class ConvergedOutlierDetector:
def __init__(self, vectors, outz=3.):
self.vectors = vectors
self.filteredVec = vectors
self.outz = outz
self.trainConvergedDetector()
def trainConvergedDetector(self):
numVecs = len(self.filteredVec)
converged = False
i = 0
while not converged:
outdetect = OutlierDetector()
outdetect.importVectors(self.filteredVec)
insider = lambda vec: outdetect.isOutlier(vec,
stdThreshold=self.outz)
self.filteredVec = filter(insider, self.filteredVec)
if numVecs == len(self.filteredVec):
converged = True
numVecs = len(self.filteredVec)
i += 1
#print 'Train ', i, ' # vectors = ', len(self.filteredVec)
self.outDetect = OutlierDetector()
self.outDetect.importVectors(self.filteredVec)
def transformVec(self, vector):
return self.outDetect.transformVec(vector)
def normalizeVec(self, vector):
return self.outDetect.normalizeVec(vector)
def isOutlier(self, vector):
return self.outDetect.isOutlier(vector, stdThreshold=self.outz)
class ConvergedOutlierDetector:
def __init__(self, vectors, outz=3.):
self.vectors = vectors
self.filteredVec = vectors
self.outz = outz
self.trainConvergedDetector()
def trainConvergedDetector(self):
numVecs = len(self.filteredVec)
converged = False
i = 0
while not converged:
outdetect = OutlierDetector()
outdetect.importVectors(self.filteredVec)
insider = lambda vec: outdetect.isOutlier(vec,
stdThreshold=self.outz)
self.filteredVec = filter(insider, self.filteredVec)
if numVecs == len(self.filteredVec):
converged = True
numVecs = len(self.filteredVec)
i += 1
#print 'Train ', i, ' # vectors = ', len(self.filteredVec)
self.outDetect = OutlierDetector()
self.outDetect.importVectors(self.filteredVec)
def transformVec(self, vector):
return self.outDetect.transformVec(vector)
def normalizeVec(self, vector):
return self.outDetect.normalizeVec(vector)
def isOutlier(self, vector):
return self.outDetect.isOutlier(vector, stdThreshold=self.outz)
def trainConvergedDetector(self):
numVecs = len(self.filteredVec)
converged = False
i = 0
while not converged:
outdetect = OutlierDetector()
outdetect.importVectors(self.filteredVec)
insider = lambda vec: outdetect.isOutlier(vec,
stdThreshold=self.outz)
self.filteredVec = filter(insider, self.filteredVec)
if numVecs == len(self.filteredVec):
converged = True
numVecs = len(self.filteredVec)
i += 1
#print 'Train ', i, ' # vectors = ', len(self.filteredVec)
self.outDetect = OutlierDetector()
self.outDetect.importVectors(self.filteredVec)
def trainConvergedDetector(self):
numVecs = len(self.filteredVec)
converged = False
i = 0
while not converged:
outdetect = OutlierDetector()
outdetect.importVectors(self.filteredVec)
insider = lambda vec: outdetect.isOutlier(vec,
stdThreshold=self.outz)
self.filteredVec = filter(insider, self.filteredVec)
if numVecs == len(self.filteredVec):
converged = True
numVecs = len(self.filteredVec)
i += 1
#print 'Train ', i, ' # vectors = ', len(self.filteredVec)
self.outDetect = OutlierDetector()
self.outDetect.importVectors(self.filteredVec)