pub type MultiTaskElasticNetValidParams<F> = ElasticNetValidParamsBase<F, true>;Expand description
A verified hyper-parameter set ready for the estimation of a multi-task ElasticNet regression model
See MultiTaskElasticNetParams for more information.
Aliased Type§
struct MultiTaskElasticNetValidParams<F> { /* private fields */ }Trait Implementations§
Source§impl<F, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, ElasticNetError> for MultiTaskElasticNetValidParams<F>where
F: Float,
T: AsMultiTargets<Elem = F>,
D: Data<Elem = F>,
impl<F, D, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, ElasticNetError> for MultiTaskElasticNetValidParams<F>where
F: Float,
T: AsMultiTargets<Elem = F>,
D: Data<Elem = F>,
Source§fn fit(
&self,
dataset: &DatasetBase<ArrayBase<D, Ix2>, T>,
) -> Result<Self::Object>
fn fit( &self, dataset: &DatasetBase<ArrayBase<D, Ix2>, T>, ) -> Result<Self::Object>
Fit a multi-task Elastic Net model given a feature matrix x and a target
matrix y.
The feature matrix x must have shape (n_samples, n_features)
The target variable y must have shape (n_samples, n_tasks)
Returns a FittedMultiTaskElasticNet object which contains the fitted
parameters and can be used to predict values of the target variables
for new feature values.