ML Training and ML Execute tasks

The Other Tasks tab contains tasks for the execution of Machine Learning Training and Execute data processing. Tasks can be dragged into the graph area when editing.

The ML task definition parameters are:

• description. this field is mandatory and requires a description of the task being added to the graph.
• process. Mandatory field
• scenario. in the case of a single submission process, the field is not editable; whereas for scenario/period submission processes, it is mandatory and in single selection
• period. in the case of a single submission process, the field is not editable; whereas for scenario/period submission processes, it is mandatory and in single selection
• Analytical workspace. the field is mandatory and in single selection
• entity. the field is single-selection; it can only be filled alternatively to the hierarchy Entity and node fields
• Entity hierarchy. the field is in single selection; it can only be filled alternatively to the Entity field
• node Entity. the field is in single selection; it can only be filled alternatively to the Entity field; it is possible to choose a code associated with the chosen hierarchy
• Analytical workspace. the field is mandatory and single-selection
• Advanced Analytics Task. the field is mandatory and in single selection. It is possible to choose an Advanced Analytics associated with the chosen Analytical workspace
• Training. the field is mandatory. It is possible to choose a training associated with the chosen Advanced Analytics Task and the model used in the Advanced Analytics
• The 'Clear output data before the data processing' option is not mandatory. It is possible to select it if you want the output data to be deleted before the execution of a Machine Learning data processing.