[−][src]Struct blackbox::bayesian::GPSurrogate

pub struct GPSurrogate<T: BlackboxInput> { /* fields omitted */ }

Gaussian Process with a kernel that handles discrete variables

Methods

impl<T: BlackboxInput> GPSurrogate<T>[src]

pub fn new(inputs: &Matrix<f64>, outputs: &Vector<f64>) -> GPSurrogate<T>[src]

pub fn maximize(&self, best_score: f64) -> T[src]

Maximize EI in this surrogate. For now a naive search. Return input that maximizes it.

pub fn expected_improvement(&self, x: &[f64], best_score: f64) -> f64[src]

Evaluates the expected improvement (EI) in a single point

pub fn evaluate_in(&self, x: &[f64]) -> (f64, f64)[src]

Evaluates the posterior of the GP in a single point. Returns (mean, variance)

Auto Trait Implementations

impl<T> RefUnwindSafe for GPSurrogate<T> where
    T: RefUnwindSafe, 

impl<T> Send for GPSurrogate<T> where
    T: Send, 

impl<T> Sync for GPSurrogate<T> where
    T: Sync, 

impl<T> Unpin for GPSurrogate<T> where
    T: Unpin, 

impl<T> UnwindSafe for GPSurrogate<T> where
    T: UnwindSafe, 

Blanket Implementations

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

impl<T> Borrow<T> for T where
    T: ?Sized, [src]

impl<T> BorrowMut<T> for T where
    T: ?Sized, [src]

impl<T> From<T> for T[src]

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

impl<T> SendSyncUnwindSafe for T where
    T: Send + Sync + UnwindSafe + ?Sized, [src]

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.