Data Attribute Recommendation
Trains and deploys machine learning models that classify records such as products or users into categories and predict a missing numerical attribute from free text, numbers and categories, over a REST API.
Data Attribute Recommendation takes free text, numbers and categories as input to classify entities such as products, stores and users into multiple classes, and to predict the value of a missing numerical attribute in a data record. SAP names classifying incoming product information and predicting the price of a commodity from its description as example uses. The service covers managing the training dataset, managing the trained model, and calling a deployed model's endpoint to classify or predict; it runs on shared compute serving multiple tenants. SAP removed it from the list of Eligible Cloud Services as of 1 April 2026 and it is not available for renewal; SAP directs existing users to their account manager and points to a SAP Community post on Tabular AI.
Where it sits
Who is behind it
In the atlas: maintains 137, wrote 14@SAPmaintainer
What it declares
Every artifact
- Type
- Service
- Origin
- By SAP
As a service
- Plans
- 3
- Regions
- 15
- Support component
- CA-ML-DAR
Connections
Training, deploying and calling predictive models on tabular data
Download
What’s New
from SAP Help Portal, readModel Manager Stability Improvements
Service Removal
End-of-Life for Instance Secret Credential Type
Model Manager Stability Improvements
AutoML Model Template Scenario
AI API SDK Tutorial
Data Validation Improvements
Service Onboarding Improvements
Calibration Improvements
Overall Improvements
Calibration Improvements
Availability in Google Cloud Regions
Data Validation for Batch Inference Jobs
Availability in Microsoft Azure Regions
Stability Improvements
AI API - Regression Model Template
Batch Inference Configuration
Sales Order Completion (SOC) Business Blueprint Improvements
Technical Constraints
Usability and Stability Improvements
Training Configuration
AI API - New Functionalities
Resuse of Dataset Schemas
Support for X.509 Authentication
Batch Inference and Transfer Learning Available with Executable Version 3.0
Overall Improvements
AI API - New Functionalities
AI API - Improvements
Technical Constraints
Trial Account Response Times
Business Blueprints
Technical Constraints
Overall Improvements
AI API - Path Length Technical Limit for Dataset Upload
AI API - Metrics for Data Validation
Technical Constraints
Overall Improvements
SAP AI Core Migration
AI API Dataset Upload
Accessibility Features
Tutorials
AI API
Global Accounts
Overall Improvements
AI API
Overall Improvements
Concepts
Business Blueprints
Others providing
Compare all 2 on the Predictive models page →- Personalized RecommendationPersonalized RecommendationTrains and deploys a machine learning model over a website visitor's browsing history and item attributes, and serves next-item, similar-item, smart-search and user-affinity recommendations from it over a REST API.sap official, btpMachine learning recommendations over browsing history via RESTfrom BTP/BAIP
Details
Sources
Sources are graph entities: the same page may back several entries, and an unreachable source flags every row that rests on it.
Compatibility and provenance
History in the atlas
- First seen.
For your agent
- Ref
artifact:btp-data-attribute-recommendation- JSON
- /artifacts/btp-data-attribute-recommendation.json
- MCP
- Connecting an agent