LinearLSQFitter¶

class
astropy.modeling.fitting.
LinearLSQFitter
(calc_uncertainties=False)[source]¶ Bases:
object
A class performing a linear least square fitting. Uses
numpy.linalg.lstsq
to do the fitting. Given a model and data, fits the model to the data and changes the model’s parameters. Keeps a dictionary of auxiliary fitting information. Notes —– Note that currently LinearLSQFitter does not support compound models.Attributes Summary
Methods Summary
__call__
(model, x, y[, z, weights, rcond])Fit data to this model.
Attributes Documentation

supported_constraints
= ['fixed']¶

supports_masked_input
= True¶
Methods Documentation

__call__
(model, x, y, z=None, weights=None, rcond=None)[source]¶ Fit data to this model.
 Parameters
 model
FittableModel
model to fit to x, y, z
 x
array
Input coordinates
 yarray_like
Input coordinates
 zarray_like, optional
Input coordinates. If the dependent (
y
orz
) coordinate values are provided as anumpy.ma.MaskedArray
, any masked points are ignored when fitting. Note that model set fitting is significantly slower when there are masked points (not just an empty mask), as the matrix equation has to be solved for each model separately when their coordinate grids differ. weights
array
, optional Weights for fitting. For data with Gaussian uncertainties, the weights should be 1/sigma.
 rcond
float
, optional Cutoff ratio for small singular values of
a
. Singular values are set to zero if they are smaller thanrcond
times the largest singular value ofa
. equivalencies
list
orNone
, optional, keywordonly List of additional equivalencies that are should be applied in case x, y and/or z have units. Default is None.
 model
 Returns
 model_copy
FittableModel
a copy of the input model with parameters set by the fitter
 model_copy
