Creating a Classifier Model from a Data Object
Use a data object as the source for classifier model data.
A classifier model performs optimally when you use the input data from the Classifier transformation as the source for the model reference data. For example, you can run a profile on the transformation object in the mapping. Create a data object from the profile results.
1. In Object Explorer, open or create a content set.
2. Select the Content view.
3. Select Classifier Models, and click Add.
The Classifier Model wizard opens.
4. Enter a name for the classifier model.
Optionally, enter a text description of the model.
5. Browse the Model repository and select the data object that contains the reference data.
Click Next.
6. Review the columns on the data object, and select a column to add as reference data values or label values for the model.
- - To add a data column as reference data, select the column name and click Data.
- - To use a data column as a source for label values, select the column name and click Label.
Click Next.
7. Select the number of rows to copy from the data source.
Select all rows, or enter the number of rows to copy. If you enter a number, the model counts the rows from the start of the data set.
8. Click Finish and save the model.
After you create the classifier model, compile the model.