FitResult#

class gammapy.modeling.FitResult(optimize_result=None, covariance_result=None)[source]#

Fit result class.

The fit result class provides the results from the optimisation and covariance of the fit.

Parameters:

Attributes Summary

`backend`	Optimizer backend used for the fit.
`covariance_result`	Optimize result.
`message`	Optimizer status message.
`method`	Optimizer method used for the fit.
`minuit`	Minuit object.
`models`	Best fit parameters of the optimization step.
`nfev`	Number of function evaluations of the optimisation step.
`optimize_result`	Optimize result.
`parameters`	Best fit parameters of the optimization step.
`success`	Total success flag.
`total_stat`	Total stat of the optimization step.
`trace`	Parameter trace of the optimisation step.

Methods Summary

write(path[, overwrite, full_output, ...])

Write to file.

Attributes Documentation

Methods Documentation

write(path, overwrite=False, full_output=True, overwrite_templates=False, write_covariance=True, checksum=False)[source]#

Write to file.

Parameters:

pathpathlib.Path or str: Path to write files.
overwritebool, optional: Overwrite existing file. Default is False.
full_outputbool, optional: Store full parameter output. Default is True.
overwrite_templatesbool, optional: Overwrite templates FITS files. Default is False.
checksumbool, optional: When True adds a CHECKSUM entry to the file. Default is False.