SLSQPLSQFitter

class astropy.modeling.fitting.SLSQPLSQFitter

Bases: astropy.modeling.fitting.Fitter

SLSQP optimization algorithm and least squares statistic.

Raises:

ModelLinearityError

A linear model is passed to a nonlinear fitter

Attributes Summary

supported_constraints

list() -> new empty list

Methods Summary

__call__(model, x, y[, z, weights])

Fit data to this model.

Attributes Documentation

supported_constraints = [u'bounds', u'eqcons', u'ineqcons', u'fixed', u'tied']

Methods Documentation

__call__(model, x, y, z=None, weights=None, **kwargs)

Fit data to this model.

Parameters:

model : FittableModel

model to fit to x, y, z

x : array

input coordinates

y : array

input coordinates

z : array (optional)

input coordinates

weights : array (optional)

weights

kwargs : dict

optional keyword arguments to be passed to the optimizer or the statistic

verblevel : int

0-silent 1-print summary upon completion, 2-print summary after each iteration

maxiter : int

maximum number of iterations

epsilon : float

the step size for finite-difference derivative estimates

acc : float

Requested accuracy

Returns:

model_copy : FittableModel

a copy of the input model with parameters set by the fitter