What is pre-trained model in SAP CA-ML-BDP - ?

SAP Term: pre-trained model

• Component: CA-ML-BDP

• Component Name:

• Description: Services Related to Business Document Processing A machine learning model trained to predict field values from documents. Pre-trained models are managed by SAP and are based on large amounts of data from different document types and layouts. The default extractors used by the Document Information Extraction service are outputs of the pre-trained model.

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• Key Concepts: 
  A pre-trained model is a machine learning model that has already been trained on a large dataset. This type of model is used to quickly and accurately predict outcomes without the need for additional training. The SAP Component CA-ML-BDP provides pre-trained models that can be used to quickly and accurately predict outcomes in various business scenarios. 
  
  How to use it: 
  The CA-ML-BDP component provides a set of pre-trained models that can be used to quickly and accurately predict outcomes in various business scenarios. The models are designed to be used with the SAP HANA platform, and can be deployed in a variety of ways, including on-premise or cloud deployments. 
  
  Tips & Tricks: 
  When using pre-trained models, it is important to ensure that the data used for training is up-to-date and accurate. Additionally, it is important to ensure that the model is properly tuned for the specific use case. 
  
  Related Information: 
  The CA-ML-BDP component provides a set of pre-trained models that can be used with the SAP HANA platform. Additionally, SAP offers a range of other machine learning components, such as SAP Leonardo Machine Learning Foundation and SAP Predictive Analytics, which provide additional capabilities for predictive analytics.