def __init__(self, dependency='x', isPopulation=False): super(Variance, self).__init__(dependency) _checkParameterList(dependency) self._currentSum = 0.0 self._currentSumSquare = 0.0 self._currentCount = 0 self._isPop = isPopulation self._returnSize = 1
def __init__(self, dependency='x'): super(Average, self).__init__(dependency) _checkParameterList(dependency) self._currentSum = 0.0 self._currentCount = 0 self._returnSize = 1
def __init__(self, dependency='x'): super(Minimum, self).__init__(dependency) _checkParameterList(dependency) self._currentMin = None self._returnSize = 1
def __init__(self, dependency='x'): super(Latest, self).__init__(dependency) _checkParameterList(dependency) self._returnSize = 1 self._latest = None