Wavelet

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

## weka.filters.unsupervised.attribute
Class Wavelet

    java.lang.Object
      weka.filters.Filter
          weka.filters.SimpleFilter
              weka.filters.SimpleBatchFilter
                  weka.filters.unsupervised.attribute.Wavelet

All Implemented Interfaces:
  java.io.Serializable, CapabilitiesHandler, OptionHandler, RevisionHandler, TechnicalInformationHandler

    public class Wavelet

extends SimpleBatchFilter
implements TechnicalInformationHandler

A filter for wavelet transformation.
For more information see:
Wikipedia (2004). Discrete wavelet transform.
Kristian Sandberg (2000). The Haar wavelet transform. University of Colorado at Boulder, USA.

BibTeX:

     @misc{Wikipedia2004,
        author = {Wikipedia},
        title = {Discrete wavelet transform},
        year = {2004},
        HTTP = {http://en.wikipedia.org/wiki/Discrete_wavelet_transform}
     }

     @misc{Sandberg2000,
        address = {University of Colorado at Boulder, USA},
        author = {Kristian Sandberg},
        institution = {Dept. of Applied Mathematics},
        title = {The Haar wavelet transform},
        year = {2000},
        HTTP = {http://amath.colorado.edu/courses/5720/2000Spr/Labs/Haar/haar.html}
     }

Valid options are:

     -D
      Turns on output of debugging information.

     -A <Haar>
      The algorithm to use.
      (default: HAAR)

     -P <Zero>
      The padding to use.
      (default: ZERO)

     -F <filter specification>
      The filter to use as preprocessing step (classname and options).
      (default: MultiFilter with ReplaceMissingValues and Normalize)

     Options specific to filter weka.filters.MultiFilter ('-F'):

     -D
      Turns on output of debugging information.

     -F <classname [options]>
      A filter to apply (can be specified multiple times).

Version:
  $Revision: 1.4 $
Author:
  FracPete (fracpete at waikato dot ac dot nz)
See Also:
  Serialized Form

Field Summary
`static int` | `ALGORITHM_HAAR` the type of algorithm: Haar wavelet
`static int` | `PADDING_ZERO` the type of padding: Zero padding
`static Tag[]` | `TAGS_ALGORITHM` the types of algorithm
`static Tag[]` | `TAGS_PADDING` the types of padding

Constructor Summary
`Wavelet()` default constructor

Method Summary
`java.lang.String` | `algorithmTipText()` Returns the tip text for this property
`java.lang.String` | `filterTipText()` Returns the tip text for this property
`SelectedTag` | `getAlgorithm()` Gets the type of algorithm to use
`Capabilities` | `getCapabilities()` Returns the Capabilities of this filter.
`Filter` | `getFilter()` Get the preprocessing filter.
`java.lang.String[]` | `getOptions()` returns the options of the current setup
`SelectedTag` | `getPadding()` Gets the type of Padding to use
`java.lang.String` | `getRevision()` Returns the revision string.
`TechnicalInformation` | `getTechnicalInformation()` Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.
`java.lang.String` | `globalInfo()` Returns a string describing this classifier.
`java.util.Enumeration` | `listOptions()` Gets an enumeration describing the available options.
`static void` | `main(java.lang.String[] args)` runs the filter with the given arguments
`java.lang.String` | `paddingTipText()` Returns the tip text for this property
`void` | `setAlgorithm(SelectedTag value)` Sets the type of algorithm to use
`void` | `setFilter(Filter value)` Set the preprocessing filter (only used for setup).
`void` | `setOptions(java.lang.String[] options)` Parses the options for this object.
`void` | `setPadding(SelectedTag value)` Sets the type of Padding to use

Methods inherited from class weka.filters.SimpleBatchFilter
`batchFinished, input`

Methods inherited from class weka.filters.SimpleFilter
`debugTipText, getDebug, setDebug, setInputFormat`

Methods inherited from class weka.filters.Filter
`batchFilterFile, filterFile, getCapabilities, getOutputFormat, isFirstBatchDone, isNewBatch, isOutputFormatDefined, makeCopies, makeCopy, numPendingOutput, output, outputPeek, toString, useFilter, wekaStaticWrapper`

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

Field Detail

### ALGORITHM_HAAR

    public static final int ALGORITHM_HAAR

  the type of algorithm: Haar wavelet

  See Also:
    Constant Field Values

### TAGS_ALGORITHM

    public static final Tag[] TAGS_ALGORITHM

  the types of algorithm

### PADDING_ZERO

    public static final int PADDING_ZERO

  the type of padding: Zero padding

  See Also:
    Constant Field Values

### TAGS_PADDING

    public static final Tag[] TAGS_PADDING

  the types of padding

Constructor Detail

### Wavelet

    public Wavelet()

  default constructor

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this classifier.

  Specified by:
    `globalInfo` in class `SimpleFilter`
  Returns:
    a description of the classifier suitable for displaying in the explorer/experimenter gui

### getTechnicalInformation

    public TechnicalInformation getTechnicalInformation()

  Returns an instance of a TechnicalInformation object, containing detailed information about the technical background of this class, e.g., paper reference or book this class is based on.

  Specified by:
    `getTechnicalInformation` in interface `TechnicalInformationHandler`
  Returns:
    the technical information about this class

### listOptions

    public java.util.Enumeration listOptions()

  Gets an enumeration describing the available options.

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

### getOptions

    public java.lang.String[] getOptions()

  returns the options of the current setup

  Specified by:
    `getOptions` in interface `OptionHandler`
  Overrides:
    `getOptions` in class `SimpleFilter`
  Returns:
    the current options

### setOptions

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

  Parses the options for this object.

  Valid options are:

       -D
        Turns on output of debugging information.

       -A <Haar>
        The algorithm to use.
        (default: HAAR)

       -P <Zero>
        The padding to use.
        (default: ZERO)

       -F <filter specification>
        The filter to use as preprocessing step (classname and options).
        (default: MultiFilter with ReplaceMissingValues and Normalize)

       Options specific to filter weka.filters.MultiFilter ('-F'):

       -D
        Turns on output of debugging information.

       -F <classname [options]>
        A filter to apply (can be specified multiple times).

  Specified by:
    `setOptions` in interface `OptionHandler`
  Overrides:
    `setOptions` in class `SimpleFilter`
  Parameters:
    `options` - the options to use
  Throws:
    `java.lang.Exception` - if the option setting fails
  See Also:
    `SimpleFilter.reset()`

### filterTipText

    public java.lang.String filterTipText()

  Returns the tip text for this property

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

### setFilter

    public void setFilter(Filter value)

  Set the preprocessing filter (only used for setup).

  Parameters:
    `value` - the preprocessing filter.

### getFilter

    public Filter getFilter()

  Get the preprocessing filter.

  Returns:
    the preprocessing filter

### algorithmTipText

    public java.lang.String algorithmTipText()

  Returns the tip text for this property

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

### setAlgorithm

    public void setAlgorithm(SelectedTag value)

  Sets the type of algorithm to use

  Parameters:
    `value` - the algorithm type

### getAlgorithm

    public SelectedTag getAlgorithm()

  Gets the type of algorithm to use

  Returns:
    the current algorithm type.

### paddingTipText

    public java.lang.String paddingTipText()

  Returns the tip text for this property

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

### setPadding

    public void setPadding(SelectedTag value)

  Sets the type of Padding to use

  Parameters:
    `value` - the Padding type

### getPadding

    public SelectedTag getPadding()

  Gets the type of Padding to use

  Returns:
    the current Padding type.

### getCapabilities

    public Capabilities getCapabilities()

  Returns the Capabilities of this filter.

  Specified by:
    `getCapabilities` in interface `CapabilitiesHandler`
  Overrides:
    `getCapabilities` in class `Filter`
  Returns:
    the capabilities of this object
  See Also:
    `Capabilities`

### getRevision

    public java.lang.String getRevision()

  Returns the revision string.

  Specified by:
    `getRevision` in interface `RevisionHandler`
  Returns:
    the revision

### main

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

  runs the filter with the given arguments

  Parameters:
    `args` - the commandline arguments

Overview | Package | Class | Tree | Deprecated | Index | Help | Weka's home

PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD