How to use RELML50018 - L5: Activities

SAP Transaction Code - Details

• Transaction Code: RELML50018

  Description: L5: Activities

  Release: S/4HANA and ECC 6

• • Program: BUSVIEWS

    Screen: 1000

    Authorization Object:

  • Development Package: RE_LM_JL

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: RELML50018 - L5: Activities

   for ML
  
  Overview: 
  RELML50018 is a transaction code used in SAP to access the Activities for ML (Machine Learning) application. This application allows users to create, manage, and monitor machine learning models. It also provides a graphical interface for creating and managing machine learning models. 
  
  Functionality: 
  The Activities for ML application provides users with the ability to create, manage, and monitor machine learning models. It also provides a graphical interface for creating and managing machine learning models. The application allows users to create, edit, and delete machine learning models, as well as view the results of their models. Additionally, users can use the application to monitor the performance of their models over time. 
  
  Step-by-step How to Use: 
  1. To access the Activities for ML application, enter the transaction code RELML50018 in the SAP system. 
  2. The Activities for ML application will open up in a new window. 
  3. From here, you can create a new machine learning model by clicking on the “Create Model” button. 
  4. You can then enter the details of your model such as its name, description, and parameters. 
  5. Once you have entered all of the necessary information, click on “Save” to save your model. 
  6. You can then view the results of your model by clicking on “View Results” or edit your model by clicking on “Edit Model”. 
  7. You can also monitor the performance of your model over time by clicking on “Monitor Performance”. 
  
  Other Recommendations: 
  It is recommended that users familiarize themselves with the features and functionality of the Activities for ML application before using it to create or manage machine learning models. Additionally, users should ensure that they have all of the necessary information before creating or editing a model in order to ensure that their model is accurate and up-to-date.