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. Match Transformation
  30. Match Transformations in Field Analysis
  31. Match Transformations in Identity Analysis
  32. Normalizer Transformation
  33. Merge Transformation
  34. Parser Transformation
  35. Python Transformation
  36. Rank Transformation
  37. Read Transformation
  38. Relational to Hierarchical Transformation
  39. REST Web Service Consumer Transformation
  40. Router Transformation
  41. Sequence Generator Transformation
  42. Sorter Transformation
  43. SQL Transformation
  44. Standardizer Transformation
  45. Union Transformation
  46. Update Strategy Transformation
  47. Web Service Consumer Transformation
  48. Parsing Web Service SOAP Messages
  49. Generating Web Service SOAP Messages
  50. Weighted Average Transformation
  51. Window Transformation
  52. Write Transformation
  53. 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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