Table of Contents

Search

  1. Preface
  2. Transformations
  3. Source transformation
  4. Target transformation
  5. Access Policy transformation
  6. Aggregator transformation
  7. B2B transformation
  8. Cleanse transformation
  9. Data Masking transformation
  10. Data Services transformation
  11. Deduplicate transformation
  12. Expression transformation
  13. Filter transformation
  14. Hierarchy Builder transformation
  15. Hierarchy Parser transformation
  16. Hierarchy Processor transformation
  17. Input transformation
  18. Java transformation
  19. Java transformation API reference
  20. Joiner transformation
  21. Labeler transformation
  22. Lookup transformation
  23. Machine Learning transformation
  24. Mapplet transformation
  25. Normalizer transformation
  26. Output transformation
  27. Parse transformation
  28. Python transformation
  29. Rank transformation
  30. Router transformation
  31. Rule Specification transformation
  32. Sequence transformation
  33. Sorter transformation
  34. SQL transformation
  35. Structure Parser transformation
  36. Transaction Control transformation
  37. Union transformation
  38. Velocity transformation
  39. Verifier transformation
  40. Web Services transformation

Transformations

Transformations

Labeler transformation output fields

Labeler transformation output fields

A Labeler transformation creates one or more output fields to contain the outcome of the labeling operation. The number of fields depends on whether the labeler asset in the transformation specifies a token labeling or character labeling operation. View the output fields on the
Output Fields
tab of the
Properties
panel. The tab displays the name, type, precision, and scale of the output fields.

Token labeling output

The Labeler transformation creates the following output fields in token labeling mode:
LabeledOutput
A copy of the input field data in which any value that matches the labeling criteria is replaced with the label that the asset specifies.
TokenizedData
A copy of the input field data. If the labeler asset reads a dictionary, the transformation may replace any input value that matches a dictionary value with an alternative value from the dictionary. A Data Quality user can configure the labeler asset to replace the input values with the alternative values.
The transformation copies any value in the input field that the labeling operation does not identify to each output field.

Character labeling output

The Labeler transformation creates the following output field in character labeling mode:
LabeledOutput
A copy of the input field data in which any character that matches the labeling criteria is replaced with the label that the asset specifies.
The field can contain character labels and characters from the input data to which a label does not apply.

0 COMMENTS

We’d like to hear from you!