How To Fix RSDME540 - Continuous model field &1 is not considered for training

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDME -

• Message number: 540

• Message text: Continuous model field &1 is not considered for training

What causes this issue?

The problem can have one of the following causes:
The model field only has one value in the entire dataset
The model field only has a non-numeric value or a zero value in the
entire dataset

System Response

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

How to fix this error?

If you incorrectly specified a non-numeric field as continuous, define
this field as discrete.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message RSDME540 - Continuous model field &1 is not considered for training ?

  The SAP error message RSDME540 indicates that a continuous model field is not being considered for training in a predictive model. This typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when working with predictive analytics or machine learning models.
  Cause:
  The error can arise due to several reasons:
  
  Field Type: The field in question may not be of the correct data type. Continuous model fields should be numeric (e.g., integer, float).
  Field Configuration: The field may not be properly configured in the model settings. It might be marked as a categorical field or not included in the training set.
  Data Quality Issues: The data in the field may contain null values, outliers, or other issues that prevent it from being used effectively in training.
  Model Definition: The model definition may not include the field as a feature for training, or it may be excluded due to specific settings in the model configuration.
  
  Solution:
  To resolve the RSDME540 error, you can take the following steps:
  
  
  Check Field Type:
  
  Ensure that the field is defined as a continuous numeric field in the data model. If it is not, you may need to change its data type.
  
  
  
  Review Model Configuration:
  
  Go to the predictive model configuration and verify that the field is included in the list of features for training. If it is not, add it to the model.
  
  
  
  Data Quality Check:
  
  Inspect the data for the field to ensure there are no null values or invalid entries. Clean the data as necessary to ensure it meets the requirements for training.
  
  
  
  Reconfigure the Model:
  
  If the field is still not being considered, you may need to reconfigure the model or create a new model that includes the field correctly.
  
  
  
  Consult Documentation:
  
  Refer to SAP documentation or help resources for specific guidelines on configuring predictive models and handling continuous fields.
  
  
  
  Testing:
  
  After making the necessary changes, re-run the training process to see if the error persists.
  
  
  
  Related Information:
  
  SAP BW/4HANA: If you are using SAP BW/4HANA, ensure that you are familiar with the data modeling and predictive analytics capabilities specific to that environment.
  SAP Predictive Analytics: Familiarize yourself with the features and limitations of SAP Predictive Analytics, especially regarding data types and model training.
  SAP Community: Engage with the SAP Community forums for additional insights and solutions from other users who may have encountered similar issues.
  
  By following these steps, you should be able to identify the cause of the RSDME540 error and implement a solution to ensure that the continuous model field is considered for training.