Trait linfa::traits::FitWith

pub trait FitWith<'a, R: Records, T, E: Error + From<Error>> {
    type ObjectIn: 'a;
    type ObjectOut: 'a;

    fn fit_with(
        &self, 
        model: Self::ObjectIn, 
        dataset: &'a DatasetBase<R, T>
    ) -> Result<Self::ObjectOut, E>;
}

Incremental algorithms

An incremental algorithm takes a former model and dataset and returns a new model with updated parameters. If the former model is None, then the function acts like Fit::fit and initializes the model first.

Required Associated Types

type ObjectIn: 'a

type ObjectOut: 'a

Required Methods

fn fit_with(
    &self,
    model: Self::ObjectIn,
    dataset: &'a DatasetBase<R, T>
) -> Result<Self::ObjectOut, E>

Implementors

impl<'a, F: Float, O: 'a> FitWith<'a, ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<bool>, Dim<[usize; 1]>>, PlattError> for PlattValidParams<F, O> where
    O: PredictInplace<Array2<F>, Array1<F>>, 

type ObjectIn = O

type ObjectOut = Platt<F, O>

impl<'a, R: Records, T, E, P: ParamGuard> FitWith<'a, R, T, E> for P where
    P::Checked: FitWith<'a, R, T, E>,
    E: Error + From<Error> + From<P::Error>, 

Performs checking step and calls fit_with on the checked hyperparameters. If checking failed, the checking error is converted to the original error type of FitWith and returned.

type ObjectIn = <<P as ParamGuard>::Checked as FitWith<'a, R, T, E>>::ObjectIn

type ObjectOut = <<P as ParamGuard>::Checked as FitWith<'a, R, T, E>>::ObjectOut