multilabel QUIRE speed up a bit

Author: yangarbiter

libact/query_strategies/multilabel/multilabel_quire.py

@@ -97,6 +97,7 @@ def __init__(self, dataset, lamba=1.0, kernel='rbf', gamma=1., coef0=1.,
 
         self.random_state_ = seed_random_state(random_state)
 
+    @profile
     @inherit_docstring_from(QueryStrategy)
     def make_query(self):
         dataset = self.dataset
@@ -120,24 +121,21 @@ def make_query(self):
         R = np.nan_to_num(R)
 
         L = lamba * (np.linalg.pinv(np.kron(R, K) + lamba * np.eye(n*m)))
-        inv_L = np.linalg.pinv(L)
 
         vecY = np.reshape(np.array([y for y in Y if y is not None]), (-1, 1))
         invLuu = np.linalg.pinv(L[np.ix_(u, u)])
 
         score = np.zeros((n, m))
+        vYLllvY = np.dot(np.dot(vecY.T, L[np.ix_(l, l)]), vecY)[0, 0]
+        U = np.dot(L[np.ix_(u, l)], vecY)
+        temp0 = -(np.dot(np.dot(U.T, invLuu), U))[0, 0]
         for a in range(n):
             for b in range(m):
                 s = b*n + a
-                U = np.dot(L[np.ix_(u, l)], vecY) + L[np.ix_(u, [s])]
-                temp1 = 2 * np.dot(L[[s], l], vecY) \
-                        - np.dot(np.dot(U.T, invLuu), U)
-                U = np.dot(L[np.ix_(u, l)], vecY)
-                temp0 = -(np.dot(np.dot(U.T, invLuu), U))
-                score[a, b] = L[s, s] \
-                              + np.dot(np.dot(vecY.T, L[np.ix_(l, l)]),
-                                       vecY)[0, 0]\
-                              + np.max((temp1[0, 0], temp0[0, 0]))
+                tU = U + L[np.ix_(u, [s])]
+                temp1 = (2 * np.dot(L[[s], l], vecY) \
+                         - np.dot(np.dot(tU.T, invLuu), tU))[0, 0]
+                score[a, b] = L[s, s] + vYLllvY + np.max((temp1, temp0))
 
         score = np.sum(score, axis=1)