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## weka.filters.unsupervised.attribute
Class TimeSeriesTranslate

    java.lang.Object
      weka.filters.Filter
          weka.filters.unsupervised.attribute.AbstractTimeSeries
              weka.filters.unsupervised.attribute.TimeSeriesTranslate

All Implemented Interfaces:
  java.io.Serializable, OptionHandler, UnsupervisedFilter

Direct Known Subclasses:
  TimeSeriesDelta

    public class TimeSeriesTranslate

extends AbstractTimeSeries

An instance filter that assumes instances form time-series data and replaces attribute values in the current instance with the equivalent attribute attribute values of some previous (or future) instance. For instances where the desired value is unknown either the instance may be dropped, or missing values used.

Valid filter-specific options are:

-R index1,index2-index4,...
Specify list of columns to calculate new values for. First and last are valid indexes. (default none)

-V
Invert matching sense (i.e. calculate for all non-specified columns)

-I num
The number of instances forward to translate values between. A negative number indicates taking values from a past instance. (default -1)

-M
For instances at the beginning or end of the dataset where the translated values are not known, use missing values (default is to remove those instances).

Version:
  $Revision: 1.3.2.2 $
Author:
  Len Trigg (trigg@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`TimeSeriesTranslate()`

Method Summary
`java.lang.String` | `globalInfo()` Returns a string describing this classifier
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.

Methods inherited from class weka.filters.unsupervised.attribute.AbstractTimeSeries
`attributeIndicesTipText, batchFinished, fillWithMissingTipText, getAttributeIndices, getFillWithMissing, getInstanceRange, getInvertSelection, getOptions, input, instanceRangeTipText, invertSelectionTipText, listOptions, setAttributeIndices, setAttributeIndicesArray, setFillWithMissing, setInstanceRange, setInvertSelection, setOptions`

Methods inherited from class weka.filters.Filter
`batchFilterFile, filterFile, getOutputFormat, inputFormat, isOutputFormatDefined, numPendingOutput, output, outputFormat, outputPeek, useFilter`

Methods inherited from class java.lang.Object
`equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`

Constructor Detail

### TimeSeriesTranslate

    public TimeSeriesTranslate()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this classifier

  Returns:
    a description of the classifier suitable for displaying in the explorer/experimenter gui

### setInputFormat

    public boolean setInputFormat(Instances instanceInfo)
                           throws java.lang.Exception

  Sets the format of the input instances.

  Overrides:
    `setInputFormat` in class `AbstractTimeSeries`
  Parameters:
    `instanceInfo` - an Instances object containing the input instance structure (any instances contained in the object are ignored - only the structure is required).
  Returns:
    true if the outputFormat may be collected immediately
  Throws:
    `UnsupportedAttributeTypeException` - if selected attributes are not numeric or nominal.
    `java.lang.Exception` - if the format couldn't be set successfully

### main

    public static void main(java.lang.String[] argv)

  Main method for testing this class.

  Parameters:
    `argv` - should contain arguments to the filter: use -h for help

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