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## weka.filters.unsupervised.attribute
Class AddNoise

    java.lang.Object
      weka.filters.Filter
          weka.filters.unsupervised.attribute.AddNoise

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

    public class AddNoise

extends Filter
implements UnsupervisedFilter, OptionHandler

Introduces noise data a random subsample of the dataset by changing a given attribute (attribute must be nominal) Valid options are:

-C col
Index of the attribute to be changed. (default last)

-M
flag: missing values are treated as an extra value

-P num
Percentage of noise to be introduced to the data (default 10).

-S seed
Random number seed for choosing the data to be changed

and for choosing the value it is changed to (default 1).

Version:
  $Revision: 1.2.2.2 $
Author:
  Gabi Schmidberger (gabi@cs.waikato.ac.nz)
See Also:
  Serialized Form

Constructor Summary
`AddNoise()`

Method Summary
`void` | `addNoise(Instances instances, int seed, int percent, int attIndex, boolean useMissing)` add noise to the dataset a given percentage of the instances are changed in the way, that a set of instances are randomly selected using seed.
`java.lang.String` | `attIndexSetTipText()` Returns the tip text for this property
`boolean` | `batchFinished()` Signify that this batch of input to the filter is finished.
`java.lang.String` | `getAttributeIndex()` Get the index of the attribute used.
`java.lang.String[]` | `getOptions()` Gets the current settings of the filter.
`int` | `getPercent()` Gets the size of noise data as a percentage of the original set.
`int` | `getRandomSeed()` Gets the random number seed.
`boolean` | `getUseMissing()` Gets the flag if missing values are treated as extra values.
`java.lang.String` | `globalInfo()` Returns a string describing this filter
`boolean` | `input(Instance instance)` Input an instance for filtering.
`java.util.Enumeration` | `listOptions()` Returns an enumeration describing the available options
`static void` | `main(java.lang.String[] argv)` Main method for testing this class.
`java.lang.String` | `percentTipText()` Returns the tip text for this property
`java.lang.String` | `randomSeedTipText()` Returns the tip text for this property
`void` | `setAttributeIndex(java.lang.String attIndex)` Sets index of the attribute used.
`boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.
`void` | `setOptions(java.lang.String[] options)` Parses a list of options for this object.
`void` | `setPercent(int newPercent)` Sets the size of noise data, as a percentage of the original set.
`void` | `setRandomSeed(int newSeed)` Sets the random number seed.
`void` | `setUseMissing(boolean newUseMissing)` Sets the flag if missing values are treated as extra values.
`java.lang.String` | `useMissingTipText()` Returns the tip text for this property

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

### AddNoise

    public AddNoise()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this filter

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

### listOptions

    public java.util.Enumeration listOptions()

  Returns an enumeration describing the available options

  Specified by:
    `listOptions` in interface `OptionHandler`
  Returns:
    an enumeration of all the available options

### setOptions

    public void setOptions(java.lang.String[] options)
                    throws java.lang.Exception

  Parses a list of options for this object. Valid options are:

  -C col
  Index of the attribute to be changed. (default last)

  -M
  missing values are treated as an extra value

  -P num
  Specify the percentage of noise introduced to the data (default 10).

  -S num
  Specify the random number seed (default 1).

  Specified by:
    `setOptions` in interface `OptionHandler`
  Parameters:
    `options` - the list of options as an array of strings
  Throws:
    `java.lang.Exception` - if an option is not supported

### getOptions

    public java.lang.String[] getOptions()

  Gets the current settings of the filter.

  Specified by:
    `getOptions` in interface `OptionHandler`
  Returns:
    an array of strings suitable for passing to setOptions

### useMissingTipText

    public java.lang.String useMissingTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getUseMissing

    public boolean getUseMissing()

  Gets the flag if missing values are treated as extra values.

  Returns:
    the flag missing values.

### setUseMissing

    public void setUseMissing(boolean newUseMissing)

  Sets the flag if missing values are treated as extra values.

  Parameters:
    `newUseMissing` - the new flag value.

### randomSeedTipText

    public java.lang.String randomSeedTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getRandomSeed

    public int getRandomSeed()

  Gets the random number seed.

  Returns:
    the random number seed.

### setRandomSeed

    public void setRandomSeed(int newSeed)

  Sets the random number seed.

  Parameters:
    `newSeed` - the new random number seed.

### percentTipText

    public java.lang.String percentTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getPercent

    public int getPercent()

  Gets the size of noise data as a percentage of the original set.

  Returns:
    the noise data size

### setPercent

    public void setPercent(int newPercent)

  Sets the size of noise data, as a percentage of the original set.

  Parameters:
    `newPercent` - the subsample set size, between 0 and 100.

### attIndexSetTipText

    public java.lang.String attIndexSetTipText()

  Returns the tip text for this property

  Returns:
    tip text for this property suitable for displaying in the explorer/experimenter gui

### getAttributeIndex

    public java.lang.String getAttributeIndex()

  Get the index of the attribute used.

  Returns:
    the index of the attribute

### setAttributeIndex

    public void setAttributeIndex(java.lang.String attIndex)

  Sets index of the attribute used.

  Parameters:
    `index` - the index of the attribute

### setInputFormat

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

  Sets the format of the input instances.

  Overrides:
    `setInputFormat` in class `Filter`
  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:
    `java.lang.Exception` - if the input format can't be set successfully

### input

    public boolean input(Instance instance)
                  throws java.lang.Exception

  Input an instance for filtering.

  Overrides:
    `input` in class `Filter`
  Parameters:
    `instance` - the input instance
  Returns:
    true if the filtered instance may now be collected with output().
  Throws:
    `java.lang.Exception` - if the input format was not set

### batchFinished

    public boolean batchFinished()
                          throws java.lang.Exception

  Signify that this batch of input to the filter is finished. If the filter requires all instances prior to filtering, output() may now be called to retrieve the filtered instances.

  Overrides:
    `batchFinished` in class `Filter`
  Returns:
    true if there are instances pending output
  Throws:
    `java.lang.Exception` - if no input structure has been defined

### addNoise

    public void addNoise(Instances instances,
                         int seed,
                         int percent,
                         int attIndex,
                         boolean useMissing)

  add noise to the dataset a given percentage of the instances are changed in the way, that a set of instances are randomly selected using seed. The attribute given by its index is changed from its current value to one of the other possibly ones, also randomly. This is done with leaving the apportion the same. if m_UseMissing is true, missing value is used as a value of its own

  Parameters:
    `instances` - is the dataset
    `seed` - used for random function
    `percent` - percentage of instances that are changed
    `attIndex` - index of the attribute changed
    `useMissingValue` - if true missing values are treated as extra value

### 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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