FitResults¶
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class
sherpa.fit.
FitResults
(fit, results, init_stat, param_warnings)[source] [edit on github]¶ Bases:
sherpa.utils.NoNewAttributesAfterInit
The results of a fit.
This object contains the parameter values, information on the statistic and optimisation-method used, and other relevant information.
Changed in version 4.10.1: The
covarerr
attribute has been renamed tocovar
and now contains the covariance matrix estimated at the best-fit location, if provided by the optimiser.-
datasets
¶ A sequence of the data set ids included in the results.
Type: sequence of int or str, or None
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itermethodname
¶ What iterated-fit scheme was used, if any.
Type: str or None
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methodname
¶ The name of the optimisation method used (in lower case).
Type: str
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statname
¶ The name of the statistic function.
Type: str
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succeeded
¶ Was the fit successful (did it converge)?
Type: bool
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parnames
¶ the parameter names that were varied in the fit (the thawed parameters in the model expression).
Type: tuple of str
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parvals
¶ The parameter values, in the same order as parnames.
Type: tuple of number
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statval
¶ The statistic value after the fit.
Type: number
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istatval
¶ The statistic value at the start of the fit.
Type: number
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dstatval
¶ The change in the statistic value (istatval - statval).
Type: number
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numpoints
¶ The number of bins used in the fits.
Type: int
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dof
¶ The number of degrees of freedom in the fit (the number of bins minus the number of free parameters).
Type: int
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qval
¶ The Q-value (probability) that one would observe the reduced statistic value, or a larger value, if the assumed model is true and the current model parameters are the true parameter values. This will be None if the value can not be calculated with the current statistic (e.g. the Cash statistic).
Type: number or None
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rstat
¶ The reduced statistic value (the statval field divided by dof). This is not calculated for all statistics.
Type: number or None
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message
¶ A message about the results of the fit (e.g. if the fit was unable to converge). The format and contents depend on the optimisation method.
Type: str
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nfev
¶ The number of model evaluations made during the fit.
Type: int
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extra_output
¶ The
extra_output
field from the fit.
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covar
¶ The covariance matrix from the best-fit location, if provided by the optimiser.
Type: tuple or None
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modelvals
¶ The values of the best-fit model evaluated for the data.
Type: NumPy array
Methods Summary
format
()Return a string representation of the fit results. Methods Documentation
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format
()[source] [edit on github]¶ Return a string representation of the fit results.
Returns: txt – A multi-line representation of the fit results. Return type: str
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