def __init__(self, train=[], baseline=MAJORITY, iterations=1, **kwargs):
        self._weight     = defaultdict(dict) # {class: {feature: (weight, weight sum, timestamp)}}
        self._iterations = iterations
        self._iteration  = 0
        train = list(train)
        train = chain(*(shuffled(train) for i in range(iterations)))
        Classifier.__init__(self, train, baseline)
Dispatch the request to the appropriate controller.
dataset/ETHPy150Open clips/pattern/pattern/vector/__init__.py/SLP.__init__--crossover with--dataset/ETHPy150Open BU-NU-CLOUD-SP16/Trusted-Platform-Module-nova/nova/wsgi.py/Router._dispatch