Trait linfa::traits::FitWith

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

    // Required method
    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> 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>> + 'a,

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