59d32ed0408cb201b3a691064db90c0140a98cce,Orange/widgets/visualize/owtreeviewer.py,OWTreeGraph,toggle_node_color_reg,#OWTreeGraph#,374

Before Change

            for node in self.scene.nodes():
                node.backgroundBrush = brush
        elif self.regression_colors == self.COL_INSTANCE:
            max_insts = model.num_instances(model.root)
            for node in self.scene.nodes():
                node.backgroundBrush = QBrush(def_color.lighter(
                    120 - 20 * model.num_instances(node.node_id) / max_insts))
        elif self.regression_colors == self.COL_MEAN:
            minv = np.nanmin(self.dataset.Y)
            maxv = np.nanmax(self.dataset.Y)
            fact = 1 / (maxv - minv) if minv != maxv else 1
            colors = self.scene.colors
            for node in self.scene.nodes():
                node.backgroundBrush = QBrush(
                    colors[fact * (model.get_value(node.node_id)[0] - minv)])
        else:
            nodes = list(self.scene.nodes())
            variances = [model.get_value(node.node_id)[1] for node in nodes]
            max_var = max(variances)
            for node, var in zip(nodes, variances):
                node.backgroundBrush = QBrush(def_color.lighter(

After Change

            max_insts = len(self.model.instances)
            for node in self.scene.nodes():
                node.backgroundBrush = QBrush(def_color.lighter(
                    120 - 20 * len(node.node_inst.subset) / max_insts))
        elif self.regression_colors == self.COL_MEAN:
            minv = np.nanmin(self.dataset.Y)
            maxv = np.nanmax(self.dataset.Y)

Instances