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## Interface to Multinomial Naive Bayes function
Parsnip already offers interfaces to several packages that perform [Naive Bayes](https://parsnip.tidymodels.org/reference/naive_Bayes.html). However…
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Hi,
very appreciate for your work before.
just want to ask, is it can handle for Multinomial Naive Bayes Classification?
Thanks
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Is there any estimate on when we can expect PMML support for Multinomial naive bayes model in sklearn?
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Currently `linfa-bayes` crate contains Gaussian Naive Bayes algorithm. It should not be very difficult to add other kinds of Naive Bayes present in `sklearn`:
- [x] Multinomial Naive Bayes
- [ ] Ber…
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Implementation of the following:
- [x] Naive Bayes
- [x] Gaussian Naive Bayes
- [x] Multinomial Naive Bayes
- [ ] Averaged One-Dependence Estimators (AODE)
- [ ] Bayesian Belief Network…
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#### Learning Goals
Naive Bayes algorithm, text feature extraction, sklearn pipeline object.
### Exercise Statement
Create an e-mail spam detection model.
### Prerequisites
Basic understan…
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Spark ML Lib offers both Multinomial and Bernoulli options for Naive Bayes according to this: https://spark.apache.org/docs/1.5.2/mllib-naive-bayes.html
We currently only offer the one option.
w2sgb updated
4 years ago
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### Describe the workflow you want to enable
The idea seems simple enough as described in this paper: https://arxiv.org/pdf/1905.09884.pdf
> Due to its linear complexity, naive Bayes classificat…
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1
can be categorical features used as input to nfs.fit_transform
nfs = NaiveFeatureSelection(k=kv)
# Use fit_transform to extract selected features
X_new = nfs.fit_transform(X_train, y_train)
i…