How to use the gekko.gk_parameter.GK_MV function in gekko

d = var_dict.copy()
                    d['name'] = var + '(Tr)'
                    self.gekko_data['vars']['variables'].append(d) 
                if main_dict[var].name + '.bcv' in self.results:
                    d1 = var_dict.copy()
                    d1['name'] = var + '_hist(bias)'
                    self.gekko_data['vars']['variables'].append(d1)
                    d2 = var_dict.copy()
                    d2['name'] = var + '_hist(nobias)'
                    self.gekko_data['vars']['variables'].append(d2)
                    d3 = var_dict.copy()
                    d3['name'] = var + '(nobias)'
                    self.gekko_data['vars']['variables'].append(d3)
            elif isinstance(main_dict[var], GKParameter):
                self.gekko_data['vars']['parameters'].append(var_dict)
                if isinstance(main_dict[var], (GK_MV, GK_FV)):
                    d = var_dict.copy()
                    d['name'] = var + '_hist'
                    self.gekko_data['vars']['parameters'].append(d)
            elif isinstance(main_dict[var], GK_Intermediate):
                self.gekko_data['vars']['intermediates'].append(var_dict)

        # Update the variable if the data has been loaded before
        data = False
        if isinstance(main_dict[var], GKVariable):
            self.get_variable_fron_main(var)
            return
        elif isinstance(main_dict[var], GKParameter):
            self.get_parameter_from_main(var)
            return
        elif isinstance(main_dict[var], GK_Intermediate):
            data = list(filter(lambda d: d['name'] == var, self.gekko_data['vars']['intermediates']))[0]

def MV(self, value=None, lb=None, ub=None, integer=False, fixed_initial=True, name=None):
        """Change these variables optimally to meet objectives"""
        if name is not None:
            name = re.sub(r'\W+', '_', name).lower()
        else:
            name = 'p' + str(len(self._parameters) + 1)
        if integer == True:
            name = 'int_'+name

        parameter = GK_MV(name=name, value=value, lb=lb, ub=ub, gk_model=self._model_name, model_path=self._path, integer=integer)
        self._parameters.append(parameter)
        if fixed_initial is False:
            self.Connection(parameter,'calculated',pos1=1,node1=1)
        return parameter