(self, str_or_buffer=None)
return yamlio.convert_to_yaml(self.to_dict(), str_or_buffer)
Save a model respresentation to YAML.

        Parameters
        ----------
        str_or_buffer : str or file like, optional
            By default a YAML string is returned. If a string is
            given here the YAML will be written to that file.
            If an object with a ``.write`` method is given the
            YAML will be written to that object.

        Returns
        -------
        j : str
            YAML is string if `str_or_buffer` is not given.
Save a model respresentation to YAML.
Save a model respresentation to YAML .
def to_yaml(self, str_or_buffer=None):
        """
        Save a model respresentation to YAML.

        Parameters
        ----------
        str_or_buffer : str or file like, optional
            By default a YAML string is returned. If a string is
            given here the YAML will be written to that file.
            If an object with a ``.write`` method is given the
            YAML will be written to that object.

        Returns
        -------
        j : str
            YAML is string if `str_or_buffer` is not given.

        """
        logger.debug('serializing LCM model {} to YAML'.format(self.name))
        if (not isinstance(self.probability_mode, str) or
                not isinstance(self.choice_mode, str)):
            raise TypeError(
                'Cannot serialize model with non-string probability_mode '
                'or choice_mode attributes.')
        return yamlio.convert_to_yaml(self.to_dict(), str_or_buffer)
def to_yaml ( self , str_or_buffer = None ) : logger . debug ( 'serializing LCM model {} to YAML' . format ( self . name ) ) if ( not isinstance ( self . probability_mode , str ) or not isinstance ( self . choice_mode , str ) ) : raise TypeError ( 'Cannot serialize model with non-string probability_mode ' 'or choice_mode attributes.' ) return yamlio . convert_to_yaml ( self . to_dict ( ) , str_or_buffer )