[−][src]Struct peroxide::numerical::optimize::Optimizer
Optimizer for optimization (non-linear regression)
Methods
- Gradient Descent
- Gauss Newton
- Levenberg Marquardt
Caution
funcshould be boxed. (This allows more generic function)
Implementations
impl<F> Optimizer<F> where
F: Fn(&Vec<f64>, Vec<Number>) -> Option<Vec<Number>>, [src]
F: Fn(&Vec<f64>, Vec<Number>) -> Option<Vec<Number>>,
pub fn new(data: Matrix, func: F) -> Self[src]
pub fn get_domain(&self) -> Vec<f64>[src]
pub fn get_error(&self) -> f64[src]
pub fn set_init_param(&mut self, p: Vec<f64>) -> &mut Self[src]
pub fn set_max_iter(&mut self, n: usize) -> &mut Self[src]
pub fn set_method(&mut self, method: OptMethod) -> &mut Self[src]
pub fn optimize(&mut self) -> Vec<f64>[src]
Auto Trait Implementations
impl<F> RefUnwindSafe for Optimizer<F> where
F: RefUnwindSafe,
F: RefUnwindSafe,
impl<F> Send for Optimizer<F> where
F: Send,
F: Send,
impl<F> Sync for Optimizer<F> where
F: Sync,
F: Sync,
impl<F> Unpin for Optimizer<F>
impl<F> UnwindSafe for Optimizer<F> where
F: UnwindSafe,
F: UnwindSafe,
Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized, [src]
T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized, [src]
T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized, [src]
T: ?Sized,
fn borrow_mut(&mut self) -> &mut T[src]
impl<T> From<T> for T[src]
impl<T, U> Into<U> for T where
U: From<T>, [src]
U: From<T>,
impl<T, U> TryFrom<U> for T where
U: Into<T>, [src]
U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>[src]
impl<T, U> TryInto<U> for T where
U: TryFrom<T>, [src]
U: TryFrom<T>,
type Error = <U as TryFrom<T>>::Error
The type returned in the event of a conversion error.
fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>[src]
impl<V, T> VZip<V> for T where
V: MultiLane<T>,
V: MultiLane<T>,