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## weka.attributeSelection
Interface AttributeTransformer

All Known Implementing Classes:
  LatentSemanticAnalysis, PrincipalComponents

    public interface AttributeTransformer

Abstract attribute transformer. Transforms the dataset.

Version:
  $Revision: 4613 $
Author:
  Mark Hall (mhall@cs.waikato.ac.nz)

Method Summary
`Instance` | `convertInstance(Instance instance)` Transforms an instance in the format of the original data to the transformed space
`Instances` | `transformedData(Instances data)` Transform the supplied data set (assumed to be the same format as the training data)
`Instances` | `transformedHeader()` Returns just the header for the transformed data (ie.

Method Detail

### transformedHeader

    Instances transformedHeader()
                                throws java.lang.Exception

  Returns just the header for the transformed data (ie. an empty set of instances. This is so that AttributeSelection can determine the structure of the transformed data without actually having to get all the transformed data through getTransformedData().

  Returns:
    the header of the transformed data.
  Throws:
    `java.lang.Exception` - if the header of the transformed data can't be determined.

### transformedData

    Instances transformedData(Instances data)
                              throws java.lang.Exception

  Transform the supplied data set (assumed to be the same format as the training data)

  Returns:
    A set of instances representing the transformed data
  Throws:
    `java.lang.Exception` - if the attribute could not be evaluated

### convertInstance

    Instance convertInstance(Instance instance)
                             throws java.lang.Exception

  Transforms an instance in the format of the original data to the transformed space

  Returns:
    a transformed instance
  Throws:
    `java.lang.Exception` - if the instance could not be transformed

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