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I noticed in the notebook GLMest.ipynb, you don't add a constant column to X. Are you not supposed to?
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I'm needing to run logistic regression, ideally with the ability to be multinomial. I noticed that you ( @simonster ) also built a wrapper for GLMnet; have you had any plans on adding this feature to …
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#### Is your feature request related to a problem? Please describe.
I am trying to discover low rank features in tensor data (neural time series that have been expanded into spectrograms) that regres…
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Not really an issue, but a gap in the docs or my knowledge ;-) When using BAMBI to do a multinomial logistic regression, which category is considered the pivot category?
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![image](https://user-images.githubusercontent.com/60999947/106924067-b62a5d00-66dc-11eb-9f4b-5495f3ed3658.png)
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While "good" and "bad" are useful classes for training, there's no real reason why we couldn't create additional classifications that are automatically categorized - e.g. "solvent peak" or "only in st…
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Are there any plans to implement multinomial logistic regression?
Specifically, I am referring to the situation of a categorical output variable that has strictly greater than two possible classes.…
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Multinomial logistic regression is implemented in `statsmodels` as `statsmodels.discrete.discrete_model.MNLogit`. After training, this model allows observations consisting of multiple quantitative fe…
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According to readme file (`scripts/algorithms/README.md`), `multiLogReg.daph` should work, however daphne returns the following error message:
```
$ bin/daphne scripts/algorithms/multiLogReg.daph XY…
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Currently the tool only allows for linear regression to be used (continuous outcome).
We need to add support for binary/categorical outcome variables.
- [x] Allow binary/categorical variables in t…