diff --git a/docs/source/conf.py b/docs/source/conf.py
index 9a88dd2..05d0dbe 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -127,7 +127,7 @@
     "member-order": "bysource",
     "special-members": "__init__",
     "undoc-members": True,
-    "exclude-members": "__weakref__,set_fit_request,set_transform_request,set_decision_function_request,set_score_request,set_predict_request,Pipeline,FeatureUnion,RuleState,RuleStateError,RuleUnAppliedError,make_pipeline,make_union",
+    "exclude-members": "__weakref__,set_fit_request,set_transform_request,set_decision_function_request,set_score_request,set_predict_request,Pipeline,FeatureUnion,RuleState,RuleStateError,RuleUnAppliedError,make_pipeline,make_union,RFE,RFECV,SelectKBest,SelectFromModel,NumExprDerive",
 }
 
 # # 支持文档格式
diff --git a/docs/source/install.html b/docs/source/install.html
index 7af0862..a639591 100644
--- a/docs/source/install.html
+++ b/docs/source/install.html
@@ -88,7 +88,7 @@
       <div class="row" id="os" style="width: 100%;"></div>
       <div class="row" id="pipy" style="width: 100%;"></div>
       <div class="row" id="line" style="width: 100%;"></div>
-      <div class="row" id="command"><pre></pre></div>
+      <div class="row" id="command"><pre style="width: 100%;"></pre></div>
     </div>
   </div>
   
@@ -100,10 +100,10 @@
     ];
   
     var pipyList = [
+      ['github', '源码'],
+      ['aliyun', '阿里'],
       ['nouse', '纯净'],
       ['office', 'PIPY'],
-      ['github', 'GITHUB'],
-      ['aliyun', '阿里云'],
     ];
 
     var netList = [
diff --git a/scorecardpipeline/rule.py b/scorecardpipeline/rule.py
index b0a9774..ca83f1f 100644
--- a/scorecardpipeline/rule.py
+++ b/scorecardpipeline/rule.py
@@ -160,7 +160,7 @@ def _report_one_rule(data, target, desc='', prior_rules=None):
                 rule_result = pd.DataFrame({rule_expr: np.where(self.predict(temp), "命中", "未命中"), "target": temp[target].tolist()})
             else:
                 prior_tables = pd.DataFrame(columns=return_cols)
-                rule_result = pd.DataFrame({rule_expr: np.where(self.predict(datasets), "命中", "未命中"), "target": data[target].tolist()})
+                rule_result = pd.DataFrame({rule_expr: np.where(self.predict(data), "命中", "未命中"), "target": data[target].tolist()})
 
             combiner = Combiner(target=target)
             combiner.load({rule_expr: [["命中"], ["未命中"]]})