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ForecastingPrimaryMetrics type

  • Reference
Package:
@azure/arm-machinelearning

Defines values for ForecastingPrimaryMetrics.
KnownForecastingPrimaryMetrics can be used interchangeably with ForecastingPrimaryMetrics, this enum contains the known values that the service supports.

Known values supported by the service

SpearmanCorrelation: The Spearman's rank coefficient of correlation is a non-parametric measure of rank correlation.
NormalizedRootMeanSquaredError: The Normalized Root Mean Squared Error (NRMSE) the RMSE facilitates the comparison between models with different scales.
R2Score: The R2 score is one of the performance evaluation measures for forecasting-based machine learning models.
NormalizedMeanAbsoluteError: The Normalized Mean Absolute Error (NMAE) is a validation metric to compare the Mean Absolute Error (MAE) of (time) series with different scales.

type ForecastingPrimaryMetrics = string