based on scientific evaluation of open source communities, it would be better if these values were configurable rather than being hard-coded.
The text was updated successfully, but these errors were encountered:
Issue #40 may be a way to implement this - thoughts?
We expressly didn't using training algorithms because there's no "truth" value to train against. If there is such a dataset, I'd love to know about it.
Currently the risk index is computed with point values for code features hard coded into the script:
https://github.com/linuxfoundation/cii-census/blob/master/oss_package_analysis.py#L313
In the interest of having the risk index be something that can be trained based on scientific evaluation of open source communities, it would be better if these values were configurable rather than being hard-coded.
The text was updated successfully, but these errors were encountered: