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Component: BI-RA-PA
Component Name: SAP Predictive Analytics
Description: A definition of the actual instance of a predictive model. It is used to define a mechanism to get predictions from an appropriate model for the data to which it is being applied. It is an object of the Predictive Analytics integrator repository.
Key Concepts: Modeling context is a feature of SAP Predictive Analytics that allows users to create and manage multiple models in a single environment. It provides an organized way to store and access data, models, and results. It also allows users to compare different models and their results. How to use it: To use modeling context, users must first create a project. This project will contain all the data, models, and results associated with the project. Once the project is created, users can create multiple models within the project. Each model can be configured with different parameters and settings. The results of each model can then be compared to determine which model is best suited for the task at hand. Tips & Tricks: When creating a modeling context project, it is important to give it a descriptive name that will help you remember what the project is about. This will make it easier to find the project later on when you need to access it again. Additionally, it is important to keep track of the different models you create within the project so that you can easily compare them later on. Related Information: For more information on modeling context in SAP Predictive Analytics, please refer to the official documentation here: https://help.sap.com/viewer/predictive-analytics/3_1/en-US/f9f8d7a2b6c14e8a9f3d7c2b5f9e4d6a.html