rand_sparse

rand_sparse([rng], [T], dims...;
    radius=1.0, sparsity=0.1, std=1.0, return_sparse=false)

Create and return a random sparse reservoir matrix. The matrix will be of size specified by dims, with specified sparsity and scaled spectral radius according to radius.

Arguments

• rng: Random number generator. Default is Utils.default_rng() from WeightInitializers.
• T: Type of the elements in the reservoir matrix. Default is Float32.
• dims: Dimensions of the reservoir matrix.

Keyword arguments

• radius: The desired spectral radius of the reservoir. Defaults to 1.0.
• sparsity: The sparsity level of the reservoir matrix, controlling the fraction of zero elements. Defaults to 0.1.
• return_sparse: flag for returning a sparse matrix. Default is false.

Examples

julia> res_matrix = rand_sparse(5, 5; sparsity = 0.5)
5×5 Matrix{Float32}:
 0.0        0.0        0.0        0.0      0.0
 0.0        0.794565   0.0        0.26164  0.0
 0.0        0.0       -0.931294   0.0      0.553706
 0.723235  -0.524727   0.0        0.0      0.0
 1.23723    0.0        0.181824  -1.5478   0.465328