Table of Contents

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  1. Preface
  2. Introduction to Transformations
  3. Transformation Ports
  4. Transformation Caches
  5. Address Validator Transformation
  6. Aggregator Transformation
  7. Association Transformation
  8. Bad Record Exception Transformation
  9. Case Converter Transformation
  10. Classifier Transformation
  11. Comparison Transformation
  12. Consolidation Transformation
  13. Data Masking Transformation
  14. Data Processor Transformation
  15. Decision Transformation
  16. Duplicate Record Exception Transformation
  17. Expression Transformation
  18. Filter Transformation
  19. Hierarchical to Relational Transformation
  20. Java Transformation
  21. Java Transformation API Reference
  22. Java Expressions
  23. Joiner Transformation
  24. Key Generator Transformation
  25. Labeler Transformation
  26. Lookup Transformation
  27. Lookup Caches
  28. Dynamic Lookup Cache
  29. Macro Transformation
  30. Match Transformation
  31. Match Transformations in Field Analysis
  32. Match Transformations in Identity Analysis
  33. Normalizer Transformation
  34. Merge Transformation
  35. Parser Transformation
  36. Python Transformation
  37. Rank Transformation
  38. Read Transformation
  39. Relational to Hierarchical Transformation
  40. REST Web Service Consumer Transformation
  41. Router Transformation
  42. Sequence Generator Transformation
  43. Sorter Transformation
  44. SQL Transformation
  45. Standardizer Transformation
  46. Union Transformation
  47. Update Strategy Transformation
  48. Web Service Consumer Transformation
  49. Parsing Web Service SOAP Messages
  50. Generating Web Service SOAP Messages
  51. Weighted Average Transformation
  52. Window Transformation
  53. Write Transformation
  54. Appendix A: Transformation Delimiters

Developer Transformation Guide

Developer Transformation Guide

Labeler Transformation Ports

Labeler Transformation Ports

You select the input and output ports you need for the labeling operations you configure in the transformation.
Labeler transformations use the following port:
Input Ports
Reads string input from upstream objects.
Labeled Output Ports
Writes the labels defined by transformation operations.
Tokenized Output Ports
Passes input strings that correspond to each label in the output. Select this port if you will add a Parser transformation downstream of the Labeler transformation in a mapplet or mapping, and you will configure the Parser transformation to run in pattern-based parsing mode. The Parser transformation associates the token labeling output with the data on the tokenized output ports.
Score Output Ports
Select to write the score values generated by probabilistic matching techniques in a token labeling operation.
When you run a token labeling operation that uses a probabilistic model, the operation generates a numerical score for each labeled string. The score represents the degree of similarity between the input string and the patterns defined in the probabilistic model.

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