print
if VERBOSITY > 1:
print tp.getStats()
# Ensure our predictions are accurate for each sequence
self.assertGreater(tp.getStats()['predictionScoreAvg2'], 0.8)
print ("tp.getStats()['predictionScoreAvg2'] = ",
tp.getStats()['predictionScoreAvg2'])
print "TPConstant basicTest ok"
def testCppTpBasic(self):
self._basicTest(self.cppTp)
def testPyTpBasic(self):
self._basicTest(self.pyTp)
def testIdenticalTps(self):
self.assertTrue(fdrutils.tpDiff2(self.cppTp, self.pyTp))
if __name__=="__main__":
parser = TestOptionParser()
options, _ = parser.parse_args()
SEED = options.seed
VERBOSITY = options.verbosity
np.random.seed(SEED)
unittest.main()
}
state.__setstate__(record)
self.assertEqual(state.ROWID, record['ROWID'])
self.assertEqual(state.anomalyScore, record['anomalyScore'])
self.assertEqual(state.anomalyVector, record['anomalyVector'])
self.assertEqual(state.anomalyLabel, record['anomalyLabel'])
self.assertEqual(state.setByUser, record['setByUser'])
def mockRemoveIds(self, ids):
self.helper.clamodel._getAnomalyClassifier().getSelf()._knn._numPatterns -= len(ids)
for idx in ids:
if idx in self.helper.clamodel._getAnomalyClassifier().getSelf().getParameter('categoryRecencyList'):
self.helper.clamodel._getAnomalyClassifier().getSelf().getParameter('categoryRecencyList').remove(idx)
if __name__ == '__main__':
parser = TestOptionParser()
options, args = parser.parse_args()
# Form the command line for the unit test framework
args = [sys.argv[0]] + args
unittest.main(argv=args)
print
if VERBOSITY > 1:
print tp.getStats()
# Ensure our predictions are accurate for each sequence
self.assertGreater(tp.getStats()['predictionScoreAvg2'], 0.8)
print("tp.getStats()['predictionScoreAvg2'] = ",
tp.getStats()['predictionScoreAvg2'])
print "TPConstant basicTest ok"
def testCppTpBasic(self):
self._basicTest(self.cppTp)
def testPyTpBasic(self):
self._basicTest(self.pyTp)
def testIdenticalTps(self):
self.assertTrue(fdrutils.tpDiff2(self.cppTp, self.pyTp))
if __name__ == "__main__":
parser = TestOptionParser()
options, _ = parser.parse_args()
SEED = options.seed
VERBOSITY = options.verbosity
np.random.seed(SEED)
unittest.main()
