mirror of
https://github.com/wassname/pytorch-ts.git
synced 2026-08-03 13:10:21 +08:00
added relative bias evaluation
This commit is contained in:
@@ -197,6 +197,7 @@ class Evaluator:
|
||||
"abs_target_sum": self.abs_target_sum(pred_target),
|
||||
"abs_target_mean": self.abs_target_mean(pred_target),
|
||||
"seasonal_error": seasonal_error,
|
||||
"relative_bias": self.relative_bias(pred_target, median_fcst),
|
||||
"MASE": self.mase(pred_target, median_fcst, seasonal_error),
|
||||
"sMAPE": self.smape(pred_target, median_fcst),
|
||||
"MSIS": self.msis(
|
||||
@@ -229,6 +230,7 @@ class Evaluator:
|
||||
"abs_target_sum": "sum",
|
||||
"abs_target_mean": "mean",
|
||||
"seasonal_error": "mean",
|
||||
"relative_bias": "mean",
|
||||
"MASE": "mean",
|
||||
"sMAPE": "mean",
|
||||
"MSIS": "mean",
|
||||
@@ -292,6 +294,10 @@ class Evaluator:
|
||||
def coverage(target, quantile_forecast):
|
||||
return np.mean((target < quantile_forecast))
|
||||
|
||||
@staticmethod
|
||||
def relative_bias(target, forecast):
|
||||
return np.mean(forecast - target) / np.mean(target)
|
||||
|
||||
@staticmethod
|
||||
def mase(target, forecast, seasonal_error):
|
||||
r"""
|
||||
|
||||
Reference in New Issue
Block a user