MetricsΒΆ

For deterministic forecasts (point predictions with num_samples == 1), probabilistic forecasts (num_samples > 1), and quantile forecasts. For probablistic and quantile forecasts, use parameter q to define the quantile(s) to compute the deterministic metrics on:

  • Aggregated over time:
    Absolute metrics:
    • MERR: Mean Error

    • MAE: Mean Absolute Error

    • MSE: Mean Squared Error

    • RMSE: Root Mean Squared Error

    • RMSLE: Root Mean Squared Log Error

    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:
    • R2: Coefficient of Determination

    • CV: Coefficient of Variation

  • 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):
  • Aggregated over time:
    • MQL: Mean Quantile Loss

    • QR: Quantile Risk

    • MIW: Mean Interval Width

  • Per time step:
    • QL: Quantile Loss

    • IW: Interval Width

For Dynamic Time Warping (DTW) (aggregated over time):
  • DTW: Dynamic Time Warping Metric