Probabilistic Model Reference Data
The reference data values in a probabilistic model represent the types of input data that a Labeler transformation or Parser transformation might read in a mapping.
You can add, edit, and delete reference data rows in the Developer tool. You can paste reference data from the clipboard. You can also use mapping source data as a source for the reference data values in a probabilistic model.
After you add the data values, create the label columns and assign a label to each data value in each row of the model.
Note: The label values in the model indicate the possible structure of the input rows that the transformation reads. Verify that the probabilistic model contains the label structure that you expect the transformation to find in the source data.
Adding a Reference Data String to a Probabilistic Model
Use the Data view to add a reference data string to a row in a probabilistic model.
1. Open the content set that contains the model.
Select the model name and click Edit.
2. Select the Data view.
3. Click New to add an empty row to the model.
4. Enter a data string in the empty row.
5. Assign a label to each value in the string.
6. Save the probabilistic model.
After you save the model, optionally compile the model.
Finding Data Values in a Probabilistic Model
Use the Data view to find the data rows in the model that contain a data value.
1. Open the content set that contains the model.
Select the model name and click Edit.
2. Select the Data view.
3. Enter a data value in the Find field.
You can also enter the following wild cards:
* ?
The Data view displays the first row in the model that contains the value that you entered.
4. Use the Up arrow or Down arrow to view each row that contain the value.