SLSQPLSQFitter¶
-
class
astropy.modeling.fitting.
SLSQPLSQFitter
[source] [edit on github]¶ 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
Methods Summary
__call__
(model, x, y[, z, weights])Fit data to this model. Attributes Documentation
-
supported_constraints
= ['bounds', 'eqcons', 'ineqcons', 'fixed', 'tied']¶
Methods Documentation
-
__call__
(model, x, y, z=None, weights=None, **kwargs)[source] [edit on github]¶ 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 for fitting. For data with Gaussian uncertainties, the weights should be 1/sigma.
- 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
- equivalencies : list or None, optional and keyword-only argument
List of additional equivalencies that are should be applied in case x, y and/or z have units. Default is None.
Returns: - model_copy :
FittableModel
a copy of the input model with parameters set by the fitter
- model :