How to use FINS_ML_DAR_ADM - Administration of DAR training runs

SAP Transaction Code - Details

• Transaction Code: FINS_ML_DAR_ADM

  Description: Administration of DAR training runs

  Release: S/4HANA only

• • Program: FINS_ML_DAR_ADM

    Screen: 1000

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Smart SAP Assistant

• SAP Tcode: FINS_ML_DAR_ADM - Administration of DAR training runs

  
  Overview:
  The SAP transaction code FINS_ML_DAR_ADM is used for the administration of DAR (Data Analysis and Reporting) training runs. It is a part of the SAP Financials module and is used to manage the training runs for the DAR system. 
  
  Functionality: 
  The FINS_ML_DAR_ADM transaction code allows users to manage the training runs for the DAR system. This includes creating, editing, and deleting training runs, as well as viewing the results of completed training runs. The transaction code also allows users to view the status of each training run, such as whether it is running or has been completed. 
  
  Step-by-step How to Use: 
  1. Log into your SAP system and enter the FINS_ML_DAR_ADM transaction code. 
  2. Select the “Create” option to create a new training run. 
  3. Enter the required information for the new training run, such as the name, description, and parameters. 
  4. Select “Save” to save your changes and create the new training run. 
  5. To view or edit an existing training run, select “Display” from the main menu. 
  6. Select the desired training run from the list and select “Edit” to make changes or “Display” to view its details. 
  7. To delete a training run, select “Delete” from the main menu and select the desired training run from the list. 
  8. To view the results of a completed training run, select “Display Results” from the main menu and select the desired training run from the list. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with all of the options available in this transaction code before using it in order to ensure that they are using it correctly and efficiently. Additionally, users should ensure that they have all of the necessary information before creating a new training run in order to avoid any errors or delays in processing it.