Field settings

Use frequency field. This option enables you to select a field as a frequency weight. Use this if the records in your training data represent more than one unit each; for example, if you are using aggregated data. The field values should be the number of units represented by each record.

Use weight field. This option enables you to select a field as a case weight. Case weights are used to account for differences in variance across levels of the output field.

How to handle fields that are excluded from modeling. Specify what happens to excluded fields; you can choose either to filter them out of the data or simply set their Role to None.

Note: This action will also be applied to the target if it is transformed. For example, if the new derived version of the target is used as the Target field, the original target is either filtered or set to None.

If the incoming fields do not match the existing analysis. Specify what happens if one or more required input fields are missing from the incoming dataset when you execute a trained ADP node.

Stop execution and keep the existing analysis. This stops the execution process, preserves the current analysis information, and displays an error.
Clear the existing analysis and analyze the new data. This clears the existing analysis, analyzes the incoming data, and applies the recommended transformations to that data.