(self)
Order attributes by Relief if there is a target variable. In case of
        ties or without target, order by name.

        Add the class variable at the beginning when not coloring by class
        distribution.

        If `self.attrs` is not `None`, keep the ordering and just add or remove
        the class as needed.
Order attributes by Relief if there is a target variable. In case of
        ties or without target, order by name.
Order attributes by Relief if there is a target variable . In case of ties or without target order by name .
def compute_attr_order(self):
        """
        Order attributes by Relief if there is a target variable. In case of
        ties or without target, order by name.

        Add the class variable at the beginning when not coloring by class
        distribution.

        If `self.attrs` is not `None`, keep the ordering and just add or remove
        the class as needed.
        """
        data = self.master.discrete_data
        class_var = data.domain.class_var
        if not self.attr_ordering:
            if class_var is None:
                self.attr_ordering = sorted(data.domain, key=attrgetter("name"))
            else:
                weights = ReliefF(n_iterations=100, k_nearest=10)(data)
                attrs = sorted(zip(weights, data.domain.attributes),
                               key=lambda x: (-x[0], x[1].name))
                self.attr_ordering = [a for _, a in attrs]
def compute_attr_order ( self ) : data = self . master . discrete_data class_var = data . domain . class_var if not self . attr_ordering : if class_var is None : self . attr_ordering = sorted ( data . domain , key = attrgetter ( "name" ) ) else : weights = ReliefF ( n_iterations = 100 , k_nearest = 10 ) ( data ) attrs = sorted ( zip ( weights , data . domain . attributes ) , key = lambda x : ( - x [ 0 ] , x [ 1 ] . name ) ) self . attr_ordering = [ a for _ , a in attrs ]