[][src]Struct friedrich::prior::ConstantPrior

pub struct ConstantPrior { /* fields omitted */ }

The Constant prior

This prior returns a constant. It can be fit to return the mean of the training data.

Methods

impl ConstantPrior[src]

pub fn new(c: f64) -> Self[src]

Constructs a new constant prior

Trait Implementations

impl Prior for ConstantPrior[src]

fn fit<SM: Storage<f64, Dynamic, Dynamic>, SV: Storage<f64, Dynamic, U1>>(
    &mut self,
    _training_inputs: &Matrix<f64, Dynamic, Dynamic, SM>,
    training_outputs: &Matrix<f64, Dynamic, U1, SV>
)
[src]

the prior is fitted on the mean of the training outputs

impl Clone for ConstantPrior[src]

impl Debug for ConstantPrior[src]

Auto Trait Implementations

Blanket Implementations

impl<T, U> Into<U> for T where
    U: From<T>, 
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impl<T> From<T> for T[src]

impl<T> ToOwned for T where
    T: Clone
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type Owned = T

The resulting type after obtaining ownership.

impl<T, U> TryFrom<U> for T where
    U: Into<T>, 
[src]

type Error = Infallible

The type returned in the event of a conversion error.

impl<T, U> TryInto<U> for T where
    U: TryFrom<T>, 
[src]

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

The type returned in the event of a conversion error.

impl<T> Borrow<T> for T where
    T: ?Sized
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impl<T> BorrowMut<T> for T where
    T: ?Sized
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impl<T> Any for T where
    T: 'static + ?Sized
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impl<T> Same<T> for T

type Output = T

Should always be Self

impl<SS, SP> SupersetOf<SS> for SP where
    SS: SubsetOf<SP>, 

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    V: MultiLane<T>,