Move namefinder.py to namefinder folder
diff --git a/tf-ner-poc/src/main/python/namefinder.py b/tf-ner-poc/src/main/python/namefinder/namefinder.py
similarity index 99%
rename from tf-ner-poc/src/main/python/namefinder.py
rename to tf-ner-poc/src/main/python/namefinder/namefinder.py
index 5a15064..8ad2335 100644
--- a/tf-ner-poc/src/main/python/namefinder.py
+++ b/tf-ner-poc/src/main/python/namefinder/namefinder.py
@@ -103,6 +103,8 @@
vector = 0
if word_dict.get(token) is not None:
vector = word_dict[token]
+ else:
+ vector = word_dict['__UNK__']
sentence.append(vector)
@@ -348,7 +350,7 @@
print("Usage namefinder.py embedding_file train_file dev_file test_file")
return
- name_finder = NameFinder(300)
+ name_finder = NameFinder(100)
word_dict, rev_word_dict, embeddings = name_finder.load_glove(sys.argv[1])
sentences, labels, char_set = name_finder.load_data(word_dict, sys.argv[2])
@@ -423,8 +425,6 @@
f1 = 2 * p * r / (p + r) if correct_preds > 0 else 0
acc = np.mean(accs)
- print("ACC " + str(acc))
- print("F1 " + str(f1) + " P " + str(p) + " R " + str(r))
if (f1 > best_f1):
best_f1 = f1
@@ -436,6 +436,9 @@
else:
no_improvement += 1
+ print("ACC " + str(acc))
+ print("F1 " + str(f1) + " P " + str(p) + " R " + str(r))
+
if no_improvement > 5:
print("No further improvement. Stopping.")
break
