Struct NeuralSpatialOptimizer 

pub struct NeuralSpatialOptimizer { /* private fields */ }

Neural spatial optimizer

Implementations

impl NeuralSpatialOptimizer

pub fn new() -> Self

Create new neural spatial optimizer

pub fn with_network_architecture(self, layersizes: impl AsRef<[usize]>) -> Self

Configure network architecture

pub fn set_network_architecture(&mut self, layersizes: impl AsRef<[usize]>)

Set network architecture in place (for use when already borrowed mutably)

pub fn with_learning_rate(&mut self, lr: f64) -> &mut Self

Configure learning rate

pub fn with_adaptive_learning(&mut self, enabled: bool) -> &mut Self

Enable adaptive learning

pub fn optimize_clustering_parameters( &mut self, points: &ArrayView2<'_, f64>, ) -> SpatialResult<ClusteringParameters>

Optimize clustering parameters using neural network

Trait Implementations

impl Clone for NeuralSpatialOptimizer

fn clone(&self) -> NeuralSpatialOptimizer

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for NeuralSpatialOptimizer

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for NeuralSpatialOptimizer

fn default() -> Self

Returns the “default value” for a type.