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As discussed in https://github.com/scikit-learn/scikit-learn/issues/12464#issuecomment-433815773 and https://github.com/scikit-learn/scikit-learn/issues/15358#issuecomment-549048650 in some specific u…
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Post questions here for one or more of our fundamentals readings:
Manning, Christopher, Prabhakar Raghavan and Hinrich Schütze. 2008. “[Text Classification and Naïve Bayes](https://nlp.stanford.ed…
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Right now neither [random_forest_classifier](https://github.com/smartcorelib/smartcore/blob/development/src/ensemble/random_forest_classifier.rs) nor [random_forest_regressor](https://github.com/smart…
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Input: News Headline
Output: Classification of News Category
zb: datasets for Text classification are used to categorize natural language texts according to content. For example, news articles by t…
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#### Description
Naive bayes in sklearn seems do not support additive smoothing only.
Can we make some change to make it support good-turing smoothing or other smoothing and how?
In some experiment…
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Hello,
A useful feature would be to add the information gain as defined p.17 of https://web.stanford.edu/~jurafsky/slp3/4.pdf. That would be a pretty useful metric.
What do you think?
Thanks!
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Nick suggests a tiered approach. Ben will do a survey and see how many classifiers there are and whether it could be done.
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Hello,
I am interested in using bayespy to learn the parameters of a large DAG. My understanding (and, please, correct me if I'm wrong) is that parameter learning using Variational Bayes should be fa…
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### Reason/inspiration (optional)
We would like a new entry on the `Naive Bayes` concept under Sklearn. The entry should go in a new file under `docs/content/sklearn/concepts/naive-bayes/naive-bayes.…