org.dkpro.tc.ml.liblinear

Class LiblinearAdapter

java.lang.Object

org.dkpro.tc.ml.liblinear.LiblinearAdapter

All Implemented Interfaces:

TcShallowLearningAdapter

public class LiblinearAdapter
extends Object
implements TcShallowLearningAdapter

  -s type : set type of solver (default 1)
      0 -- L2-regularized logistic regression (primal)
      1 -- L2-regularized L2-loss support vector classification (dual)
      2 -- L2-regularized L2-loss support vector classification (primal)
      3 -- L2-regularized L1-loss support vector classification (dual)
      4 -- multi-class support vector classification by Crammer and Singer
      5 -- L1-regularized L2-loss support vector classification
      6 -- L1-regularized logistic regression
      7 -- L2-regularized logistic regression (dual)
     11 -- L2-regularized L2-loss support vector regression (dual)
     12 -- L2-regularized L1-loss support vector regression (dual)
     13 -- L2-regularized L2-loss support vector regression (primal)
  -c cost : set the parameter C (default 1)
  -e epsilon : set tolerance of termination criterion
    -s 0 and 2
        |f'(w)|_2 <= eps*min(pos,neg)/l*|f'(w0)|_2,
        where f is the primal function and pos/neg are # of
        positive/negative data (default 0.01)
    -s 1, 3, 4 and 7
       Dual maximal violation <= eps; similar to libsvm (default 0.1)
    -s 5 and 6
       |f'(w)|_inf &le; eps*min(pos,neg)/l*|f'(w0)|_inf,
       where f is the primal function (default 0.01)
  -B bias : if bias &ge 0, instance x becomes [x; bias]; if &lt; 0, no bias term added (default -1)
  -wi weight: weights adjust the parameter C of different classes (see README for details)
  
 

Constructor Summary

Constructors

Constructor and Description
LiblinearAdapter()

Method Summary

Modifier and Type	Method and Description
String	getDataWriterClass()
org.dkpro.lab.task.impl.DimensionBundle<Collection<String>>	getFoldDimensionBundle(String[] files, int folds)
static TcShallowLearningAdapter	getInstance()
Class<? extends ModelSerialization_ImplBase>	getLoadModelConnectorClass()
Class<? extends org.dkpro.lab.reporting.ReportBase>	getMajorityClassBaselineIdReportClass()
String	getName()
Class<? extends org.dkpro.lab.reporting.ReportBase>	getOutcomeIdReportClass()
Class<? extends org.dkpro.lab.reporting.ReportBase>	getRandomBaselineIdReportClass()
ModelSerializationTask	getSaveModelTask()
org.dkpro.lab.task.impl.ExecutableTaskBase	getTestTask()
String	toString()
boolean	useSparseFeatures()

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Constructor Detail

LiblinearAdapter

public LiblinearAdapter()

Method Detail

getInstance

public static TcShallowLearningAdapter getInstance()

getTestTask

public org.dkpro.lab.task.impl.ExecutableTaskBase getTestTask()

Specified by:

getTestTask in interface TcShallowLearningAdapter

getOutcomeIdReportClass

public Class<? extends org.dkpro.lab.reporting.ReportBase> getOutcomeIdReportClass()

Specified by:

getOutcomeIdReportClass in interface TcShallowLearningAdapter

getMajorityClassBaselineIdReportClass

public Class<? extends org.dkpro.lab.reporting.ReportBase> getMajorityClassBaselineIdReportClass()

Specified by:

getMajorityClassBaselineIdReportClass in interface TcShallowLearningAdapter

getRandomBaselineIdReportClass

public Class<? extends org.dkpro.lab.reporting.ReportBase> getRandomBaselineIdReportClass()

Specified by:

getRandomBaselineIdReportClass in interface TcShallowLearningAdapter

getFoldDimensionBundle

public org.dkpro.lab.task.impl.DimensionBundle<Collection<String>> getFoldDimensionBundle(String[] files,
                                                                                          int folds)

Specified by:

getFoldDimensionBundle in interface TcShallowLearningAdapter

getDataWriterClass

public String getDataWriterClass()

Specified by:

getDataWriterClass in interface TcShallowLearningAdapter

getLoadModelConnectorClass

public Class<? extends ModelSerialization_ImplBase> getLoadModelConnectorClass()

Specified by:

getLoadModelConnectorClass in interface TcShallowLearningAdapter

getSaveModelTask

public ModelSerializationTask getSaveModelTask()

Specified by:

getSaveModelTask in interface TcShallowLearningAdapter

useSparseFeatures

public boolean useSparseFeatures()

Specified by:

useSparseFeatures in interface TcShallowLearningAdapter

toString

public String toString()

Overrides:

toString in class Object

getName

public String getName()

Specified by:

getName in interface TcShallowLearningAdapter