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					@ -3,6 +3,7 @@
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					"""
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					from __future__ import division
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					import numpy as np
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					from sklearn import linear_model
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					from threading import Thread,RLock
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					from utils.transport import *
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					from utils.ml import AnomalyDetection,ML
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					@ -13,10 +14,17 @@ class BaseLearner(Thread):
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							Thread.__init__(self)
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							path = PARAMS['path']
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							self.name = self.__class__.__name__.lower()
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							self.rclass= None
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							self.wclass= None
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							self.rw_args=None
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							if os.path.exists(path) :
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								f = open(path)
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								self.config = json.loads(f.read())
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								f.close()
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								self.rclass	= self.config['store']['class']['read']
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								self.wclass	= self.config['store']['class']['write']		
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								self.rw_args	= self.config['store']['args']
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							else:
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								self.config = None
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							self.lock = lock
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					@ -98,7 +106,7 @@ class Anomalies(BaseLearner) :
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					"""		
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					class Regression(BaseLearner):
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						def __init__(self,lock):
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							BaseLearner.__init__(self)
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							BaseLearner.__init__(self,lock)
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							self.folders 	= self.config['folders']
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							self.id 	= self.config['id']
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						def run(self):
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					@ -109,7 +117,12 @@ class Regression(BaseLearner):
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								data = ML.Filter('id',self.id,data['folders'])
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								xo  	= ML.Extract(['date'],data)
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								yo	= ML.Extract(['count'],data)
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								numpy.linalg.lstsq(xo, yo, rcond=-1)
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								pass
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								# print np.var(xo,yo)
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