5.6.7.1 Supervised Historic Data Load
- This is a pre-seeded batch and will be available in all workspaces ( production & sandboxes )
- This Batch is to be executed in the Sandbox workspace.
- This Batch creates Historical Data Aggregates for ML Model training in the sandbox.
Batch and Task Parameters
The batch contains a single
task named Historic_Data_Load.
Figure 5-91 Task Details for Historic Data Load
Task: Historic_Data_Load, Task Parameters
- Objective folder for this
task:
Home / Modeling / Pipelines / AIF Batch Framework / Supervised ML / Historical Data - Do not change any parameter, except Optional Parameters.
- Optional Parameters:
- model_group_name: Name of the Model Groups for which Data Aggregation is to be created. Example LOB1
- benford_flag: Flag indicates whether Benford Law Computation is required or not. Options Y or N
- benford_digit: Parameter to Benford law, Benford Digit. Options 1 or 2 or 3
- from_date: Start date for Historic Data lookup in DD-Mon-YYYY format.
- to_date: End Date for Historic Data lookup in DD-Mon-YYYY format.
- Example : model_group_name=LOB1,benford_flag=Y,benford_digit=1,from_date=01-Jul- 2020,to_date=31-Jul-2021
- Edit Task Parameters & Save.
Figure 5-92 Edit Task Details for Historic Data Load
