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- Since it classifies good or bad, multinomial naive bayes might be an additional label to experiment with
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It would be helpful to provide a Naive Bayes classifier for cuML.
Sklearn has an implementation: https://scikit-learn.org/stable/modules/generated/sklearn.naive_bayes.MultinomialNB.html#sklearn.nai…
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Right now Scikit-Learn provides several [Naive Bayes models](http://scikit-learn.org/stable/modules/naive_bayes.html).
* `GaussianNB`: For continuous features that are assumed to be Gaussian distr…
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#### Steps/Code to Reproduce
```python
import numpy as np
from sklearn.linear_model import LogisticRegression
from sklearn.naive_bayes import GaussianNB
from sklearn.ensemble import RandomFores…
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I am trying to build a multiclass classifier.
Should I fall back to one-vs-rest approach or is it somehow possible to extend the `GenerativeModel` to multiclass classification? Can you share some e…
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## Describe the bug
Attempting to use dfm with tfidf weighting scheme `dfm_tfidf()` within `textmodel_nb()` but receive the following error: `Error: will not group a weighted dfm; use force = TRUE …
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Hi
I'm trying to go through the first configuration without success. I am probably making a simple mistake..?
Pinoboard API token is valid (to be sure I generated a new one) and I have only one bo…
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Create a multinomial Naive Bayes classifier to annotate temporal links between event-event and event-timex tags.
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We will add a naive bayes classifier. Furthermore, we need to define a limit, such that if the average text length < LIM, then use the [Bernoulli](https://scikit-learn.org/stable/modules/generated/skl…