add grid search

main.py

@@ -675,8 +675,14 @@ if __name__ == "__main__":
             else:
                 neg_ent = neg_ent.cpu()
 
-            dataset = np.stack([sub.cpu(), rel.cpu(), neg_ent, np.repeat(model.p.train_strategy, repeats=len(sub))], axis = 1)
-            search = grid.fit(dataset, label)
+            inputs = []
+            for i in len(sub):
+                input = {}
+                input['sub'] = sub[i]
+                input['rel'] = rel[i]
+                input['neg_ents'] = neg_ent[i]
+                inputs.append(input)
+            search = grid.fit(inputs, label)
             print("BEST SCORE: ", search.best_score_)
             print("BEST PARAMS: ", search.best_params_)
     if (args.test_only):