move supervised_algorithm.py -> detectors/general_detector/ folder

analytics/detectors/general_detector/__init__.py

@@ -0,0 +1 @@
+from detectors.general_detector.general_detector import GeneralDetector

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)

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\"",