Iterative(gdml_train, desc, callback=None, max_processes=None, use_torch=False)¶
Performs a Cholesky decompostion of a matrix, but regularizes as needed until its positive definite.
numpy.ndarray) – Matrix to factorize.
min_eig (float) – Force lowest eigenvalue to be a certain (positive) value (default: machine precision)
numpy.ndarray– Matrix whose upper or lower triangle contains the Cholesky factor of a. Other parts of the matrix contain random data.
boolean – Flag indicating whether the factor is in the lower or upper triangle
solve(task, R_desc, R_d_desc, tril_perms_lin, y, y_std, save_progr_callback=None)¶