| Issue | #Downvotes for this reason | By |
|---|
| alpha | Additive (Laplace/Lidstone) smoothing parameter (set alpha=0 and force_alpha=True, for no smoothing) | default: 1.0 |
| class_prior | Prior probabilities of the classes. Not used | default: null |
| fit_prior | Only used in edge case with a single class in the training set | default: true |
| force_alpha | If False and alpha is less than 1e-10, it will set alpha to 1e-10. If True, alpha will remain unchanged. This may cause numerical errors if alpha is too close to 0 .. versionadded:: 1.2 .. deprecated:: 1.2 The default value of `force_alpha` will change to `True` in v1.4 | default: "warn" |
| norm | Whether or not a second normalization of the weights is performed. The default behavior mirrors the implementations found in Mahout and Weka, which do not follow the full algorithm described in Table 9 of the paper. | default: false |