def fit(self, X, y):
        iterativeFitter = self.iterativeFitter(X, y)
        boostingIx = 0
        while boostingIx < self.nBoostingIterations:
            iterativeFitter = iterativeFitter.next()
            boostingIx = boostingIx + 1

        return iterativeFitter.model
Ask to fetch a single message from a queue.  If a consumer is supplied,
dataset/ETHPy150Open ufora/ufora/packages/python/pyfora/algorithms/regressionTrees/GradientBoostedRegressorBuilder.py/GradientBoostedRegressorBuilder.fit--crossover with--dataset/ETHPy150Open agoragames/haigha/haigha/classes/basic_class.py/BasicClass.get