Trait linfa::metrics::ToConfusionMatrix

pub trait ToConfusionMatrix<A, T> {
    // Required method
    fn confusion_matrix(&self, ground_truth: T) -> Result<ConfusionMatrix<A>>;
}

Classification for multi-label evaluation

Contains a routine to calculate the confusion matrix, all other scores are derived form it.

Required Methods

fn confusion_matrix(&self, ground_truth: T) -> Result<ConfusionMatrix<A>>

Implementations on Foreign Types

impl<L: Label, S: Data<Elem = L>, T: AsSingleTargets<Elem = L> + Labels<Elem = L>, R: Records> ToConfusionMatrix<L, &DatasetBase<R, T>> for ArrayBase<S, Ix1>

fn confusion_matrix( &self, ground_truth: &DatasetBase<R, T> ) -> Result<ConfusionMatrix<L>>

Implementors

impl<L: Label, R, R2, T, T2> ToConfusionMatrix<L, &DatasetBase<R, T>> for DatasetBase<R2, T2>

where R: Records, R2: Records, T: AsSingleTargets<Elem = L>, T2: AsSingleTargets<Elem = L> + Labels<Elem = L>,

impl<L: Label, S, T> ToConfusionMatrix<L, &ArrayBase<S, Dim<[usize; 1]>>> for T

where S: Data<Elem = L>, T: AsSingleTargets<Elem = L> + Labels<Elem = L>,

impl<L: Label, S, T> ToConfusionMatrix<L, ArrayBase<S, Dim<[usize; 1]>>> for T

where S: Data<Elem = L>, T: AsSingleTargets<Elem = L> + Labels<Elem = L>,