Measures for Bayesian Forecasting

This topic lists the measures that are used in Bayesian forecasting.

Input Measures

This table lists the predefined input measures for Bayesian forecasting and the associated measures that are predefined or automatically created:

Input Measure	Associated Measure
Final Bookings History	Bookings History Average (predefined)
Final Consumption History	Consumption History Average (predefined)
Final Shipments History	Shipments History Average (predefined)
user-defined input measure	<user-defined input measure name> History average (automatically created and added to the measure catalog for the user-defined forecasting profile)

Output Measures

This table lists the predefined output measures for Bayesian forecasting and the associated measures that are predefined or automatically created:

Output Measure	Associated Measures
Bookings Forecast Consumption Forecast Shipments Forecast	<predefined output measure name> Average Interarrival Time <predefined output measure name> Batch Size <predefined output measure name> Bias <predefined output measure name> Complexity <predefined output measure name> Decomposed <predefined output measure name> Decomposed Outlier <predefined output measure name> Decomposed Regime Change Bookings Forecasting Levels/Consumption Forecasting Level/Shipments Forecasting Levels Bookings Forecasting Methods/Consumption Forecasting Methods/Shipments Forecasting Methods Bookings Forecasting Methods Weight/Consumption Forecasting Methods Weight/Shipments Forecasting Methods Weight <predefined output measure name> Generate Forecast/Consumption Forecast Generation Status <predefined output measure name> Has Outliers Bookings Forecast Has Regime Change/Shipments Forecast Has Regime Change <predefined output measure name> Interval Time <predefined output measure name> Is Intermittent <predefined output measure name> MAD <predefined output measure name> MAPE <predefined output measure name> Outlier Values/Consumption Forecast Outlier Value <predefined output measure name> Status <predefined output measure name> Total (all predefined)
user-defined output measure	<user-defined output measure name> Average interarrival time <user-defined output measure name> Batch size <user-defined output measure name> Bias <user-defined output measure name> Complexity <user-defined output measure name> Decomposed model and causal factor forecast <user-defined output measure name> Decomposed outlier values <user-defined output measure name> Decomposed regime change indicator <user-defined output measure name> Forecast level <user-defined output measure name> Forecast method weights <user-defined output measure name> Forecast methods <user-defined output measure name> Forecast status <user-defined output measure name> Generate forecast indicator <user-defined output measure name> Intermittent indicator <user-defined output measure name> Interval time <user-defined output measure name> MAD <user-defined output measure name> MAPE <user-defined output measure name> Outlier indicator <user-defined output measure name> Outlier values <user-defined output measure name> Regime change indicator <user-defined output measure name> Total Forecast The measures are automatically created and added to the measure catalog for the user-defined forecasting profile. If the user-defined output measure is used in more than one user-defined forecasting profile, the associated measures are reused and not created anew.

Output Measure

Associated Measures

Bookings Forecast

Consumption Forecast

Shipments Forecast

<predefined output measure name> Average Interarrival Time

<predefined output measure name> Batch Size

<predefined output measure name> Bias

<predefined output measure name> Complexity

<predefined output measure name> Decomposed

<predefined output measure name> Decomposed Outlier

<predefined output measure name> Decomposed Regime Change

Bookings Forecasting Levels/Consumption Forecasting Level/Shipments Forecasting Levels

Bookings Forecasting Methods/Consumption Forecasting Methods/Shipments Forecasting Methods

Bookings Forecasting Methods Weight/Consumption Forecasting Methods Weight/Shipments Forecasting Methods Weight

<predefined output measure name> Generate Forecast/Consumption Forecast Generation Status

<predefined output measure name> Has Outliers

Bookings Forecast Has Regime Change/Shipments Forecast Has Regime Change

<predefined output measure name> Interval Time

<predefined output measure name> Is Intermittent

<predefined output measure name> MAD

<predefined output measure name> MAPE

<predefined output measure name> Outlier Values/Consumption Forecast Outlier Value

<predefined output measure name> Status

<predefined output measure name> Total

(all predefined)

user-defined output measure

<user-defined output measure name> Average interarrival time

<user-defined output measure name> Batch size

<user-defined output measure name> Bias

<user-defined output measure name> Complexity

<user-defined output measure name> Decomposed model and causal factor forecast

<user-defined output measure name> Decomposed outlier values

<user-defined output measure name> Decomposed regime change indicator

<user-defined output measure name> Forecast level

<user-defined output measure name> Forecast method weights

<user-defined output measure name> Forecast methods

<user-defined output measure name> Forecast status

<user-defined output measure name> Generate forecast indicator

<user-defined output measure name> Intermittent indicator

<user-defined output measure name> Interval time

<user-defined output measure name> MAD

<user-defined output measure name> MAPE

<user-defined output measure name> Outlier indicator

<user-defined output measure name> Outlier values

<user-defined output measure name> Regime change indicator

<user-defined output measure name> Total Forecast

The measures are automatically created and added to the measure catalog for the user-defined forecasting profile. If the user-defined output measure is used in more than one user-defined forecasting profile, the associated measures are reused and not created anew.