Metrics
For deterministic forecasts (point predictions with num_samples == 1), probabilistic forecasts (num_samples > 1),
and quantile forecasts. For probabilistic and quantile forecasts, use parameter q to define the quantile(s) to
compute the deterministic metrics on:
- Aggregated over time:
- Absolute metrics:
-
- Relative metrics:
MASE
: Mean Absolute Scaled Error
MSSE
: Mean Squared Scaled Error
RMSSE
: Root Mean Squared Scaled Error
MAPE
: Mean Absolute Percentage Error
sMAPE
: symmetric Mean Absolute Percentage Error
OPE
: Overall Percentage Error
MARRE
: Mean Absolute Ranged Relative Error
- Other metrics:
-
- Per time step:
- Absolute metrics:
ERR
: Error
AE
: Absolute Error
SE
: Squared Error
SLE
: Squared Log Error
- Relative metrics:
ASE
: Absolute Scaled Error
SSE
: Squared Scaled Error
APE
: Absolute Percentage Error
sAPE
: symmetric Absolute Percentage Error
ARRE
: Absolute Ranged Relative Error
For probabilistic forecasts (storchastic predictions with num_samples >> 1) and quantile forecasts:
- Aggregated over time:
- Quantile metrics:
MQL
: Mean Quantile Loss
QR
: Quantile Risk
- Quantile interval metrics:
MIW
: Mean Interval Width
MWS
: Mean Interval Winkler Score
MIC
: Mean Interval Coverage
MINCS_QR
: Mean Interval Non-Conformity Score for Quantile Regression
- Per time step:
- Quantile metrics:
-
- Quantile interval metrics:
-
For Dynamic Time Warping (DTW) (aggregated over time):