Update issue templates

.github/ISSUE_TEMPLATE/bug_report.md

@@ -20,6 +20,7 @@ Steps to reproduce the behavior:
 **Operating environment(运行环境):**
  - python version [e.g. 3.4, 3.6]
  - tensorflow version [e.g. 1.4.0, 1.12.0]
+ - deepctr version [e.g. 0.2.3,]
 
 **Additional context**
 Add any other context about the problem here.

.github/ISSUE_TEMPLATE/question.md

@@ -8,7 +8,12 @@ assignees: ''
 ---
 
 **Describe the question(问题描述)**
-A clear and concise description of what the bug is.
+A clear and concise description of what the question is.
 
 **Additional context**
 Add any other context about the problem here.
+
+**Operating environment(运行环境):**
+ - python version [e.g. 3.4, 3.6]
+ - tensorflow version [e.g. 1.4.0, 1.12.0]
+ - deepctr version [e.g. 0.2.3,]

examples/run_regression_movielens.py

@@ -3,7 +3,7 @@
 from sklearn.model_selection import train_test_split
 from sklearn.metrics import mean_squared_error
 from deepctr.models import DeepFM
-from deepctr import VarLenFeat,SingleFeat
+from deepctr import SingleFeat
 
 if __name__ == "__main__":
 
@@ -17,7 +17,8 @@
         lbe = LabelEncoder()
         data[feat] = lbe.fit_transform(data[feat])
     # 2.count #unique features for each sparse field
-    sparse_feat_list = [SingleFeat(feat,data[feat].nunique()) for feat in sparse_features]
+    sparse_feat_list = [SingleFeat(feat, data[feat].nunique())
+                        for feat in sparse_features]
 
     # 3.generate input data for model
     train, test = train_test_split(data, test_size=0.2)