Struct linfa_reduction::DiffusionMapParams

pub struct DiffusionMapParams(_);

Diffusion map hyperparameters

The diffusion map algorithms has only two explicit hyperparameter. The first is the stepsize. As the algorithm calculates the closeness of points after a number of steps taken in the diffusion graph, a larger step size introduces a more global behaviour of the projection while a smaller one (especially one) just projects close obserations closely together. The second parameter is the embedding size and defines the target dimensionality.

Implementations

impl DiffusionMapParams

pub fn steps(self, steps: usize) -> Self

Set the number of steps in the diffusion operator

The diffusion map algorithm expresses the transition probability with a kernel matrix and then takes multiple steps along the diffusion operator. In practice scales the eigenvalues of the decomposition exponentially with the number of steps.

pub fn embedding_size(self, embedding_size: usize) -> Self

pub fn new(embedding_size: usize) -> DiffusionMapParams

Creates the set of default parameters

Parameters

• embedding_size: the number of dimensions in the projection

Returns

Parameter set with number of steps = 1

Trait Implementations

impl Default for DiffusionMapParams

fn default() -> Self

Returns the “default value” for a type.

impl ParamGuard for DiffusionMapParams

type Checked = DiffusionMapValidParams

The checked hyperparameters

type Error = ReductionError

Error type resulting from failed hyperparameter checking

fn check_ref(&self) -> Result<&Self::Checked, Self::Error>

Checks the hyperparameters and returns a reference to the checked hyperparameters if successful

fn check(self) -> Result<Self::Checked, Self::Error>

Checks the hyperparameters and returns the checked hyperparameters if successful

fn check_unwrap(self) -> Self::Checked

Calls check() and unwraps the result

impl TransformGuard for DiffusionMapParams