def testGetAggregationFunction(self): aggFunc = param_finder._getAggregationFunction(numpy.random.rand(100, 1)) self.assertEqual(aggFunc, "mean") # use sum aggregation for binary data aggFunc = param_finder._getAggregationFunction(numpy.ones((100, 1))) self.assertEqual(aggFunc, "sum")
def testGetAggregationFunction(self): aggFunc = param_finder._getAggregationFunction( numpy.random.rand(100, 1)) self.assertEqual(aggFunc, 'mean') # use sum aggregation for binary data aggFunc = param_finder._getAggregationFunction(numpy.ones((100, 1))) self.assertEqual(aggFunc, 'sum')
def testGetAggregationFunction(self): aggFunc = param_finder._getAggregationFunction(numpy.timedelta64(300, 's'), numpy.timedelta64(0, 's')) self.assertEqual(aggFunc, 'mean') aggFunc = param_finder._getAggregationFunction(numpy.timedelta64(300, 's'), numpy.timedelta64(100, 's')) self.assertEqual(aggFunc, 'sum')
def testGetAggregationFunction(self): aggFunc = param_finder._getAggregationFunction( numpy.timedelta64(300, 's'), numpy.timedelta64(0, 's'), aggregationFuncThresh=0.2) self.assertEqual(aggFunc, 'mean') aggFunc = param_finder._getAggregationFunction( numpy.timedelta64(300, 's'), numpy.timedelta64(100, 's'), aggregationFuncThresh=0.2) self.assertEqual(aggFunc, 'sum')