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## org.maltparser.ml.libsvm
Class Libsvm

    java.lang.Object
      org.maltparser.ml.libsvm.Libsvm

All Implemented Interfaces:
  LearningMethod

    public class Libsvm

extends Object
implements LearningMethod

Implements an interface to the LIBSVM learner (currently the LIBSVM 2.91 is used). More information about LIBSVM can be found at LIBSVM -- A Library for Support Vector Machines.

Since:
  1.0
Author:
  Johan Hall

Nested Class Summary
`static class` | `Libsvm.Verbostity`

Field Summary
`protected boolean` | `excludeNullValues`
`protected int` | `learnerMode`
`static String` | `LIBSVM_VERSION`
`protected String` | `name`
`protected int` | `numberOfInstances`
`protected InstanceModel` | `owner`
`protected String` | `pathExternalSVMTrain`
`protected boolean` | `saveInstanceFiles`

Fields inherited from interface org.maltparser.ml.LearningMethod
`BATCH, CLASSIFY`

Constructor Summary
`Libsvm(InstanceModel owner, Integer learnerMode)` Constructs a LIBSVM learner.

Method Summary
`void` | `addInstance(SingleDecision decision, FeatureVector featureVector)`
`protected void` | `closeInstanceWriter()`
`Map<Integer,Integer>` | `createFeatureIdToCountMap(ArrayList<Integer> divideFeatureIndexVector)`
`double` | `crossValidate(FeatureVector featureVector, int nrOfSplits)` This method does a cross validation of the training instances added and return the average score over the nrOfSplit divisions.
`void` | `decreaseNumberOfInstances()`
`void` | `divideByFeatureSet(Set<Integer> featureIdsToCreateSeparateBranchesForSet, ArrayList<Integer> divideFeatureIndexVector, String otherId)`
`protected void` | `finalize()`
`void` | `finalizeSentence(DependencyStructure dependencyGraph)`
`protected JarEntry` | `getConfigFileEntry(String suffix)`
`DependencyParserConfig` | `getConfiguration()` Returns the current configuration
`protected File` | `getFile(String suffix)`
`protected InputStreamReader` | `getInstanceInputStreamReader(String suffix)`
`protected InputStreamReader` | `getInstanceInputStreamReaderFromConfigFile(String suffix)`
`protected OutputStreamWriter` | `getInstanceOutputStreamWriter(String suffix)`
`BufferedWriter` | `getInstanceWriter()`
`int` | `getLearnerMode()`
`String` | `getLearningMethodName()`
`int` | `getNumberOfInstances()`
`InstanceModel` | `getOwner()`
`String` | `getParamString()` Returns the parameter string for used for configure LIBSVM
`String[]` | `getSVMParamStringArray(libsvm.svm_parameter param)`
`void` | `increaseNumberOfInstances()`
`protected void` | `initParameters(libsvm.svm_parameter param)` Assign a default value to all svm parameters
`protected void` | `initSpecialParameters()`
`protected void` | `initSvmParam(String paramString)` Initialize the LIBSVM according to the parameter string
`static void` | `maltSVMFormat2OriginalSVMFormat(InputStreamReader isr, OutputStreamWriter osw, int[] cardinalities)` Converts the instance file (Malt's own SVM format) into the LIBSVM (SVMLight) format.
`void` | `moveAllInstances(LearningMethod method, FeatureFunction divideFeature, ArrayList<Integer> divideFeatureIndexVector)`
`void` | `noMoreInstances()`
`void` | `parseParameters(String paramstring, libsvm.svm_parameter param)` Parses the parameter string.
`boolean` | `predict(FeatureVector featureVector, SingleDecision decision)`
`libsvm.svm_problem` | `readProblemMaltSVMFormat(InputStreamReader isr, int[] cardinalities, libsvm.svm_parameter param)` Reads an instance file into a svm_problem object according to the Malt-SVM format, which is column fixed format (tab-separated).
`void` | `setLearnerMode(int learnerMode)`
`protected void` | `setLearningMethodName(String name)`
`protected void` | `setNumberOfInstances(int numberOfInstances)`
`protected void` | `setOwner(InstanceModel owner)`
`void` | `svm_predict_with_kbestlist(libsvm.svm_model model, libsvm.svm_node[] x, KBestList kBestList)`
`void` | `terminate()`
`String` | `toString()`
`String` | `toStringParameters(libsvm.svm_parameter param)` Returns a string containing all svm-parameters of interest
`void` | `train(FeatureVector featureVector)`

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

Field Detail

### LIBSVM_VERSION

    public static final String LIBSVM_VERSION

See Also:
  Constant Field Values

### owner

    protected InstanceModel owner

### learnerMode

    protected int learnerMode

### name

    protected String name

### numberOfInstances

    protected int numberOfInstances

### saveInstanceFiles

    protected boolean saveInstanceFiles

### excludeNullValues

    protected boolean excludeNullValues

### pathExternalSVMTrain

    protected String pathExternalSVMTrain

Constructor Detail

### Libsvm

    public Libsvm(InstanceModel owner,
                  Integer learnerMode)
           throws MaltChainedException

  Constructs a LIBSVM learner.

  Parameters:
    `owner` - the guide model owner
    `learnerMode` - the mode of the learner TRAIN or CLASSIFY
  Throws:
    `MaltChainedException`

Method Detail

### addInstance

    public void addInstance(SingleDecision decision,
                            FeatureVector featureVector)
                     throws MaltChainedException

  Specified by:
    `addInstance` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### finalizeSentence

    public void finalizeSentence(DependencyStructure dependencyGraph)
                          throws MaltChainedException

  Specified by:
    `finalizeSentence` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### noMoreInstances

    public void noMoreInstances()
                         throws MaltChainedException

  Specified by:
    `noMoreInstances` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### train

    public void train(FeatureVector featureVector)
               throws MaltChainedException

  Specified by:
    `train` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### crossValidate

    public double crossValidate(FeatureVector featureVector,
                                int nrOfSplits)
                         throws MaltChainedException

  Description copied from interface: `LearningMethod`
  This method does a cross validation of the training instances added and return the average score over the nrOfSplit divisions. This method is used by the decision tree model when deciding which parts of the tree that shall be pruned.

  Specified by:
    `crossValidate` in interface `LearningMethod`
  Returns:
    a double
  Throws:
    `MaltChainedException`

### moveAllInstances

    public void moveAllInstances(LearningMethod method,
                                 FeatureFunction divideFeature,
                                 ArrayList<Integer> divideFeatureIndexVector)
                          throws MaltChainedException

  Specified by:
    `moveAllInstances` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### predict

    public boolean predict(FeatureVector featureVector,
                           SingleDecision decision)
                    throws MaltChainedException

  Specified by:
    `predict` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### terminate

    public void terminate()
                   throws MaltChainedException

  Specified by:
    `terminate` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### getInstanceWriter

    public BufferedWriter getInstanceWriter()

  Specified by:
    `getInstanceWriter` in interface `LearningMethod`

### closeInstanceWriter

    protected void closeInstanceWriter()
                                throws MaltChainedException

  Throws:
    `MaltChainedException`

### initSvmParam

    protected void initSvmParam(String paramString)
                         throws MaltChainedException

  Initialize the LIBSVM according to the parameter string

  Parameters:
    `paramString` - the parameter string to configure the LIBSVM learner.
  Throws:
    `MaltChainedException`

### getParamString

    public String getParamString()

  Returns the parameter string for used for configure LIBSVM

  Returns:
    the parameter string for used for configure LIBSVM

### getOwner

    public InstanceModel getOwner()

### setOwner

    protected void setOwner(InstanceModel owner)

### getLearnerMode

    public int getLearnerMode()

### setLearnerMode

    public void setLearnerMode(int learnerMode)
                        throws MaltChainedException

  Throws:
    `MaltChainedException`

### getLearningMethodName

    public String getLearningMethodName()

### getConfiguration

    public DependencyParserConfig getConfiguration()
                                            throws MaltChainedException

  Returns the current configuration

  Returns:
    the current configuration
  Throws:
    `MaltChainedException`

### getNumberOfInstances

    public int getNumberOfInstances()
                             throws MaltChainedException

  Throws:
    `MaltChainedException`

### increaseNumberOfInstances

    public void increaseNumberOfInstances()

  Specified by:
    `increaseNumberOfInstances` in interface `LearningMethod`

### decreaseNumberOfInstances

    public void decreaseNumberOfInstances()

  Specified by:
    `decreaseNumberOfInstances` in interface `LearningMethod`

### setNumberOfInstances

    protected void setNumberOfInstances(int numberOfInstances)

### setLearningMethodName

    protected void setLearningMethodName(String name)

### getInstanceOutputStreamWriter

    protected OutputStreamWriter getInstanceOutputStreamWriter(String suffix)
                                                        throws MaltChainedException

  Throws:
    `MaltChainedException`

### getInstanceInputStreamReader

    protected InputStreamReader getInstanceInputStreamReader(String suffix)
                                                      throws MaltChainedException

  Throws:
    `MaltChainedException`

### getInstanceInputStreamReaderFromConfigFile

    protected InputStreamReader getInstanceInputStreamReaderFromConfigFile(String suffix)
                                                                    throws MaltChainedException

  Throws:
    `MaltChainedException`

### getFile

    protected File getFile(String suffix)
                    throws MaltChainedException

  Throws:
    `MaltChainedException`

### getConfigFileEntry

    protected JarEntry getConfigFileEntry(String suffix)
                                   throws MaltChainedException

  Throws:
    `MaltChainedException`

### readProblemMaltSVMFormat

    public final libsvm.svm_problem readProblemMaltSVMFormat(InputStreamReader isr,
                                                             int[] cardinalities,
                                                             libsvm.svm_parameter param)
                                                      throws MaltChainedException

  Reads an instance file into a svm_problem object according to the Malt-SVM format, which is column fixed format (tab-separated).

  Parameters:
    `isr` - the instance stream reader for the instance file
    `cardinalities` - a array containing the number of distinct values for a particular column.
    `param` - a svm_parameter object
  Throws:
    `LibsvmException`
    `MaltChainedException`

### initSpecialParameters

    protected void initSpecialParameters()
                                  throws MaltChainedException

  Throws:
    `MaltChainedException`

### initParameters

    protected void initParameters(libsvm.svm_parameter param)
                           throws MaltChainedException

  Assign a default value to all svm parameters

  Parameters:
    `param` - a svm_parameter object
  Throws:
    `MaltChainedException`

### toStringParameters

    public String toStringParameters(libsvm.svm_parameter param)

  Returns a string containing all svm-parameters of interest

  Parameters:
    `param` - a svm_parameter object
  Returns:
    a string containing all svm-parameters of interest

### getSVMParamStringArray

    public String[] getSVMParamStringArray(libsvm.svm_parameter param)

### parseParameters

    public void parseParameters(String paramstring,
                                libsvm.svm_parameter param)
                         throws MaltChainedException

  Parses the parameter string. The parameter string must contain parameter and value pairs, which are separated by a blank or a underscore. The parameter begins with a character '-' followed by a one-character flag and the value must comply with the parameters data type. Some examples: -s 0 -t 1 -d 2 -g 0.4 -e 0.1 -s_0_-t_1_-d_2_-g_0.4_-e_0.1

  Parameters:
    `paramstring` - the parameter string
    `param` - a svm_parameter object
  Throws:
    `LibsvmException`
    `MaltChainedException`

### svm_predict_with_kbestlist

    public void svm_predict_with_kbestlist(libsvm.svm_model model,
                                           libsvm.svm_node[] x,
                                           KBestList kBestList)
                                    throws MaltChainedException

  Throws:
    `MaltChainedException`

### maltSVMFormat2OriginalSVMFormat

    public static void maltSVMFormat2OriginalSVMFormat(InputStreamReader isr,
                                                       OutputStreamWriter osw,
                                                       int[] cardinalities)
                                                throws MaltChainedException

  Converts the instance file (Malt's own SVM format) into the LIBSVM (SVMLight) format. The input instance file is removed (replaced) by the instance file in the LIBSVM (SVMLight) format. If a column contains -1, the value will be removed in destination file.

  Parameters:
    `isr` - the input stream reader for the source instance file
    `osw` - the output stream writer for the destination instance file
    `cardinalities` - a vector containing the number of distinct values for a particular column
  Throws:
    `LibsvmException`
    `MaltChainedException`

### finalize

    protected void finalize()
                     throws Throwable

  Overrides:
    `finalize` in class `Object`
  Throws:
    `Throwable`

### toString

    public String toString()

  Overrides:
    `toString` in class `Object`

### divideByFeatureSet

    public void divideByFeatureSet(Set<Integer> featureIdsToCreateSeparateBranchesForSet,
                                   ArrayList<Integer> divideFeatureIndexVector,
                                   String otherId)
                            throws MaltChainedException

  Specified by:
    `divideByFeatureSet` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

### createFeatureIdToCountMap

    public Map<Integer,Integer> createFeatureIdToCountMap(ArrayList<Integer> divideFeatureIndexVector)
                                                   throws MaltChainedException

  Specified by:
    `createFeatureIdToCountMap` in interface `LearningMethod`
  Throws:
    `MaltChainedException`

Overview | Package | Class | Use | Tree | Deprecated | Index | Help
| MaltParser 1.4.1
PREV CLASS NEXT CLASS | FRAMES NO FRAMES
SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD

Copyright 2007-2010 Johan Hall, Jens Nilsson and Joakim Nivre.