0.2.6 优化模块的输出

Cyberbolt · Feb 21, 2021 · cdf39c2 · cdf39c2
1 parent 98c332d
commit cdf39c2
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Showing 7 changed files with 12 additions and 6 deletions.
diff --git a/Cemotion-apple/README.md b/Cemotion-apple/README.md
@@ -61,8 +61,10 @@ text mode
 ```
 #使用列表进行批量分析
 from cemotion import Cemotion
+
 list_text = ['内饰蛮年轻的，而且看上去质感都蛮好，貌似本田所有车都有点相似，满高档的！',
 '总而言之，是一家不会再去的店。']
+
 c = Cemotion()
 print(c.predict(list_text))
 ```

diff --git a/Cemotion-apple/cemotion/app.py b/Cemotion-apple/cemotion/app.py
@@ -43,7 +43,7 @@ def __init__(self):
     def predict(self, text):
         #输入内容为文字时 返回 正负概率
         if type(text) == type('text mode'):
-            print('text mode')
+            # print('text mode')
             list_text = [text] #将文本转为列表
             #获取预测值  预测一个值时使用predict_on_batch
             prediction = self.__rnn.predict_on_batch(self.__dataset.data_to_train(list_text))[0][0]
@@ -56,7 +56,7 @@ def predict(self, text):
             if type(text) == type(np.array(['list mode'])):
                 text = text.tolist()
 
-            print('list mode')
+            # print('list mode')
             list_text = text
             prediction = self.__rnn.predict(self.__dataset.data_to_train(list_text))
 

diff --git a/Cemotion-apple/setup.py b/Cemotion-apple/setup.py
@@ -6,7 +6,7 @@
 
 setuptools.setup(
     name="Cemotion-apple",
-    version="0.2.5",
+    version="0.2.6",
     author="Cyberbolt",
     author_email="[email protected]",
     description="基于NLP的中文情感倾向分析库",

diff --git a/Cemotion/README.md b/Cemotion/README.md
@@ -70,8 +70,10 @@ text mode
 ```
 #使用列表进行批量分析
 from cemotion import Cemotion
+
 list_text = ['内饰蛮年轻的，而且看上去质感都蛮好，貌似本田所有车都有点相似，满高档的！',
 '总而言之，是一家不会再去的店。']
+
 c = Cemotion()
 print(c.predict(list_text))
 ```

diff --git a/Cemotion/cemotion/app.py b/Cemotion/cemotion/app.py
@@ -43,7 +43,7 @@ def __init__(self):
     def predict(self, text):
         #输入内容为文字时 返回 正负概率
         if type(text) == type('text mode'):
-            print('text mode')
+            # print('text mode')
             list_text = [text] #将文本转为列表
             #获取预测值  预测一个值时使用predict_on_batch
             prediction = self.__rnn.predict_on_batch(self.__dataset.data_to_train(list_text))[0][0]
@@ -56,7 +56,7 @@ def predict(self, text):
             if type(text) == type(np.array(['list mode'])):
                 text = text.tolist()
 
-            print('list mode')
+            # print('list mode')
             list_text = text
             prediction = self.__rnn.predict(self.__dataset.data_to_train(list_text))
 

diff --git a/Cemotion/setup.py b/Cemotion/setup.py
@@ -6,7 +6,7 @@
 
 setuptools.setup(
     name="Cemotion",
-    version="0.2.5",
+    version="0.2.6",
     author="Cyberbolt",
     author_email="[email protected]",
     description="基于NLP的中文情感倾向分析库",

diff --git a/README.md b/README.md
@@ -70,8 +70,10 @@ text mode
 ```
 #使用列表进行批量分析
 from cemotion import Cemotion
+
 list_text = ['内饰蛮年轻的，而且看上去质感都蛮好，貌似本田所有车都有点相似，满高档的！',
 '总而言之，是一家不会再去的店。']
+
 c = Cemotion()
 print(c.predict(list_text))
 ```