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

Classifier Models

Classifier Models

The Classifier transformation uses a reference data object called a classifier model to analyze input data. You select the classifier model when you configure a Classifier transformation. The transformation compares a column of input data with the classifier model data and returns a label that describes the type of information in each input field.
A classifier model contains reference data rows and label values. The rows represent the input data on the port that you might connect to the Classifier transformation. The label values describe the types of information that the data rows contain. When you configure a classifier model, you assign a label to each reference data row in the model.
To link the reference data rows to the labels in a classifier model, you compile the model. The compilation process generates a series of logical associations between the data rows and the label values. When you run a mapping that reads the model, the Data Integration Service applies the model logic to the Classifier transformation input data. The Data Integration Service returns the labels that most accurately describe the information in each input data field.
You create a classifier model in the Developer tool. The Model repository stores the classifier model object. The Developer tool writes the data rows, the labels, and the compilation data to a file in the Informatica directory structure.

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