Reference Data Guide

10.5.9
- 10.5.8
- 10.5.7
- 10.5.6
- 10.5.1
- 10.5
- 10.4.1
- 10.4.0
- 10.2.2

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Classifier Model Configuration

The steps to configure a classifier model begin with the data that you want to classify. The content of the reference data that you add to the model must reflect the data that you connect to the Classifier transformation. The transformation compares the data values and patterns in the input data to the data values and patterns in the classifier model.

To create a classifier model that you can use in a Classifier transformation, perform the following tasks:

Identify the reference data values and the label values to add to the model.

You can use a fragment of the data that you want to classify. Create a data object in the Model repository that reads the data fragment.

Create a content set, and add a classifier model to the content set.

Add the reference data values to the model.

Add the label values to the model.

You can import the data from the data object in the Model repository. You can also enter a single row of reference data or a single label.

Assign a label to each row of reference data.

You can assign a label to multiple rows in a single operation.

Compile the model.

After you compile the classifier model, you can use the model in a Classifier transformation.

Classifier Models