Struct MinimizationObserver 

pub struct MinimizationObserver(/* private fields */);

An Observer which can be used to monitor the progress of a minimization.

This should be paired with a Python object which has an observe method that takes the current step and a method-specific minimization status object.

Trait Implementations

impl Clone for MinimizationObserver

fn clone(&self) -> MinimizationObserver

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<'a, 'py> FromPyObject<'a, 'py> for MinimizationObserver

type Error = PyErr

The type returned in the event of a conversion error.

fn extract(ob: Borrowed<'a, 'py, PyAny>) -> PyResult<Self>

Extracts Self from the bound smart pointer obj.

impl<A, P, C> Observer<A, P, GradientFreeStatus, MaybeThreadPool, LadduError, C> for MinimizationObserver

where A: Algorithm<P, GradientFreeStatus, MaybeThreadPool, LadduError, Config = C>,

fn observe( &mut self, current_step: usize, _algorithm: &A, _problem: &P, status: &GradientFreeStatus, _args: &MaybeThreadPool, _config: &C, )

An observation method which is called on each step of an Algorithm.

impl<A, P, C> Observer<A, P, GradientStatus, MaybeThreadPool, LadduError, C> for MinimizationObserver

where A: Algorithm<P, GradientStatus, MaybeThreadPool, LadduError, Config = C>,

fn observe( &mut self, current_step: usize, _algorithm: &A, _problem: &P, status: &GradientStatus, _args: &MaybeThreadPool, _config: &C, )

An observation method which is called on each step of an Algorithm.

impl<A, P, C> Observer<A, P, SwarmStatus, MaybeThreadPool, LadduError, C> for MinimizationObserver

where A: Algorithm<P, SwarmStatus, MaybeThreadPool, LadduError, Config = C>,

fn observe( &mut self, current_step: usize, _algorithm: &A, _problem: &P, status: &SwarmStatus, _args: &MaybeThreadPool, _config: &C, )

An observation method which is called on each step of an Algorithm.