Evaluating the Results of the Forecast
Sections
The score
configuration function allows for the calculation of metrics at custom resolutions during the scoring steps of a pipeline. This capability is vital for assessing the accuracy and effectiveness of forecasts, enabling the fine-tuning of models based on specific performance metrics such as RMSE or MAE. By tailoring evaluation criteria, users gain precise insights into model performance, facilitating targeted improvements.
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