def max_num_obs_difference(self) -> PointMetric:
return PointMetric(
"max_num_obs_difference",
"The average number of observation differences",
max([
self.no_delay[ix].num_points - delay_pred.num_points
for ix, delay_pred in enumerate(self.delay)
]))
def percent_points_missed(self):
return PointMetric(
"percent_points_missed",
"The expected percentage of points missing",
100 * (self.average_num_obs_difference().value /
self.average_expected_number_obs().value))
def average_expected_number_obs(self):
return PointMetric(
"average_expected_number_obs",
"The expected number of observations, on average",
sum(obs.num_points for obs in self.no_delay) / len(self.no_delay))
def average_delay(self) -> PointMetric:
return PointMetric(
"average_delay", "The average time the delayed points are delay",
sum([pred.timestamp.time_difference()
for pred in self.delay]) / len(self.delay))
def max_delay(self) -> PointMetric:
return PointMetric(
"max_delay", "The max time a point is delayed",
max([pred.timestamp.time_difference() for pred in self.delay]))
def delay_rmse(self):
return PointMetric("rmse_delay",
"The RMSE of delay",
self.calc_rmse(self.delay))
def no_delay_rmse(self):
return PointMetric("rmse_no_delay",
"The RMSE of no delay",
self.calc_rmse(self.no_delay))
def rmse_difference(self) -> PointMetric:
return PointMetric("rmse_difference",
"The difference in RMSE between delayed and non delayed dataset",
self.calc_rmse(self.delay) - self.calc_rmse(self.no_delay))