Struct linfa_clustering::GmmValidParams

pub struct GmmValidParams<F: Float, R: Rng> { /* private fields */ }

The set of hyperparameters that can be specified for the execution of the GMM algorithm.

Implementations

impl<F: Float, R: Rng + Clone> GmmValidParams<F, R>

pub fn n_clusters(&self) -> usize

pub fn covariance_type(&self) -> &GmmCovarType

pub fn tolerance(&self) -> F

pub fn reg_covariance(&self) -> F

pub fn n_runs(&self) -> u64

pub fn max_n_iterations(&self) -> u64

pub fn init_method(&self) -> &GmmInitMethod

pub fn rng(&self) -> R

Trait Implementations

impl<F: Clone + Float, R: Clone + Rng> Clone for GmmValidParams<F, R>

fn clone(&self) -> GmmValidParams<F, R>

Returns a copy of the value.

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

Performs copy-assignment from source.

impl<F: Debug + Float, R: Debug + Rng> Debug for GmmValidParams<F, R>

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

Formats the value using the given formatter.

impl<F: Float, R: Rng + Clone, D: Data<Elem = F>, T> Fit<ArrayBase<D, Dim<[usize; 2]>>, T, GmmError> for GmmValidParams<F, R>

type Object = GaussianMixtureModel<F>

fn fit(
    &self,
    dataset: &DatasetBase<ArrayBase<D, Ix2>, T>
) -> Result<Self::Object, GmmError>

impl<F: PartialEq + Float, R: PartialEq + Rng> PartialEq<GmmValidParams<F, R>> for GmmValidParams<F, R>

fn eq(&self, other: &GmmValidParams<F, R>) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl<F: Float, R: Rng> StructuralPartialEq for GmmValidParams<F, R>