funclp.LM module

class funclp.LM(function, estimator, **kwargs)[source]

Bases: Fit

static cpu_damped_step(hessian, hessian_cache, gradient, damping, damping_min, damping_max, tau, initialized, parameters, indices, steps, bounds_min, bounds_max, ignore)[source]

property cpu_trial_chi2

property damped_step

damping_max = 1000000.0

damping_min = 1e-06

damping_tau = 0.001

fit_init()[source]: Fit initialization specific to optimizer

fit_optimize()[source]: Fit main logic optimizer

static gpu_damped_step(hessian, hessian_cache, gradient, damping, damping_min, damping_max, tau, initialized, parameters, indices, steps, bounds_min, bounds_max, ignore)[source]

property gpu_trial_chi2

max_retries = 10

property trial_chi2