What is 'train model' in SAP MFG-DM-MI-PQM - Predictive Quality Management?

train model - Overview

• Component: MFG-DM-MI-PQM

• Component Name: Predictive Quality Management

• Description: The process of entering historical data to a predefined predictive algorithm to train and build an evaluation or scoring model.

train model - Details

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  Key Concepts: 
  Train Model is a component of Predictive Quality Management (PQM) in SAP Manufacturing Data Management (MFG-DM-MI). It is used to create a model that can be used to predict the quality of a product based on its characteristics. The model is created by training it on a set of data that contains the characteristics of the product and its quality. 
  
  How to use it: 
  To use Train Model, first you need to create a dataset that contains the characteristics of the product and its quality. This dataset can be created manually or imported from an external source. Once the dataset is ready, you can use Train Model to create a model that can be used to predict the quality of a product based on its characteristics. The model can then be used to make decisions about the quality of products in production. 
  
  Tips & Tricks: 
  When creating a dataset for Train Model, it is important to ensure that it contains enough data points so that the model can accurately predict the quality of products. Additionally, it is important to ensure that the data points are representative of the products being produced. 
  
  Related Information: 
  Train Model is part of SAP Manufacturing Data Management (MFG-DM-MI). It is also related to other components such as Quality Inspection and Quality Control, which are used to monitor and