Source code for gammapy.utils.fitting.model

# Licensed under a 3-clause BSD style license - see LICENSE.rst
from __future__ import absolute_import, division, print_function, unicode_literals
import copy

__all__ = ["Model"]


[docs]class Model(object): """Model base class.""" # TODO: expose model parameters as attributes
[docs] def copy(self): """A deep copy.""" return copy.deepcopy(self)
def __str__(self): ss = self.__class__.__name__ ss += "\n\nParameters: \n\n\t" table = self.parameters.to_table() ss += "\n\t".join(table.pformat()) if self.parameters.covariance is not None: ss += "\n\nCovariance: \n\n\t" covariance = self.parameters.covariance_to_table() ss += "\n\t".join(covariance.pformat()) return ss