5240e8ed8e7ac4fd805f3ca6a858375b368d9406,datasketch/hyperloglog.py,HyperLogLogPlusPlus,_estimate_bias,#HyperLogLogPlusPlus#Any#Any#,261

Before Change

    def _estimate_bias(self, e, p):
        bias_vector = _bias[p - 4]
        nearest_neighbors = self._get_nearest_neighbors(e, _raw_estimate[p - 4])
        return sum([float(bias_vector[i]) for i in nearest_neighbors]) /\
                len(nearest_neighbors)

    def count(self):
        num_zero = self.m - np.count_nonzero(self.reg)
        if num_zero > 0:

After Change

        bias_vector = _bias[p - 4]
        estimate_vector = _raw_estimate[p - 4]
        nearest_neighbors = np.argsort((e - estimate_vector)**2)[:6]
        return np.mean(bias_vector[nearest_neighbors])

    def count(self):
        num_zero = self.m - np.count_nonzero(self.reg)
        if num_zero > 0:

Instances