STAB: Alternative features

src/python/miplearn/problems/stab.py

@@ -112,10 +112,21 @@ class MaxWeightStableSetInstance(Instance):
         return model
     
     def get_instance_features(self):
-        return np.array(self.weights)
+        return np.ones(0)
 
     def get_variable_features(self, var, index):
-        return np.ones(0)
+        neighbor_weights = [0] * 15
+        neighbor_degrees = [100] * 15
+        for n in self.graph.neighbors(index):
+            neighbor_weights += [self.weights[n] / self.weights[index]]
+            neighbor_degrees += [self.graph.degree(n) / self.graph.degree(index)]
+        neighbor_weights.sort(reverse=True)
+        neighbor_degrees.sort()
+        features = []
+        features += neighbor_weights[:5]
+        features += neighbor_degrees[:5]
+        features += [self.graph.degree(index)]
+        return np.array(features)
 
     def get_variable_category(self, var, index):
-        return index
+        return "default"