本文整理汇总了Java中cc.mallet.extract.LatticeViewer类的典型用法代码示例。如果您正苦于以下问题:Java LatticeViewer类的具体用法?Java LatticeViewer怎么用?Java LatticeViewer使用的例子?那么恭喜您, 这里精选的类代码示例或许可以为您提供帮助。
LatticeViewer类属于cc.mallet.extract包,在下文中一共展示了LatticeViewer类的4个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于我们的系统推荐出更棒的Java代码示例。
示例1: testSpaceViewer
import cc.mallet.extract.LatticeViewer; //导入依赖的package包/类
public void testSpaceViewer () throws FileNotFoundException
{
Pipe pipe = TestMEMM.makeSpacePredictionPipe ();
String[] data0 = { TestCRF.data[0] };
String[] data1 = { TestCRF.data[1] };
InstanceList training = new InstanceList (pipe);
training.addThruPipe (new ArrayIterator (data0));
InstanceList testing = new InstanceList (pipe);
testing.addThruPipe (new ArrayIterator (data1));
CRF crf = new CRF (pipe, null);
crf.addFullyConnectedStatesForLabels ();
CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
crft.trainIncremental (training);
CRFExtractor extor = hackCrfExtor (crf);
Extraction extration = extor.extract (new ArrayIterator (data1));
PrintStream out = new PrintStream (new FileOutputStream (htmlFile));
LatticeViewer.extraction2html (extration, extor, out);
out.close();
out = new PrintStream (new FileOutputStream (latticeFile));
LatticeViewer.extraction2html (extration, extor, out, true);
out.close();
}
开发者ID:kostagiolasn,项目名称:NucleosomePatternClassifier,代码行数:30,代码来源:TestLatticeViewer.java
示例2: ignoretestSpaceViewer
import cc.mallet.extract.LatticeViewer; //导入依赖的package包/类
public void ignoretestSpaceViewer () throws FileNotFoundException
{
Pipe pipe = TestMEMM.makeSpacePredictionPipe ();
String[] data0 = { TestCRF.data[0] };
String[] data1 = { TestCRF.data[1] };
InstanceList training = new InstanceList (pipe);
training.addThruPipe (new ArrayIterator (data0));
InstanceList testing = new InstanceList (pipe);
testing.addThruPipe (new ArrayIterator (data1));
CRF crf = new CRF (pipe, null);
crf.addFullyConnectedStatesForLabels ();
CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
crft.trainIncremental (training);
CRFExtractor extor = hackCrfExtor (crf);
Extraction extration = extor.extract (new ArrayIterator (data1));
PrintStream out = new PrintStream (new FileOutputStream (htmlFile));
LatticeViewer.extraction2html (extration, extor, out);
out.close();
out = new PrintStream (new FileOutputStream (latticeFile));
LatticeViewer.extraction2html (extration, extor, out, true);
out.close();
}
开发者ID:cmoen,项目名称:mallet,代码行数:30,代码来源:TestLatticeViewer.java
示例3: testDualSpaceViewer
import cc.mallet.extract.LatticeViewer; //导入依赖的package包/类
public void testDualSpaceViewer () throws IOException
{
Pipe pipe = TestMEMM.makeSpacePredictionPipe ();
String[] data0 = { TestCRF.data[0] };
String[] data1 = TestCRF.data;
InstanceList training = new InstanceList (pipe);
training.addThruPipe (new ArrayIterator (data0));
InstanceList testing = new InstanceList (pipe);
testing.addThruPipe (new ArrayIterator (data1));
CRF crf = new CRF (pipe, null);
crf.addFullyConnectedStatesForLabels ();
CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
TokenAccuracyEvaluator eval = new TokenAccuracyEvaluator (new InstanceList[] {training, testing}, new String[] {"Training", "Testing"});
for (int i = 0; i < 5; i++) {
crft.train (training, 1);
eval.evaluate(crft);
}
CRFExtractor extor = hackCrfExtor (crf);
Extraction e1 = extor.extract (new ArrayIterator (data1));
Pipe pipe2 = TestMEMM.makeSpacePredictionPipe ();
InstanceList training2 = new InstanceList (pipe2);
training2.addThruPipe (new ArrayIterator (data0));
InstanceList testing2 = new InstanceList (pipe2);
testing2.addThruPipe (new ArrayIterator (data1));
MEMM memm = new MEMM (pipe2, null);
memm.addFullyConnectedStatesForLabels ();
MEMMTrainer memmt = new MEMMTrainer (memm);
TransducerEvaluator memmeval = new TokenAccuracyEvaluator (new InstanceList[] {training2, testing2}, new String[] {"Training2", "Testing2"});
memmt.train (training2, 5);
memmeval.evaluate(memmt);
CRFExtractor extor2 = hackCrfExtor (memm);
Extraction e2 = extor2.extract (new ArrayIterator (data1));
if (!htmlDir.exists ()) htmlDir.mkdir ();
LatticeViewer.viewDualResults (htmlDir, e1, extor, e2, extor2);
}
开发者ID:kostagiolasn,项目名称:NucleosomePatternClassifier,代码行数:44,代码来源:TestLatticeViewer.java
示例4: ignoretestDualSpaceViewer
import cc.mallet.extract.LatticeViewer; //导入依赖的package包/类
public void ignoretestDualSpaceViewer () throws IOException
{
Pipe pipe = TestMEMM.makeSpacePredictionPipe ();
String[] data0 = { TestCRF.data[0] };
String[] data1 = TestCRF.data;
InstanceList training = new InstanceList (pipe);
training.addThruPipe (new ArrayIterator (data0));
InstanceList testing = new InstanceList (pipe);
testing.addThruPipe (new ArrayIterator (data1));
CRF crf = new CRF (pipe, null);
crf.addFullyConnectedStatesForLabels ();
CRFTrainerByLabelLikelihood crft = new CRFTrainerByLabelLikelihood (crf);
TokenAccuracyEvaluator eval = new TokenAccuracyEvaluator (new InstanceList[] {training, testing}, new String[] {"Training", "Testing"});
for (int i = 0; i < 5; i++) {
crft.train (training, 1);
eval.evaluate(crft);
}
CRFExtractor extor = hackCrfExtor (crf);
Extraction e1 = extor.extract (new ArrayIterator (data1));
Pipe pipe2 = TestMEMM.makeSpacePredictionPipe ();
InstanceList training2 = new InstanceList (pipe2);
training2.addThruPipe (new ArrayIterator (data0));
InstanceList testing2 = new InstanceList (pipe2);
testing2.addThruPipe (new ArrayIterator (data1));
MEMM memm = new MEMM (pipe2, null);
memm.addFullyConnectedStatesForLabels ();
MEMMTrainer memmt = new MEMMTrainer (memm);
TransducerEvaluator memmeval = new TokenAccuracyEvaluator (new InstanceList[] {training2, testing2}, new String[] {"Training2", "Testing2"});
memmt.train (training2, 5);
memmeval.evaluate(memmt);
CRFExtractor extor2 = hackCrfExtor (memm);
Extraction e2 = extor2.extract (new ArrayIterator (data1));
if (!htmlDir.exists ()) htmlDir.mkdir ();
LatticeViewer.viewDualResults (htmlDir, e1, extor, e2, extor2);
}
开发者ID:cmoen,项目名称:mallet,代码行数:44,代码来源:TestLatticeViewer.java
注:本文中的cc.mallet.extract.LatticeViewer类示例整理自Github/MSDocs等源码及文档管理平台,相关代码片段筛选自各路编程大神贡献的开源项目,源码版权归原作者所有,传播和使用请参考对应项目的License;未经允许,请勿转载。 |
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