def next(self):
        pseudoResiduals, newPredictions = \
            self.model.pseudoResidualsAndPredictions(self.predictions)

        newModel = self.model.boost(newPredictions, pseudoResiduals)

        return IterativeFitter(newModel, newPredictions)
note that the config has been received.
dataset/ETHPy150Open ufora/ufora/packages/python/pyfora/algorithms/regressionTrees/GradientBoostedRegressorBuilder.py/IterativeFitter.next--crossover with--dataset/ETHPy150Open UniversalDevicesInc/Polyglot/polyglot/nodeserver_api.py/PolyglotConnector._recv_config