diff --git a/analytics/detectors/general_detector/__init__.py b/analytics/detectors/general_detector/__init__.py
new file mode 100644
index 0000000..f5dd540
--- /dev/null
+++ b/analytics/detectors/general_detector/__init__.py
@@ -0,0 +1 @@
+from detectors.general_detector.general_detector import GeneralDetector
\ No newline at end of file
diff --git a/analytics/detectors/general_detector.py b/analytics/detectors/general_detector/general_detector.py
similarity index 97%
rename from analytics/detectors/general_detector.py
rename to analytics/detectors/general_detector/general_detector.py
index 2307ab6..bb29d6d 100644
--- a/analytics/detectors/general_detector.py
+++ b/analytics/detectors/general_detector/general_detector.py
@@ -1,3 +1,4 @@
+from detectors.general_detector.supervised_algorithm import SupervisedAlgorithm
 import utils
 from grafana_data_provider import GrafanaDataProvider
 from data_preprocessor import data_preprocessor
@@ -9,6 +10,7 @@ import os.path
 import json
 
 
+
 NANOSECONDS_IN_MS = 1000000
 
 logger = logging.getLogger('analytic_toolset')
@@ -120,8 +122,7 @@ class GeneralDetector:
             return json.load(file)
 
     def create_algorithm(self):
-        from supervised_algorithm import supervised_algorithm
-        return supervised_algorithm()
+        return SupervisedAlgorithm()
 
     def __save_model(self):
         logger.info("Save model '%s'" % self.anomaly_name)
diff --git a/analytics/supervised_algorithm.py b/analytics/detectors/general_detector/supervised_algorithm.py
similarity index 97%
rename from analytics/supervised_algorithm.py
rename to analytics/detectors/general_detector/supervised_algorithm.py
index 8217b80..1d64ca0 100644
--- a/analytics/supervised_algorithm.py
+++ b/analytics/detectors/general_detector/supervised_algorithm.py
@@ -4,10 +4,8 @@ from sklearn.preprocessing import MinMaxScaler
 from sklearn.ensemble import IsolationForest
 import pandas as pd
 
-from sklearn import svm
 
-
-class supervised_algorithm(object):
+class SupervisedAlgorithm(object):
     frame_size = 16
     good_features = [
         #"value__agg_linear_trend__f_agg_\"max\"__chunk_len_5__attr_\"intercept\"",