Wrapper function to generate DGRDL parameters

Wrapper function to generate DGRDL parameters

Usage

params_dgrdl(
  sparsity = 5L,
  dict_size = 5L,
  alpha = 1,
  beta = 1,
  max_iter = 20L,
  k_neighbours = 5L,
  admm_iter = 5L,
  rho = 1
)

Arguments

sparsity

Integer. Sparsity constraint (max non-zero coefficients per signal)

dict_size

Integer. Dictionary size

alpha

Float. Sample context regularisation weight.

beta

Float. Feature effect regularisation weight.

max_iter

Integer. Maximum number of iterations for the main algorithm.

k_neighbours

Integer. Number of neighbours in the KNN graph.

admm_iter

Integer. ADMM iterations for sparse coding.

rho

Float. ADMM step size.

Value

List with parameters for usage in subsequent function.