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Looking at the tutorials, the ordering looks a bit random. Perhaps we should reorder the tutorials, roughly in order from least to most advanced, to make it easier to understand them? I'd suggest some…
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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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Please add support for multinomial regression in the newest version of pyglmnet.
Please also add support for penalty factors (regularization penalties per feature) as described here: https://glmne…
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Function _VariableSelection()_ returns matrix of beta with 4 dimensions when _family = multinomial_. The fourth dimension, I assume, corresponds to the outcome variables including the reference catego…
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My name is Vitor Vieira Vasconcelos, professor at Federal University of ABC, in Brazil. We are willing to use your interesting gWQS package in R, to evaluate the influence of environmental factors on …
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Issue: std_coef_plot method in h2o.model.model_base.ModelBase class plots multinomial logistic regression standardized coefficients as the the sum of the absolute values of each class's regression coe…
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`predict_particles` throws a `MethodError` when I try to use it in the multinomial logistic regression example.
The error is: `ERROR: MethodError: no method matching &(::Particles{Bool,1000}, ::Par…
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This is underway in #10, with some final bells and whistles and checks still TODO. This issue is just so we can keep track of this outside of the PR.
adw96 updated
1 month ago
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Happens in `test-rule-fit-binomial.R`, `test-rule-fit-multinomial.R`, and `test-rule-fit-regression.R`.
``` r
library(rules)
#> Loading required package: parsnip
data("ad_data", package = "mod…