Struct linfa_reduction::DiffusionMapValidParams

pub struct DiffusionMapValidParams { /* private fields */ }

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 DiffusionMapValidParams

pub fn steps(&self) -> usize

pub fn embedding_size(&self) -> usize

Trait Implementations

impl<'a, F: Float> Transformer<&'a KernelBase<ArrayBase<OwnedRepr<F>, Dim<[usize; 2]>>, CsMatBase<F, usize, Vec<usize, Global>, Vec<usize, Global>, Vec<F, Global>, usize>>, DiffusionMap<F>> for DiffusionMapValidParams

fn transform(&self, kernel: &'a Kernel<F>) -> DiffusionMap<F>

Project a kernel matrix to its embedding

Parameter

• kernel: Kernel matrix

Returns

Embedding for each observation in the kernel matrix