Struct GromovWassersteinSampler 

pub struct GromovWassersteinSampler { /* private fields */ }

Gromov-Wasserstein kernel approximation

Implements approximations to Gromov-Wasserstein distances which compare metric measure spaces by their intrinsic geometry. GromovWassersteinSampler

Implementations

impl GromovWassersteinSampler

pub fn new(n_components: usize) -> Self

Create a new Gromov-Wasserstein sampler

pub fn loss_function(self, loss: GWLossFunction) -> Self

Set the loss function

pub fn random_state(self, seed: u64) -> Self

Set random state

Trait Implementations

impl Clone for GromovWassersteinSampler

fn clone(&self) -> GromovWassersteinSampler

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for GromovWassersteinSampler

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

Formats the value using the given formatter.

impl Default for GromovWassersteinSampler

fn default() -> Self

Returns the “default value” for a type.

impl Fit<ArrayBase<OwnedRepr<f64>, Dim<[usize; 2]>>, ()> for GromovWassersteinSampler

type Fitted = FittedGromovWassersteinSampler

The fitted model type

fn fit(self, x: &Array2<f64>, _y: &()) -> SklResult<Self::Fitted>

Fit the model to the provided data with validation

fn fit_with_validation( self, x: &X, y: &Y, _x_val: Option<&X>, _y_val: Option<&Y>, ) -> Result<(Self::Fitted, FitMetrics), SklearsError>

where Self: Sized,

Fit with custom validation and early stopping