Skip to content

Visualizing Model Version Predictions

  1. Open the Fiori Launchpad by clicking here. Click on the Intelligent Scenario app.

  2. Search the Intelligent Scenario created by you by entering the Intelligent Scenario name as Z_SEATOCC_FTCLAS_###, where ### is your attendee id and Status = Published. Navigate to the details page by clicking the > icon.

  3. Click on Apply Setting Tab. You can find the 3 Apply CDS views in this tab. We can see the predictions for each view in next steps.

  4. You will use the SAP GUI to view the model's prediction. Login to S4H/100 system via SAP GUI. Type /n se38 in the command field and press ENTER.

  5. Search for report RUT_DDLS_DATA_PREVIEW and click on Execute(F8).

  6. Enter the ISLM generated 1st CDS view of created Intelligent Scenario to view predictions from trained model.
    CDS View will have following name Z_SEATOCC_FTCLAS_###_CDS01, where ### is your attendee id.
    Enter CDS View Name in Entity Name field and click on Execute.

  7. You can scroll down and see the model's keys in the first four columns: Airline Code, Flight Connection Number, Flight Date and Booking number.
    Column SEATSOCCF has the actual value of the seats occupied.
    Column GB_SCORE_SEATSOCCF column has the predicted value of the occupied seats.

  8. Goto SE38 again and Search for report RUT_DDLS_DATA_PREVIEW and click on Execute(F8). Enter the ISLM generated 2nd CDS view of created Intelligent Scenario to view predictions from trained model.
    CDS View will have following name Z_SEATOCC_FTCLAS_###_CDS01_KEY, where ### is your attendee id.
    Enter CDS View Name in Entity Name field and click on Execute.

  9. Provide below values to the respective CDS parameters:

    • P_BOOKID = 2274
    • P_CARRID = AZ
    • P_CONNID = 555
    • P_FLDATE = 20250813

  10. You can scroll down and see the model's keys in the first four columns: Airline Code, Flight Connection Number, Flight Date and Booking number.
    Column SEATSOCCF has the actual value of the seats occupied.
    Column GB_SCORE_SEATSOCCF column has the predicted value of the occupied seats.

  11. Goto SE38 again and Search for report RUT_DDLS_DATA_PREVIEW and click on Execute(F8). Enter the ISLM generated 3rd CDS view of created Intelligent Scenario to view predictions from trained model.
    CDS View will have following name Z_SEATOCC_FTCLAS_###_CDS01_WHR, where ### is your attendee i.
    Enter CDS View Name in Entity Name field and click on Execute.

  12. Provide below values to the respective CDS parameters

    • P_WHERE = CONNID = 0017 AND FLDATE = 20250813

  13. You can scroll down and see the model's keys in the first four columns: Airline Code, Flight Connection Number, Flight Date and Booking number.
    Column SEATSOCCF has the actual value of the seats occupied.
    Column GB_SCORE_SEATSOCCF column has the predicted value of the occupied seats.

Well done, you just visualized your trained model predictions..!