Struct linfa::composing::MultiClassModel[−][src]

pub struct MultiClassModel<R: Records, L> { /* fields omitted */ }

Expand description

Merge models with binary to multi-class classification

Implementations

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impl<R: Records, L> MultiClassModel<R, L>

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pub fn new(models: Vec<(L, Box<dyn PredictInplace<R, Array1<Pr>>>)>) -> Self

Trait Implementations

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impl<F: Float, D: Data<Elem = F>, L, P: PredictInplace<ArrayBase<D, Ix2>, Array1<Pr>> + 'static> FromIterator<(L, P)> for MultiClassModel<ArrayBase<D, Ix2>, L>

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fn from_iter<I: IntoIterator<Item = (L, P)>>(iter: I) -> Self

Creates a value from an iterator. Read more

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impl<L: Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<L>, Dim<[usize ; 1]>>> for MultiClassModel<ArrayBase<D, Ix2>, L>

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fn predict_inplace(&self, arr: &ArrayBase<D, Ix2>, y: &mut Array1<L>)

Predict something in place

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fn default_target(&self, x: &ArrayBase<D, Ix2>) -> Array1<L>

Create targets that predict_inplace works with.

Auto Trait Implementations

impl<R, L> !RefUnwindSafe for MultiClassModel<R, L>

impl<R, L> !Send for MultiClassModel<R, L>

impl<R, L> !Sync for MultiClassModel<R, L>

impl<R, L> Unpin for MultiClassModel<R, L> where
L: Unpin,

impl<R, L> !UnwindSafe for MultiClassModel<R, L>

Blanket Implementations

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impl<T> Any for T where
T: 'static + ?Sized,

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pub fn type_id(&self) -> TypeId

Gets the TypeId of self. Read more

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impl<T> Borrow<T> for T where
T: ?Sized,

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pub fn borrow(&self) -> &T

Immutably borrows from an owned value. Read more

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impl<T> BorrowMut<T> for T where
T: ?Sized,

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pub fn borrow_mut(&mut self) -> &mut T

Mutably borrows from an owned value. Read more

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impl<T> From<T> for T

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pub fn from(t: T) -> T

Performs the conversion.

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impl<T, U> Into for T where
U: From<T>,

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pub fn into(self) -> U

Performs the conversion.

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impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where
 F: Float,
 D: Data<Elem = F>,
 DM: Dimension,
 O: PredictInplace<ArrayBase<D, DM>, T>,

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pub fn predict(&Self, &'a ArrayBase<D, DM>) -> T

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impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where
 F: Float,
 R: Records<Elem = F>,
 O: PredictInplace<R, S>,

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pub fn predict(&Self, &'a DatasetBase<R, T>) -> S

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impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize ; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>> for O where
 D: Data<Elem = F>,
 T: AsTargets<Elem = E>,
 F: Float,
 O: PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, T>,

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pub fn predict(
&Self,
ArrayBase<D, Dim<[usize ; 2]>>
) -> DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>

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impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where
 R: Records<Elem = F>,
 S: AsTargets<Elem = E>,
 F: Float,
 O: PredictInplace<R, S>,

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pub fn predict(&Self, DatasetBase<R, T>) -> DatasetBase<R, S>

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impl<T, U> TryFrom for T where
U: Into<T>,

type Error = Infallible

The type returned in the event of a conversion error.

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pub fn try_from(value: U) -> Result<T, <T as TryFrom>::Error>

Performs the conversion.

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impl<T, U> TryInto for T where
U: TryFrom<T>,

type Error = >::Error

The type returned in the event of a conversion error.

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pub fn try_into(self) -> Result<U, >::Error>

Performs the conversion.

Struct linfa::composing::MultiClassModel[−][src]

Implementations

impl<R: Records, L> MultiClassModel<R, L>

pub fn new(models: Vec<(L, Box<dyn PredictInplace<R, Array1<Pr>>>)>) -> Self

Trait Implementations

impl<F: Float, D: Data<Elem = F>, L, P: PredictInplace<ArrayBase<D, Ix2>, Array1<Pr>> + 'static> FromIterator<(L, P)> for MultiClassModel<ArrayBase<D, Ix2>, L>

fn from_iter<I: IntoIterator<Item = (L, P)>>(iter: I) -> Self

impl<L: Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize; 2]>>, ArrayBase<OwnedRepr<L>, Dim<[usize; 1]>>> for MultiClassModel<ArrayBase<D, Ix2>, L>

fn predict_inplace(&self, arr: &ArrayBase<D, Ix2>, y: &mut Array1<L>)

fn default_target(&self, x: &ArrayBase<D, Ix2>) -> Array1<L>

Auto Trait Implementations

impl<R, L> !RefUnwindSafe for MultiClassModel<R, L>

impl<R, L> !Send for MultiClassModel<R, L>

impl<R, L> !Sync for MultiClassModel<R, L>

impl<R, L> Unpin for MultiClassModel<R, L> where L: Unpin,

impl<R, L> !UnwindSafe for MultiClassModel<R, L>

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

pub fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

pub fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

pub fn borrow_mut(&mut self) -> &mut T

impl<T> From<T> for T

pub fn from(t: T) -> T

impl<T, U> Into<U> for T where U: From<T>,

pub fn into(self) -> U

impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where F: Float, D: Data<Elem = F>, DM: Dimension, O: PredictInplace<ArrayBase<D, DM>, T>,

pub fn predict(&Self, &'a ArrayBase<D, DM>) -> T

impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where F: Float, R: Records<Elem = F>, O: PredictInplace<R, S>,

pub fn predict(&Self, &'a DatasetBase<R, T>) -> S

impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>> for O where D: Data<Elem = F>, T: AsTargets<Elem = E>, F: Float, O: PredictInplace<ArrayBase<D, Dim<[usize; 2]>>, T>,

pub fn predict( &Self, ArrayBase<D, Dim<[usize; 2]>>) -> DatasetBase<ArrayBase<D, Dim<[usize; 2]>>, T>

impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where R: Records<Elem = F>, S: AsTargets<Elem = E>, F: Float, O: PredictInplace<R, S>,

pub fn predict(&Self, DatasetBase<R, T>) -> DatasetBase<R, S>

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for T where V: MultiLane<T>,

pub fn vzip(self) -> V

impl<L: Clone + Default, F: Float, D: Data<Elem = F>> PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, ArrayBase<OwnedRepr<L>, Dim<[usize ; 1]>>> for MultiClassModel<ArrayBase<D, Ix2>, L>

impl<R, L> Unpin for MultiClassModel<R, L> where
L: Unpin,

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T, U> Into<U> for T where
U: From<T>,

impl<'a, F, D, DM, T, O> Predict<&'a ArrayBase<D, DM>, T> for O where
F: Float,
D: Data<Elem = F>,
DM: Dimension,
O: PredictInplace<ArrayBase<D, DM>, T>,

impl<'a, F, R, T, S, O> Predict<&'a DatasetBase<R, T>, S> for O where
F: Float,
R: Records<Elem = F>,
O: PredictInplace<R, S>,

impl<F, D, E, T, O> Predict<ArrayBase<D, Dim<[usize ; 2]>>, DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>> for O where
D: Data<Elem = F>,
T: AsTargets<Elem = E>,
F: Float,
O: PredictInplace<ArrayBase<D, Dim<[usize ; 2]>>, T>,

pub fn predict(
&Self,
ArrayBase<D, Dim<[usize ; 2]>>
) -> DatasetBase<ArrayBase<D, Dim<[usize ; 2]>>, T>

impl<F, R, T, E, S, O> Predict<DatasetBase<R, T>, DatasetBase<R, S>> for O where
R: Records<Elem = F>,
S: AsTargets<Elem = E>,
F: Float,
O: PredictInplace<R, S>,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

impl<V, T> VZip<V> for T where
V: MultiLane<T>,