Struct linfa::composing::MultiTargetModel
source · pub struct MultiTargetModel<R: Records, L> { /* private fields */ }
Expand description
Merge models with single target to multi-target models
Many models assume that the target variables are uncorrelated and support therefore only a single target variable. This wrapper allows the user to merge multiple models with only a single-target variable into a multi-target model.
Implementations§
source§impl<R: Records, L> MultiTargetModel<R, L>
impl<R: Records, L> MultiTargetModel<R, L>
sourcepub fn new(models: Vec<Box<dyn PredictInplace<R, Array1<L>>>>) -> Self
pub fn new(models: Vec<Box<dyn PredictInplace<R, Array1<L>>>>) -> Self
Create a wrapper model from a list of single-target models
The type parameter of the single-target models are only constraint to implement the
prediction trait and can otherwise contain any object. This allows the mixture of different
models into the same wrapper. If you want to use the same model for all predictions, just
use the FromIterator
implementation.
Trait Implementations§
source§impl<F, D: Data<Elem = F>, L, P: PredictInplace<ArrayBase<D, Ix2>, Array1<L>> + 'static> FromIterator<P> for MultiTargetModel<ArrayBase<D, Ix2>, L>
impl<F, D: Data<Elem = F>, L, P: PredictInplace<ArrayBase<D, Ix2>, Array1<L>> + 'static> FromIterator<P> for MultiTargetModel<ArrayBase<D, Ix2>, L>
source§fn from_iter<I: IntoIterator<Item = P>>(iter: I) -> Self
fn from_iter<I: IntoIterator<Item = P>>(iter: I) -> Self
Creates a value from an iterator. Read more
Auto Trait Implementations§
impl<R, L> !RefUnwindSafe for MultiTargetModel<R, L>
impl<R, L> !Send for MultiTargetModel<R, L>
impl<R, L> !Sync for MultiTargetModel<R, L>
impl<R, L> Unpin for MultiTargetModel<R, L>
impl<R, L> !UnwindSafe for MultiTargetModel<R, L>
Blanket Implementations§
source§impl<T> BorrowMut<T> for Twhere
T: ?Sized,
impl<T> BorrowMut<T> for Twhere
T: ?Sized,
source§fn borrow_mut(&mut self) -> &mut T
fn borrow_mut(&mut self) -> &mut T
Mutably borrows from an owned value. Read more
§impl<T> Pointable for T
impl<T> Pointable for T
source§impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for Owhere
R: Records<Elem = F>,
O: PredictInplace<R, S>,
impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for Owhere
R: Records<Elem = F>,
O: PredictInplace<R, S>,
fn predict(&self, ds: &'a DatasetBase<R, T>) -> S
source§impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>> for O
impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>> for O
source§impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O
impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O
fn predict(&self, ds: DatasetBase<R, T>) -> DatasetBase<R, S>
§impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
impl<SS, SP> SupersetOf<SS> for SPwhere
SS: SubsetOf<SP>,
§fn to_subset(&self) -> Option<SS>
fn to_subset(&self) -> Option<SS>
The inverse inclusion map: attempts to construct
self
from the equivalent element of its
superset. Read more§fn is_in_subset(&self) -> bool
fn is_in_subset(&self) -> bool
Checks if
self
is actually part of its subset T
(and can be converted to it).§unsafe fn to_subset_unchecked(&self) -> SS
unsafe fn to_subset_unchecked(&self) -> SS
Use with care! Same as
self.to_subset
but without any property checks. Always succeeds.§fn from_subset(element: &SS) -> SP
fn from_subset(element: &SS) -> SP
The inclusion map: converts
self
to the equivalent element of its superset.