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R-like summary of LogisticRegression
See original GitHub issueIt would be very nice to have R-like summary() function. This is a popular question. I understand it doesn’t make sense to output R^2 by default along with everything else. But I think some summary is nice.
My proposal:
When instantiating a model, allow the user to specify a header column. This will be used as the header column so that .coef_ can be outputted as a Pandas series, or another function can be added which would output this. This would make debugging models significantly easier.
Are there major objections or should I just implement it and submit a pull request?
Issue Analytics
- State:
- Created 5 years ago
- Comments:15 (11 by maintainers)
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The difficulty isn’t storing them, it’s passing them in, and transferring/generating them through a sequence of transformers.
From the triaging meeting, we think that R summary will not be added to scikit-learn because it is not in scope.