fdb79b730cf635480ac1b264392345936b591ad0,src/skmultiflow/trees/hoeffding_tree_regressor.py,HoeffdingTreeRegressor,normalize_target_value,#HoeffdingTreeRegressor#Any#,214

Before Change

                          / self.samples_seen) / self.samples_seen
            if sd_squared >= 0:
                mean = self.sum_of_values / self.samples_seen
                sd = np.sqrt(sd_squared)
                return (y - mean) / (3 * sd)
            else:
                return 0.0
        return 0.0

After Change

            mean = self.sum_of_values / self.samples_seen
            sd = compute_sd(self.sum_of_squares, self.sum_of_values, self.samples_seen)
            if sd > 0:
                return float(y - mean) / (3 * sd)
        return 0.0

    def _new_learning_node(self, initial_class_observations=None, perceptron_node=None):

Instances