12 Machine Learning (ML) Models

Data Transforms supports the use of ML Model in a data flow. Learn how to create and use Machine Learning (ML) Models in data flows.

Topics

• Create an ML Model Data Entity in the Data Flow editor
  To use ML models in Data Transforms you need to create two data flows. You need to first build the ML model data entity using the Data Flow editor, and then you can use the data entity in a data flow to mine data from a source connection and load it into a target server.
• ML Model Data Entity Properties
  The Properties tab of the Add Data Entity wizard provides data mining options that you can use to define the ML Model data entity.
• Use ML Model in a Data Flow
  You can use the Prediction Model database function to run ML Model algorithms on source data and load the output to a target database.