Probabilistic Model Reference Data
The reference data values in a probabilistic model represent the types of input data that a Labeler 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 the 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
You can use the keyboard to enter a reference data string to a probabilistic model.
1. Open the content set that contains the model.
Select the model name and click Edit.
2. Click New to add an empty row to the model.
3. Enter a data string to the data field.
4. Save the probabilistic model.
After you add a reference data string to a model, assign a label to each value in the string.
Copying Data Strings to a Probabilistic Model
You can copy a column of data strings to a probabilistic model from the Windows clipboard. Add the data you copy to the Data column.
1. Open a data source in a data application and select one or more cells in a data column.
2. Copy the cells to the clipboard.
3. Open the content set that contains the model.
4. Select the model name and click Edit.
5. Right-click a cell in the Data column and click Paste.
The copied cells appear in the Data column.
6. Save the probabilistic model.