class MedianOfLastWindow(object):
def __init__(self, window_size):
self._window = RandomDropSizedList(window_size)
def __call__(self, sample=None):
"""If passed no sample then returns current median."""
if sample is not None:
# maintain order.
self._window.insort(sample)
# randomly expels one sample to keep size. Dropping a random
# sample exhibits no bias (as opposed to dropping smallest or
# largest as done with MinWindow and MaxWindow)
return median(self._window)
class MedianOfLastWindow(object):
def __init__( self, window_size ):
self._window = RandomDropSizedList(window_size)
def __call__( self, sample = None ):
"""If passed no sample then returns current median."""
if sample is not None:
# maintain order.
self._window.insort(sample)
# randomly expels one sample to keep size. Dropping a random
# sample exhibits no bias (as opposed to dropping smallest or
# largest as done with MinWindow and MaxWindow)
return median(self._window)
def __init__(self, window_size):
self._window = RandomDropSizedList(window_size)
def __init__( self, window_size ):
self._window = RandomDropSizedList(window_size)