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make default params available to serde (#167)

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* add seed param to search params

* make default params available to serde

* lints

* create defaults for enums

* lint
This commit is contained in:
Montana Low
2022-09-21 19:48:31 -07:00
committed by GitHub
parent 403d3f2348
commit 764309e313
22 changed files with 175 additions and 18 deletions
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src/naive_bayes/bernoulli.rs
+6
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@@ -114,10 +114,13 @@ impl<T: RealNumber, M: Matrix<T>> NBDistribution<T, M> for BernoulliNBDistributi
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Debug, Clone)]
pub struct BernoulliNBParameters<T: RealNumber> {
#[cfg_attr(feature = "serde", serde(default))]
/// Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
pub alpha: T,
#[cfg_attr(feature = "serde", serde(default))]
/// Prior probabilities of the classes. If specified the priors are not adjusted according to the data
pub priors: Option<Vec<T>>,
#[cfg_attr(feature = "serde", serde(default))]
/// Threshold for binarizing (mapping to booleans) of sample features. If None, input is presumed to already consist of binary vectors.
pub binarize: Option<T>,
}
@@ -154,10 +157,13 @@ impl<T: RealNumber> Default for BernoulliNBParameters<T> {
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Debug, Clone)]
pub struct BernoulliNBSearchParameters<T: RealNumber> {
#[cfg_attr(feature = "serde", serde(default))]
/// Additive (Laplace/Lidstone) smoothing parameter (0 for no smoothing).
pub alpha: Vec<T>,
#[cfg_attr(feature = "serde", serde(default))]
/// Prior probabilities of the classes. If specified the priors are not adjusted according to the data
pub priors: Vec<Option<Vec<T>>>,
#[cfg_attr(feature = "serde", serde(default))]
/// Threshold for binarizing (mapping to booleans) of sample features. If None, input is presumed to already consist of binary vectors.
pub binarize: Vec<Option<T>>,
}