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

General Properties

General Properties

General properties apply to all token labeling operations you define in the strategy. You use the general properties to name the strategy, specify input and output ports, and specify whether the strategy enables probabilistic matching techniques.
The following table describes the general properties:
Property
Description
Name
Provides a name for the strategy.
Inputs
Identifies the output port that the strategy operations can read.
Outputs
Identifies the output port that the strategy operations can write to.
Description
Describes the strategy. The property is optional.
Use probabilistic matching techniques
Specifies that the strategy can use a probabilistic model to identify token types.
Reverse Enabled
Indicates that the strategy reads input data from right to left. This property is disabled for probabilistic matching.
Delimiters
Specifies the characters that the transformation uses to evaluate substrings in input data. Default is space.
The property is disabled in probabilistic labeling.
Tokenized Output Field
Indicates that the strategy writes multiple labels to an output port. Select this field to create input data for pattern-based parsing in the Parser transformation.
Score Output Field
Identifies the field that contains the score values generated in probabilistic matching. Set the score output field when you select the option to use probabilistic matching techniques.
Output Delimiter
Specifies a character to separate data values on the output port. Default is colon.

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