fdb79b730cf635480ac1b264392345936b591ad0,src/skmultiflow/trees/hoeffding_tree_regressor.py,HoeffdingTreeRegressor,normalize_sample,#HoeffdingTreeRegressor#Any#,184

Before Change

                          / self.samples_seen) / self.samples_seen
            if self.samples_seen > 1 and sd_squared >= 0:
                mean = self.sum_of_attribute_values[i] / self.samples_seen
                sd = np.sqrt(sd_squared)
                normalized_sample.append((X[i] - mean) / (3 * sd))
            else:
                normalized_sample.append(0.0)
        if self.samples_seen > 1:

After Change

                else:
                    normalized_sample.append(0.0)
            else:
                normalized_sample.append(0.0)
        if self.samples_seen > 1:
            normalized_sample.append(1.0)  // Value to be multiplied with the constant factor
        else:
            normalized_sample.append(0.0)

Instances