make sampler to choose only sequenced items + write results

main.py

     args.add_argument("-m", "--margin", default=1, type=float)
     args.add_argument("-p", "--dropout_p", default=0.5, type=float)
 
-    args.add_argument("-gpu", "--device", default=1, type=int)
+    args.add_argument("-gpu", "--device", default=0, type=int)
 
 
     args = args.parse_args()

sampler.py

 def sample_function_mixed(user_train, usernum, itemnum, batch_size, maxlen, result_queue, SEED):
     def sample():
 
-        if random.random()<0.5:
+        if random.random()<=1:
             user = np.random.randint(1, usernum + 1)
             while len(user_train[user]) <= 1: user = np.random.randint(1, usernum + 1)
 

trainer.py

 
         
         if istest:
-                print("TEST: \tMRR: {:.3f}\tNDCG@10: {:.3f}\tNDCG@5: {:.3f}\tNDCG@1: {:.3f}\tHits@10: {:.3f}\tHits@5: {:.3f}\tHits@1: {:.3f}\r".format(
+            print("TEST: \tMRR: {:.3f}\tNDCG@10: {:.3f}\tNDCG@5: {:.3f}\tNDCG@1: {:.3f}\tHits@10: {:.3f}\tHits@5: {:.3f}\tHits@1: {:.3f}\r".format(
+                    temp['MRR'], temp['NDCG@10'], temp['NDCG@5'], temp['NDCG@1'], temp['Hits@10'], temp['Hits@5'], temp['Hits@1']),"\n")
+            with open('results.txt', 'a') as f:
+                f.writelines("TEST: \tMRR: {:.3f}\tNDCG@10: {:.3f}\tNDCG@5: {:.3f}\tNDCG@1: {:.3f}\tHits@10: {:.3f}\tHits@5: {:.3f}\tHits@1: {:.3f}\r\n\n".format(
                     temp['MRR'], temp['NDCG@10'], temp['NDCG@5'], temp['NDCG@1'], temp['Hits@10'], temp['Hits@5'], temp['Hits@1']))
         else:
             print("VALID: \tMRR: {:.3f}\tNDCG@10: {:.3f}\tNDCG@5: {:.3f}\tNDCG@1: {:.3f}\tHits@10: {:.3f}\tHits@5: {:.3f}\tHits@1: {:.3f}\r".format(
                     temp['MRR'], temp['NDCG@10'], temp['NDCG@5'], temp['NDCG@1'], temp['Hits@10'], temp['Hits@5'], temp['Hits@1']))
+            with open("results.txt",'a') as f:
+                f.writelines("VALID: \tMRR: {:.3f}\tNDCG@10: {:.3f}\tNDCG@5: {:.3f}\tNDCG@1: {:.3f}\tHits@10: {:.3f}\tHits@5: {:.3f}\tHits@1: {:.3f}\r".format(
+                    temp['MRR'], temp['NDCG@10'], temp['NDCG@5'], temp['NDCG@1'], temp['Hits@10'], temp['Hits@5'], temp['Hits@1']))
 
         return data