edu.cmu.minorthird.classify
Class ClassifyCommandLineUtil.MultiTrainTestParams
java.lang.Object
edu.cmu.minorthird.util.BasicCommandLineProcessor
edu.cmu.minorthird.classify.ClassifyCommandLineUtil.BaseParams
edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainParams
edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams
edu.cmu.minorthird.classify.ClassifyCommandLineUtil.MultiTrainTestParams
- All Implemented Interfaces:
- CommandLineProcessor, Saveable
- Enclosing class:
- ClassifyCommandLineUtil
public static class ClassifyCommandLineUtil.MultiTrainTestParams
- extends ClassifyCommandLineUtil.TrainTestParams
Specific TrainTestParameters for Multi mode. Called from TrainTestParams to
specify specific data, learner, etc. Used for GUI.
Fields inherited from class edu.cmu.minorthird.classify.ClassifyCommandLineUtil.TrainTestParams |
base, clsLnr, lnr, resultToSave, resultToShow, seqLnr, sequenceSplitter, testData, testDataFilename, type, typeString |
Methods inherited from class edu.cmu.minorthird.util.BasicCommandLineProcessor |
config, config, consumeArguments, getExtensionFor, getFormatNames, help, main, processArguments, propertyList, propertyValue, restore, saveAs, shouldTerminate, tryToGetCLP, usage, usage |
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
ClassifyCommandLineUtil.MultiTrainTestParams
public ClassifyCommandLineUtil.MultiTrainTestParams()
data
public void data(java.lang.String s)
- Overrides:
data
in class ClassifyCommandLineUtil.TrainTestParams
test
public void test(java.lang.String s)
- Overrides:
test
in class ClassifyCommandLineUtil.TrainTestParams
learner
public void learner(java.lang.String s)
- Overrides:
learner
in class ClassifyCommandLineUtil.TrainTestParams
multi
public void multi(java.lang.String dim)
- Overrides:
multi
in class ClassifyCommandLineUtil.TrainTestParams
cross
public void cross()
- Overrides:
cross
in class ClassifyCommandLineUtil.TrainTestParams
getDatasetFilename
public java.lang.String getDatasetFilename()
setDatasetFilename
public void setDatasetFilename(java.lang.String s)
getTestsetFilename
public java.lang.String getTestsetFilename()
setTestsetFilename
public void setTestsetFilename(java.lang.String s)
setLearnerParameters
public void setLearnerParameters(ClassifyCommandLineUtil.Learner.ClassifierLearner learn)
getMulti
public int getMulti()
setMulti
public void setMulti(int multi)
getCross
public boolean getCross()
setCross
public void setCross(boolean cross)
getSplitter
public Splitter<?> getSplitter()
setSplitter
public void setSplitter(Splitter<MultiExample> s)
getMultiHelp
public java.lang.String getMultiHelp()
getCrosshelp
public java.lang.String getCrosshelp()
getDatasetFilenameHelp
public java.lang.String getDatasetFilenameHelp()
getTestsetFilenameHelp
public java.lang.String getTestsetFilenameHelp()
getLearnerParametersHelp
public java.lang.String getLearnerParametersHelp()
getSplitterHelp
public java.lang.String getSplitterHelp()