AO_NPI_ML_MODEL_TRAINING
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Build information
Analytical Object | AO_NPI_ML_MODEL_TRAINING |
Query Object | QO_NPI_MODEL_TRAINING_RESULT |
Data Source | PAI Machine Learning |
Cab File | PAI_ML_NPI_FORECASTING.cab |
Query Object Primary Table | TBD |
Query Object Tables | TBD |
Parameters | None |
Predecessor Jobs | None |
Build Type | The following build types are supported: • Full |
Build Frequency | None |
| N/A |
| Measure | Mathematical Function |
|---|
| Root Mean Square Error of validation set forecasts | | Mean Absolute Percentage Error of validation set forecasts | Shortage Units | Overall shortage in forecasts for all parts in validation set | Excess Units | Overall excess in forecasts for all parts in validation set | Total Forecast | Sum of forecasted part demands across validation set | Total Demands | Sum of actual part demands across validation set | Forecast Horizon | New Part Introduction forecast horizon | Validation Set Size | Number of records in validation set | Training Set Size | Number of records in training set |
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