SimplexLSQFitter¶
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class
astropy.modeling.fitting.SimplexLSQFitter[source] [edit on github]¶ Bases:
astropy.modeling.fitting.FitterSimplex algorithm and least squares statistic.
Raises: - ModelLinearityError
A linear model is passed to a nonlinear fitter
Attributes Summary
supported_constraintsMethods Summary
__call__(model, x, y[, z, weights])Fit data to this model. Attributes Documentation
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supported_constraints= ['bounds', 'fixed', 'tied']¶
Methods Documentation
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__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
- maxiter : int
maximum number of iterations
- acc : float
Relative error in approximate solution
- 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 :