Python normal_inverse Examples

Example #1

File: univariatenormalestimator.py Project: vitords/HoeffdingTree

 def predict_quantile(self, percentage):
     self.update_mean_and_variance()
     return self._mean + utils.normal_inverse(percentage) * math.sqrt(self._variance)

Example #2

File: univariatenormalestimator.py Project: pi224/BanditSLC

 def predict_quantile(self, percentage):
     self.update_mean_and_variance()
     return self._mean + utils.normal_inverse(percentage) * math.sqrt(
         self._variance)

Example #3

File: univariatenormalestimator.py Project: vitords/HoeffdingTree

 def predict_intervals(self, conf):
     self.update_mean_and_variance()
     val = utils.normal_inverse(1.0 - (1.0 - conf) / 2.0)
     arr = [[self._mean + val * math.sqrt(self._variance)],
         [self._mean - val * math.sqrt(self._variance)]]
     return arr

Example #4

File: univariatenormalestimator.py Project: pi224/BanditSLC

 def predict_intervals(self, conf):
     self.update_mean_and_variance()
     val = utils.normal_inverse(1.0 - (1.0 - conf) / 2.0)
     arr = [[self._mean + val * math.sqrt(self._variance)],
            [self._mean - val * math.sqrt(self._variance)]]
     return arr