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:
OptionHandler, java.io.Serializable, 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 $
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


Copyright (c) 2003 David Lindsay, Computer Learning Research Centre, Dept. Computer Science, Royal Holloway, University of London