Trait Builder 

pub trait Builder<M, Input, Output>
where
    M: BaseModel<Input, Output>,
{
    // Required method
    fn build(&self) -> Result<M, ModelError>;
}

A trait for implementing the Builder pattern for machine learning models.

This trait ensures that any builder can construct a specific model type through a consistent interface. Builders allow for flexible configuration of model parameters before instantiation.

Required Methods

fn build(&self) -> Result<M, ModelError>

Builds and returns a new model instance with the configured parameters.

Returns

• Result<M, ModelError> - The constructed model if successful, or an error if the construction fails (e.g., due to invalid configuration parameters)

Implementors

impl Builder<LinearRegression, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for LinearRegressionBuilder

impl Builder<LogisticRegression, ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<f64>, Dim<[usize; 1]>>> for LogisticRegressionBuilder