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In `sklearn.naive_bayes`, `GaussianNB` model return an attribute called `sigma_`.

See original GitHub issue

In the document, sigma_ is the variance of each feature per class, but in general, it means standard variation. So we either change its name to variance_ or call sigma_ the std of each feature per class.

Issue Analytics

State:
Created 3 years ago
Comments:5 (5 by maintainers)

Top GitHub Comments

2reactions

thomasjpfancommented, Apr 5, 2020

For example, Sigma can be used to represent the covariance matrix in multivariate normal distributions:

While for the single variable case:

Anyways for this case, I am okay with this being var_.

On a side note, it is a little strange how the attribute names do not match the variables in the user guide: https://scikit-learn.org/stable/modules/naive_bayes.html#gaussian-naive-bayes

Currently, theta_ is used for the mean and sigma_ is used for the variance.

0reactions

hongshaoyangcommented, Nov 14, 2020

take

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