org.dkpro.tc.ml.svmhmm

Class SvmHmmAdapter

java.lang.Object

org.dkpro.tc.ml.svmhmm.SvmHmmAdapter

All Implemented Interfaces:

TcShallowLearningAdapter

public class SvmHmmAdapter
extends Object
implements TcShallowLearningAdapter

Wrapper for training and testing using SVM_HMM C implementation with default parameters. Consult http://www.cs.cornell.edu/people/tj/svm_light/svm_hmm.html for parameter settings.

 Parameters:
   -c      Typical SVM parameter C trading-off slack vs. magnitude of the weight-vector. 
               NOTE: The default value for this parameter is unlikely to work well for your
               particular problem. A good value for C must be selected via cross-validation, ideally
               exploring values over several orders of magnitude. NOTE: Unlike in V1.01, the value of C is
               divided by the number of training examples. So, to get results equivalent to V1.01, multiply
               C by the number of training examples. Default value is set to 1.
   -e      Parameter "-e <EPSILON>": This specifies the precision to which constraints are
               required to be satisfied by the solution. The smaller EPSILON, the longer and the more memory
               training takes, but the solution is more precise. However, solutions more accurate than 0.5
               typically do not improve prediction accuracy.
   -t      Order of dependencies of transitions in HMM. Can be any number larger than 1. (default 1)
   -m      Order of dependencies of emissions in HMM. Can be any number
               larger than 0. (default 0) UPDATE: according to svm_struct_api.c: must be either 0 or 1;
               fails for >1
   -b       A non-zero value turns on (approximate) beam search to replace
               the exact Viterbi algorithm both for finding the most violated constraint, as well as for
               computing predictions. The value is the width of the beam used (e.g. 100). (default 0).
 

Constructor Summary

Constructors

Constructor and Description
SvmHmmAdapter()

Method Summary

Modifier and Type	Method and Description
String	getDataWriterClass()
org.dkpro.lab.task.impl.DimensionBundle<Collection<String>>	getFoldDimensionBundle(String[] files, int folds)
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

SvmHmmAdapter

public SvmHmmAdapter()

Method Detail

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