Trait rustlearn::traits::ParallelSupervisedModel

pub trait ParallelSupervisedModel<T> {
    fn fit_parallel(
        &mut self, 
        X: T, 
        y: &Array, 
        num_threads: usize
    ) -> Result<(), &'static str>;
}

Applies to models capable of being trained in a parallel fashion.

Required Methods

fn fit_parallel(
    &mut self,
    X: T,
    y: &Array,
    num_threads: usize
) -> Result<(), &'static str>

Implementors

• impl<'a, T> ParallelSupervisedModel<&'a T> for FactorizationMachine where     &'a T: RowIterable,     T: IndexableMatrix + Sync,

• impl<'a, T: SupervisedModel<&'a Array> + Clone + Sync + Send> ParallelSupervisedModel<&'a Array> for OneVsRestWrapper<T>

• impl<'a, T: SupervisedModel<&'a SparseRowArray> + Clone + Sync + Send> ParallelSupervisedModel<&'a SparseRowArray> for OneVsRestWrapper<T>

• impl<'a, T: SupervisedModel<&'a SparseColumnArray> + Clone + Sync + Send> ParallelSupervisedModel<&'a SparseColumnArray> for OneVsRestWrapper<T>