docs/install.md

@@ -198,6 +198,5 @@ docker ps
 查看三个容器（metis-db、metis-web、metis-svr）启动状态，如正常启动，则安装成功。
 ![docker_ps](images/docker_ps.png)
 如安装成功，可以通过浏览器直接访问: `http://${IP}`
-注意：Metis依赖80和8080端口，腾讯云服务器默认开通了80但没有开通8080的外网访问权限，需要手动在安全组中增加对8080端口的放通。
 
-请参考API使用说明进行API调用 
+请参考API使用说明进行API调用

time_series_detector/common/tsd_common.py

@@ -90,7 +90,6 @@ def normalize_time_series_by_max_min(split_time_series):
     time_series = split_time_series[0] + split_time_series[1][1:] + split_time_series[2] + split_time_series[3][1:] + split_time_series[4]
     max_value = np.max(time_series)
     min_value = np.min(time_series)
-    normalized_time_series = [0.0]*len(time_series)
     if max_value - min_value > 0:
         normalized_time_series = list((np.array(time_series) - min_value) / float(max_value - min_value))
 

time_series_detector/detect.py

@@ -90,7 +90,8 @@ class Detect(object):
         statistic_result = self.statistic_obj.predict(time_series)
         ewma_result = self.ewma_obj.predict(time_series)
         polynomial_result = self.polynomial_obj.predict(time_series, window)
-        if statistic_result == 0 or ewma_result == 0 or polynomial_result == 0 :
+        iforest_result = self.iforest_obj.predict(time_series, window)
+        if statistic_result == 0 or ewma_result == 0 or polynomial_result == 0 or iforest_result == 0:
             xgb_result = self.supervised_obj.predict(time_series, window, model_name)
             res_value = xgb_result[0]
             prob = xgb_result[1]