update

Author: bob7783

nlp_class2/tfidf_tsne.py

@@ -45,7 +45,7 @@ def main():
         for w in word_list:
             if w not in word2idx:
                 print("%s not found in vocab, remove it from \
-                    analogies to try or increase vocab size")
+                    analogies to try or increase vocab size" % w)
                 notfound = True
     if notfound:
         exit()
@@ -57,6 +57,7 @@ def main():
 
     # create raw counts first
     A = np.zeros((V, N))
+    print("V:", V, "N:", N)
     j = 0
     for sentence in sentences:
         for i in sentence: