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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

Back Next

Configuring a Classifier Strategy

Configuring a Classifier Strategy

You configure a strategy to identify the types of information in the data. Each strategy analyzes an input port.
In a nonreusable transformation, connect input ports to the transformation before you configure the strategy.
  1. Open the transformation and select the
    Strategies
     view.
  2. Click
    New Strategy
    .
    The strategy creation wizard opens.
  3. Enter a name and optional description for the strategy.
  4. Select an input port from the Inputs field.
  5. Verify that the input port precision value is high enough to read all fields on the input port. The port truncates the input data when it reaches the precision limit.
  6. Select or clear the option to add score data to the strategy output.
  7. Click
    Next
    .
  8. Confirm the type of classifier operation, and click
    Next
    .
  9. Select a classifier algorithm. You can select the following algorithms:
    • Naive Bayes
    • Maximum entropy
    To identify the language used in the source data, select the maximum entropy algorithm.
  10. Verify the output port.
    The transformation creates a single output port for each operation in a strategy. You can edit the port name and precision.
  11. Select a classifier model.
    The wizard lists the classifier model objects in the Model repository.
  12. Click
    Next
     to add another operation to the strategy. Otherwise, click
    Finish
    .
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