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Author: fabioferreira

cde/model_fitting/divergences.py

@@ -98,11 +98,11 @@ def _div(x_tiled, y_samples):
   for i in range(x_cond.shape[0]):
     x = np.tile(x_cond[i].reshape((1, x_cond[i].shape[0])), (n_samples, 1))
     func = lambda y: _make_2d(_div(x, y))
-        result = mc_integration_student_t(func, q.ndim_y, n_samples=n_samples, loc_proposal=mu_proposal, scale_proposal=std_proposal)
-        if n_measures == 1:
-            distances[i] = result.reshape(-1)[0]
-        else:
-            distances[i] = result
+    result = mc_integration_student_t(func, q.ndim_y, n_samples=n_samples, loc_proposal=mu_proposal, scale_proposal=std_proposal)
+    if n_measures == 1:
+        distances[i] = result.reshape(-1)[0]
+    else:
+        distances[i] = result
   assert distances.shape[0] == x_cond.shape[0]
   return distances