You can create custom model configurations by specifying the table columns and properties that you want to predict.

You construct models from cases, which you construct from the data in the Data Warehouse. A model configuration maps tables in the Data Warehouse to define the structure of a case. Data must be imported into the Data Warehouse before you can use the data to build models. For information about importing data into the Data Warehouse, see Importing Data into the Data Warehouse.

This section contains:

• Cases
• Predictor Tables in the Data Warehouse
• Dense Table
• Sparse Table