ReservoirSample

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.instance
Class ReservoirSample

    java.lang.Object
      weka.filters.Filter
          weka.filters.unsupervised.instance.ReservoirSample

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

    public class ReservoirSample

extends Filter
implements UnsupervisedFilter, OptionHandler, StreamableFilter

Produces a random subsample of a dataset using the reservoir sampling Algorithm "R" by Vitter. The original data set does not have to fit into main memory, but the reservoir does.

BibTeX:

     @article{Vitter1985,
        author = {J. S. Vitter},
        journal = {ACM Transactions on Mathematical Software},
        number = {1}
        volume = {11}
        pages = {37-57},
        title = {Random Sampling with a Reservoir},
        year = {1985}
     }

Valid options are:

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

     -Z <num>
      The size of the output dataset - number of instances
      (default 100)

Version:
  $Revision: 4604 $
Author:
  Mark Hall (mhall{[at]}pentaho{[dot]}org)
See Also:
  Serialized Form

Constructor Summary
`ReservoirSample()`

Method Summary
`boolean` | `batchFinished()` Signify that this batch of input to the filter is finished.
`Capabilities` | `getCapabilities()` Returns the Capabilities of this filter.
`java.lang.String[]` | `getOptions()` Gets the current settings of the filter.
`int` | `getRandomSeed()` Gets the random number seed.
`java.lang.String` | `getRevision()` Returns the revision string.
`int` | `getSampleSize()` Gets the subsample size.
`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` | `randomSeedTipText()` Returns the tip text for this property
`java.lang.String` | `sampleSizeTipText()` Returns the tip text for this property
`boolean` | `setInputFormat(Instances instanceInfo)` Sets the format of the input instances.
`void` | `setOptions(java.lang.String[] options)` Parses a given list of options.
`void` | `setRandomSeed(int newSeed)` Sets the random number seed.
`void` | `setSampleSize(int newSampleSize)` Sets the size of the subsample.

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`

Constructor Detail

### ReservoirSample

    public ReservoirSample()

Method Detail

### globalInfo

    public java.lang.String globalInfo()

  Returns a string describing this filter

  Returns:
    a description of the classifier 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 given list of options.

  Valid options are:

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

       -Z <num>
        The size of the output dataset - number of instances
        (default 100)

  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

### 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.

### sampleSizeTipText

    public java.lang.String sampleSizeTipText()

  Returns the tip text for this property

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

### getSampleSize

    public int getSampleSize()

  Gets the subsample size.

  Returns:
    the subsample size

### setSampleSize

    public void setSampleSize(int newSampleSize)

  Sets the size of the subsample.

  Parameters:
    `newSampleSize` - size of the subsample.

### 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`

### 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)

  Input an instance for filtering. Filter requires all training instances be read before producing output.

  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.IllegalStateException` - if no input structure has been defined

### batchFinished

    public boolean batchFinished()

  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.IllegalStateException` - if no input structure has been defined

### 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[] argv)

  Main method for testing this class.

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

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