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Component: CA-ML-DAR
Component Name:
Description: Data Attribute Recommendation A procedure whereby the machine learning model learns matching patterns from training data.
Key Concepts: A training job is a type of job in SAP's Component CA-ML-DAR (Data Analysis and Reporting). It is used to create a model that can be used to predict future outcomes based on past data. The model is created by using a set of input data and applying algorithms to it. The output of the training job is a model that can be used for predictive analytics. How to use it: To create a training job, you will need to have access to the SAP system and the CA-ML-DAR component. Once you have access, you will need to select the input data that you want to use for the training job. You will then need to select the algorithms that you want to apply to the data. Finally, you will need to configure the parameters of the training job and run it. Tips & Tricks: When creating a training job, it is important to select the right algorithms for your data. Different algorithms are better suited for different types of data, so it is important to do some research before selecting an algorithm. Additionally, it is important to configure the parameters of the training job correctly in order to get the best results. Related Information: For more information about training jobs in SAP's CA-ML-DAR component, please refer to SAP's official documentation or contact your local SAP support team.