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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/linear/lasso.rs
+8
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@@ -38,13 +38,17 @@ use crate::math::num::RealNumber;
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Debug, Clone)]
pub struct LassoParameters<T: RealNumber> {
#[cfg_attr(feature = "serde", serde(default))]
/// Controls the strength of the penalty to the loss function.
pub alpha: T,
#[cfg_attr(feature = "serde", serde(default))]
/// If true the regressors X will be normalized before regression
/// by subtracting the mean and dividing by the standard deviation.
pub normalize: bool,
#[cfg_attr(feature = "serde", serde(default))]
/// The tolerance for the optimization
pub tol: T,
#[cfg_attr(feature = "serde", serde(default))]
/// The maximum number of iterations
pub max_iter: usize,
}
@@ -116,13 +120,17 @@ impl<T: RealNumber, M: Matrix<T>> Predictor<M, M::RowVector> for Lasso<T, M> {
#[cfg_attr(feature = "serde", derive(Serialize, Deserialize))]
#[derive(Debug, Clone)]
pub struct LassoSearchParameters<T: RealNumber> {
#[cfg_attr(feature = "serde", serde(default))]
/// Controls the strength of the penalty to the loss function.
pub alpha: Vec<T>,
#[cfg_attr(feature = "serde", serde(default))]
/// If true the regressors X will be normalized before regression
/// by subtracting the mean and dividing by the standard deviation.
pub normalize: Vec<bool>,
#[cfg_attr(feature = "serde", serde(default))]
/// The tolerance for the optimization
pub tol: Vec<T>,
#[cfg_attr(feature = "serde", serde(default))]
/// The maximum number of iterations
pub max_iter: Vec<usize>,
}