LevMarLSQFitter¶

class
astropy.modeling.fitting.
LevMarLSQFitter
[source] [edit on github]¶ Bases:
object
LevenbergMarquardt algorithm and least squares statistic.
Notes
The
fit_info
dictionary contains the values returned byscipy.optimize.leastsq
for the most recent fit, including the values from theinfodict
dictionary it returns. See thescipy.optimize.leastsq
documentation for details on the meaning of these values. Note that thex
return value is not included (as it is instead the parameter values of the returned model).Additionally, one additional element of
fit_info
is computed whenever a model is fit, with the key ‘param_cov’. The corresponding value is the covariance matrix of the parameters as a 2D numpy array. The order of the matrix elements matches the order of the parameters in the fitted model (i.e., the same order asmodel.param_names
).Attributes
fit_info (dict) The scipy.optimize.leastsq
result for the most recent fit (see notes).Attributes Summary
supported_constraints
The constraint types supported by this fitter type. Methods Summary
__call__
(model, x, y[, z, equivalencies])objective_function
(fps, *args)Function to minimize. Attributes Documentation

supported_constraints
= ['fixed', 'tied', 'bounds']¶ The constraint types supported by this fitter type.
Methods Documentation

__call__
(model, x, y, z=None, equivalencies=None, **kwargs)[source] [edit on github]¶

objective_function
(fps, *args)[source] [edit on github]¶ Function to minimize.
Parameters: fps : list
parameters returned by the fitter
args : list
[model, [weights], [input coordinates]]
