epidemioptim/environments/models/heffernan_ode_model_16.py
def _sample_model_params(self):
        """
        Samples parameters of the model from their distribution (Dirac distributions if self.stochastic is False).

        """
        self.initial_internal_params = dict()
        for k in self._all_internal_params_distribs['0-4'].keys():
            self.initial_internal_params[k] = self._all_internal_params_distribs['0-4'][k]
        self._reset_model_params()

        Samples parameters of the model from their distribution (Dirac distributions if self.stochastic is False).

        
Samples parameters of the model from their distribution (Dirac distributions if self.stochastic is False).
Samples parameters of the model from their distribution ( Dirac distributions if self . stochastic is False ) .
def _sample_model_params(self):
        self.initial_internal_params = dict()
        for k in self._all_internal_params_distribs['0-4'].keys():
            self.initial_internal_params[k] = self._all_internal_params_distribs['0-4'][k]
        self._reset_model_params()
def _sample_model_params ( self ) : self . initial_internal_params = dict ( ) for k in self . _all_internal_params_distribs [ '0-4' ] . keys ( ) : self . initial_internal_params [ k ] = self . _all_internal_params_distribs [ '0-4' ] [ k ] self . _reset_model_params ( )
Samples parameters of the model from their distribution (Dirac distributions if self.stochastic is False).
Samples parameters of the model from their distribution ( Dirac distributions if self . stochastic is False ) .
"""
        Samples parameters of the model from their distribution (Dirac distributions if self.stochastic is False).

        """
self