cr.sparse.block.bsbl.BSBL_Options

class cr.sparse.block.bsbl.BSBL_Options(learn_block_corr: int = 1, learn_lambda: int = 1, prune_gamma: float = 0.001, lambda_val: float = 1e-12, max_iters: int = 800, epsilon: float = 1e-08)

Options for the BSBL algorithm

Attributes

epsilon	Solution accuracy tolerance parameter
lambda_val	User defined value for lambda [if provided by user]
learn_block_corr	Indicates whether intra block correlations are to be learned or ignored.
learn_lambda	Indicates if the variance of noise is to be estimated from data
max_iters	Maximum number of iterations for the BSBL algorithm
prune_gamma	Threshold for pruning small values of gamma_i