coherence averages debug

app.py

@@ -274,12 +274,16 @@ def full_lda(df):
         training_corpus = corpus_split
         training_corpus.remove(training_corpus[i])
         # print(training_corpus[i])
-        model_list, coherence_values = compute_coherence_values_base_lda(dictionary=id2word, corpus=training_corpus,
+        print(training_corpus)
+        model_list, coherence_values = compute_coherence_values_base_lda(dictionary=id2word, 
+                                                            corpus=training_corpus,
                                                             texts=df['lemma_tokens'],
                                                             start=2,
                                                             limit=10,
                                                             step=1,
-                                                            coherence=coherence)
+                                                            coherence='c_v')
+        print(model_list + str(i))
+        print(coherence_values + str(i))
         for j in range(len(coherence_values)):
             coherence_averages[j] += coherence_values[j]