DEVELOPMENT...
Issue | #Downvotes for this reason | By |
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alpha | Additive (Laplace/Lidstone) smoothing parameter (set alpha=0 and force_alpha=True, 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 |
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" |