| Issue | #Downvotes for this reason | By |
|---|
| alpha | Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing) | default: 1.0 |
| binarize | Threshold for binarizing (mapping to booleans) of sample features If None, input is presumed to already consist of binary vectors | default: 0.0 |
| class_prior | Prior probabilities of the classes. If specified the priors are not adjusted according to the data. | default: null |
| fit_prior | Whether to learn class prior probabilities or not If false, a uniform prior will be used | default: true |