Fix for ContextMMDDriftTorch typing issue with numpy >=1.22 (#520)

SeldonIO · May 26, 2022 · 32d79cd · 32d79cd
1 parent 4c44e9d
commit 32d79cd
Showing 1 changed file with 2 additions and 2 deletions.
diff --git a/alibi_detect/cd/pytorch/context_aware.py b/alibi_detect/cd/pytorch/context_aware.py
@@ -230,8 +230,8 @@ def _pick_lam(self, lams: torch.Tensor, K: torch.Tensor, L: torch.Tensor, n_fold
         K, L = K[perm][:, perm], L[perm][:, perm]
         losses = torch.zeros_like(lams, dtype=torch.float).to(K.device)
         for fold in range(n_folds):
-            inds_oof = np.arange(n)[(fold*fold_size):((fold+1)*fold_size)]
-            inds_if = np.setdiff1d(np.arange(n), inds_oof)
+            inds_oof = list(np.arange(n)[(fold*fold_size):((fold+1)*fold_size)])
+            inds_if = list(np.setdiff1d(np.arange(n), inds_oof))
             K_if, L_if = K[inds_if][:, inds_if], L[inds_if][:, inds_if]
             n_if = len(K_if)
             L_inv_lams = torch.stack(