TLD

java.lang.Object
- weka.classifiers.AbstractClassifier
- - weka.classifiers.RandomizableClassifier
  - - weka.classifiers.mi.TLD

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, weka.classifiers.Classifier, weka.core.BatchPredictor, weka.core.CapabilitiesHandler, weka.core.CapabilitiesIgnorer, weka.core.CommandlineRunnable, weka.core.MultiInstanceCapabilitiesHandler, weka.core.OptionHandler, weka.core.Randomizable, weka.core.RevisionHandler, weka.core.TechnicalInformationHandler
```
public class TLD
extends weka.classifiers.RandomizableClassifier
implements weka.core.OptionHandler, weka.core.MultiInstanceCapabilitiesHandler, weka.core.TechnicalInformationHandler
```
Two-Level Distribution approach, changes the starting value of the searching algorithm, supplement the cut-off modification and check missing values.

For more information see:

Xin Xu (2003). Statistical learning in multiple instance problem. Hamilton, NZ.
BibTeX:
```
 @mastersthesis{Xu2003,
    address = {Hamilton, NZ},
    author = {Xin Xu},
    note = {0657.594},
    school = {University of Waikato},
    title = {Statistical learning in multiple instance problem},
    year = {2003}
 }
 
```
Valid options are:
```
 -C
  Set whether or not use empirical
  log-odds cut-off instead of 0
 
```
```
 -R <numOfRuns>
  Set the number of multiple runs 
  needed for searching the MLE.
 
```
```
 -S <num>
  Random number seed.
  (default 1)
 
```
Version:

$Revision: 10369 $

Author:

Eibe Frank (eibe@cs.waikato.ac.nz), Xin Xu (xx5@cs.waikato.ac.nz)

See Also:

Serialized Form

Field Summary

Fields
Modifier and Type Field and Description

static double ZERO
The very small number representing zero
- Fields inherited from class weka.classifiers.AbstractClassifier
  BATCH_SIZE_DEFAULT, NUM_DECIMAL_PLACES_DEFAULT

Fields
Modifier and Type	Field and Description
`static double`	`ZERO` The very small number representing zero

Constructor Summary

Constructors
Constructor and Description

TLD()

Constructors
Constructor and Description
`TLD()`

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`void`	`buildClassifier(weka.core.Instances exs)`
`double`	`classifyInstance(weka.core.Instance ex)`
`weka.core.Capabilities`	`getCapabilities()` Returns default capabilities of the classifier.
`weka.core.Capabilities`	`getMultiInstanceCapabilities()` Returns the capabilities of this multi-instance classifier for the relational data.
`int`	`getNumRuns()` Returns the number of runs to perform.
`java.lang.String[]`	`getOptions()` Gets the current settings of the Classifier.
`java.lang.String`	`getRevision()` Returns the revision string.
`weka.core.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.
`boolean`	`getUsingCutOff()` Returns whether an empirical cutoff is used
`java.lang.String`	`globalInfo()` Returns a string describing this filter
`java.util.Enumeration<weka.core.Option>`	`listOptions()` Returns an enumeration describing the available options
`static void`	`main(java.lang.String[] args)` Main method for testing.
`java.lang.String`	`numRunsTipText()` Returns the tip text for this property
`void`	`setNumRuns(int numRuns)` Sets the number of runs to perform.
`void`	`setOptions(java.lang.String[] options)` Parses a given list of options.
`void`	`setUsingCutOff(boolean cutOff)` Sets whether to use an empirical cutoff.
`java.lang.String`	`usingCutOffTipText()` Returns the tip text for this property

Methods inherited from class weka.classifiers.RandomizableClassifier
getSeed, seedTipText, setSeed

Methods inherited from class weka.classifiers.AbstractClassifier
batchSizeTipText, debugTipText, distributionForInstance, distributionsForInstances, doNotCheckCapabilitiesTipText, forName, getBatchSize, getDebug, getDoNotCheckCapabilities, getNumDecimalPlaces, implementsMoreEfficientBatchPrediction, makeCopies, makeCopy, numDecimalPlacesTipText, postExecution, preExecution, run, runClassifier, setBatchSize, setDebug, setDoNotCheckCapabilities, setNumDecimalPlaces

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

Methods inherited from interface weka.core.OptionHandler
makeCopy

- Field Detail
  - ZERO
```
public static double ZERO
```
    The very small number representing zero
- Constructor Detail
  - TLD
```
public TLD()
```
- 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
  - getTechnicalInformation
```
public weka.core.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 weka.core.TechnicalInformationHandler
    
    Returns:
    
    the technical information about this class
  - getCapabilities
```
public weka.core.Capabilities getCapabilities()
```
    Returns default capabilities of the classifier.
    
    Specified by:
    
    getCapabilities in interface weka.classifiers.Classifier
    
    Specified by:
    
    getCapabilities in interface weka.core.CapabilitiesHandler
    
    Overrides:
    
    getCapabilities in class weka.classifiers.AbstractClassifier
    
    Returns:
    
    the capabilities of this classifier
  - getMultiInstanceCapabilities
```
public weka.core.Capabilities getMultiInstanceCapabilities()
```
    Returns the capabilities of this multi-instance classifier for the relational data.
    
    Specified by:
    
    getMultiInstanceCapabilities in interface weka.core.MultiInstanceCapabilitiesHandler
    
    Returns:
    
    the capabilities of this object
    
    See Also:
    
    Capabilities
  - buildClassifier
```
public void buildClassifier(weka.core.Instances exs)
                     throws java.lang.Exception
```
    Specified by:
    
    buildClassifier in interface weka.classifiers.Classifier
    
    Parameters:
    
    exs - the training exemplars
    
    Throws:
    
    java.lang.Exception - if the model cannot be built properly
  - classifyInstance
```
public double classifyInstance(weka.core.Instance ex)
                        throws java.lang.Exception
```
    Specified by:
    
    classifyInstance in interface weka.classifiers.Classifier
    
    Overrides:
    
    classifyInstance in class weka.classifiers.AbstractClassifier
    
    Parameters:
    
    ex - the given test exemplar
    
    Returns:
    
    the classification
    
    Throws:
    
    java.lang.Exception - if the exemplar could not be classified successfully
  - listOptions
```
public java.util.Enumeration<weka.core.Option> listOptions()
```
    Returns an enumeration describing the available options
    
    Specified by:
    
    listOptions in interface weka.core.OptionHandler
    
    Overrides:
    
    listOptions in class weka.classifiers.RandomizableClassifier
    
    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:
```
 -C
  Set whether or not use empirical
  log-odds cut-off instead of 0
 
```
```
 -R <numOfRuns>
  Set the number of multiple runs 
  needed for searching the MLE.
 
```
```
 -S <num>
  Random number seed.
  (default 1)
 
```
    Specified by:
    
    setOptions in interface weka.core.OptionHandler
    
    Overrides:
    
    setOptions in class weka.classifiers.RandomizableClassifier
    
    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 Classifier.
    
    Specified by:
    
    getOptions in interface weka.core.OptionHandler
    
    Overrides:
    
    getOptions in class weka.classifiers.RandomizableClassifier
    
    Returns:
    
    an array of strings suitable for passing to setOptions
  - numRunsTipText
```
public java.lang.String numRunsTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - setNumRuns
```
public void setNumRuns(int numRuns)
```
    Sets the number of runs to perform.
    
    Parameters:
    
    numRuns - the number of runs to perform
  - getNumRuns
```
public int getNumRuns()
```
    Returns the number of runs to perform.
    
    Returns:
    
    the number of runs to perform
  - usingCutOffTipText
```
public java.lang.String usingCutOffTipText()
```
    Returns the tip text for this property
    
    Returns:
    
    tip text for this property suitable for displaying in the explorer/experimenter gui
  - setUsingCutOff
```
public void setUsingCutOff(boolean cutOff)
```
    Sets whether to use an empirical cutoff.
    
    Parameters:
    
    cutOff - whether to use an empirical cutoff
  - getUsingCutOff
```
public boolean getUsingCutOff()
```
    Returns whether an empirical cutoff is used
    
    Returns:
    
    true if an empirical cutoff is used
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Specified by:
    
    getRevision in interface weka.core.RevisionHandler
    
    Overrides:
    
    getRevision in class weka.classifiers.AbstractClassifier
    
    Returns:
    
    the revision
  - main
```
public static void main(java.lang.String[] args)
```
    Main method for testing.
    
    Parameters:
    
    args - the options for the classifier

Class TLD

Field Summary

Fields inherited from class weka.classifiers.AbstractClassifier

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.RandomizableClassifier

Methods inherited from class weka.classifiers.AbstractClassifier

Methods inherited from class java.lang.Object

Methods inherited from interface weka.core.OptionHandler

Field Detail

ZERO

Constructor Detail

TLD

Method Detail

globalInfo

getTechnicalInformation

getCapabilities

getMultiInstanceCapabilities

buildClassifier

classifyInstance

listOptions

setOptions

getOptions

numRunsTipText

setNumRuns

getNumRuns

usingCutOffTipText

setUsingCutOff

getUsingCutOff

getRevision

main