def setUp(self):
self.params = dict(trainRecords=10,
anomalyThreshold=1.1,
cacheSize=10000,
k=1,
distanceMethod='rawOverlap',
distanceNorm=1,
doBinarization=1,
replaceDuplicates=0,
maxStoredPatterns=1000)
self.helper = KNNAnomalyClassifierRegion(**self.params)
def testInit(self):
params = dict(trainRecords=100,
anomalyThreshold=101,
cacheSize=102,
classificationVectorType=1,
k=1,
distanceMethod='rawOverlap',
distanceNorm=1,
doBinarization=1,
replaceDuplicates=0,
maxStoredPatterns=1000)
helper = KNNAnomalyClassifierRegion(**params)
self.assertEqual(helper.trainRecords, params['trainRecords'])
self.assertEqual(helper.anomalyThreshold, params['anomalyThreshold'])
self.assertEqual(helper.cacheSize, params['cacheSize'])
self.assertEqual(helper.classificationVectorType,
params['classificationVectorType'])
