本文整理了Java中cc.mallet.types.InstanceList.<init>()
方法的一些代码示例,展示了InstanceList.<init>()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。InstanceList.<init>()
方法的具体详情如下:
包路径:cc.mallet.types.InstanceList
类名称:InstanceList
方法名:<init>
[英]Creates a list consisting of randomly-generated FeatureVector
s.
[中]创建由随机生成的FeatureVector
s组成的列表。
代码示例来源:origin: cc.mallet/mallet
BinaryTestData(int numFeatures) {
LabelAlphabet labelAlphabet = new LabelAlphabet();
posLabel = labelAlphabet.lookupLabel("pos", true);
negLabel = labelAlphabet.lookupLabel("neg", true);
List<String> featureNames = new ArrayList<String>();
for (int i = 0; i < numFeatures; i++) {
featureNames.add(Integer.toString(i));
}
dataAlphabet = new Alphabet(featureNames.toArray());
iList = new InstanceList(dataAlphabet, labelAlphabet);
}
代码示例来源:origin: de.julielab/jcore-mallet-2.0.9
public InstanceList pipeInstances (Iterator<Instance> source)
{
// I think that pipes should be associated neither with InstanceLists, nor
// with Instances. -cas
InstanceList toked = new InstanceList (tokenizationPipe);
toked.addThruPipe (source);
InstanceList piped = new InstanceList (getFeaturePipe ());
piped.addThruPipe (toked.iterator());
return piped;
}
代码示例来源:origin: cc.mallet/mallet
public InstanceList getInstances()
{
InstanceList ret = new InstanceList(m_ilist.getPipe());
for (int ii = 0; ii < m_instIndices.length; ii++)
ret.add(m_ilist.get(m_instIndices[ii]));
return ret;
}
代码示例来源:origin: de.julielab/julielab-topic-modeling
public InstanceList malletPreprocess(List<TokenSequence> data) {
ArrayList<Pipe> pipeList = new ArrayList<>();
pipeList.add(new TokenSequenceRemoveStopwords(false, false));
pipeList.add(new TokenSequence2FeatureSequence());
InstanceList instances = new InstanceList(new SerialPipes(pipeList));
ArrayIterator dataListIterator = new ArrayIterator(data);
instances.addThruPipe(dataListIterator);
return instances;
}
代码示例来源:origin: cc.mallet/mallet
public Sequence pipeInput (Object input)
{
InstanceList all = new InstanceList (getFeaturePipe ());
all.add (input, null, null, null);
return (Sequence) all.get (0).getData();
}
}
代码示例来源:origin: cc.mallet/mallet
public static InstanceList getInstances(String dbName) throws Exception {
DBInstanceIterator dbIterator = new DBInstanceIterator(dbName);
InstanceList instances = new InstanceList(dbIterator.getPipe());
instances.addThruPipe(dbIterator);
dbIterator.cleanup();
return instances;
}
代码示例来源:origin: de.julielab/jcore-mallet-2.0.9
public Sequence pipeInput (Object input)
{
InstanceList all = new InstanceList (getFeaturePipe ());
all.add (input, null, null, null);
return (Sequence) all.get (0).getData();
}
}
代码示例来源:origin: cc.mallet/mallet
public void testFixedNumLabels () throws IOException, ClassNotFoundException
{
Pipe p = new GenericAcrfData2TokenSequence (2);
InstanceList training = new InstanceList (p);
training.addThruPipe (new LineGroupIterator (new StringReader (sampleFixedData), Pattern.compile ("^$"), true));
assertEquals (1, training.size ());
Instance inst1 = training.get (0);
LabelsSequence ls1 = (LabelsSequence) inst1.getTarget ();
assertEquals (4, ls1.size ());
}
代码示例来源:origin: cc.mallet/mallet
public void testSetGetParameters ()
{
MaxEntTrainer trainer = new MaxEntTrainer();
Alphabet fd = dictOfSize (6);
String[] classNames = new String[] {"class0", "class1", "class2"};
InstanceList ilist = new InstanceList (new Randoms(1), fd, classNames, 20);
Optimizable.ByGradientValue maxable = trainer.getOptimizable (ilist);
TestOptimizable.testGetSetParameters (maxable);
}
代码示例来源:origin: de.julielab/jcore-mallet-2.0.9
/**
Iterates over {@link Segment}s for only one {@link Instance}.
*/
public SegmentIterator (Transducer model, Instance instance, Object[] segmentStartTags,
Object[] segmentContinueTags) {
InstanceList ilist = new InstanceList (new Noop (instance.getDataAlphabet(), instance.getTargetAlphabet()));
ilist.add (instance);
setSubIterator (model, ilist, segmentStartTags, segmentContinueTags);
}
代码示例来源:origin: de.julielab/jcore-mallet-2.0.9
/**
*
* @param i
* @param j
* @return A new {@link InstanceList} containing the two argument {@link Instance}s.
*/
public static InstanceList makeList (Instance i, Instance j) {
InstanceList list = new InstanceList(new Noop(i.getDataAlphabet(), i.getTargetAlphabet()));
list.add(i);
list.add(j);
return list;
}
代码示例来源:origin: cc.mallet/mallet
public void testRandomTrained ()
{
Pipe p = new SerialPipes (new Pipe[] {
new TokenSequence2FeatureSequence (),
new FeatureSequence2FeatureVector (),
new Target2Label()});
double testAcc1 = testRandomTrainedOn (new InstanceList (p));
double testAcc2 = testRandomTrainedOn (new PagedInstanceList (p, 700, 200, new File(".")));
assertEquals (testAcc1, testAcc2, 0.01);
}
代码示例来源:origin: cc.mallet/mallet
/**
*
* @param i
* @param j
* @return A new {@link InstanceList} containing the two argument {@link Instance}s.
*/
public static InstanceList makeList (Instance i, Instance j) {
InstanceList list = new InstanceList(new Noop(i.getDataAlphabet(), i.getTargetAlphabet()));
list.add(i);
list.add(j);
return list;
}
代码示例来源:origin: cc.mallet/mallet
public void testOneFromSerialized () throws IOException, ClassNotFoundException
{
Pipe p = createPipe ();
Pipe clone = (Pipe) TestSerializable.cloneViaSerialization (p);
InstanceList ilist = new InstanceList (clone);
ilist.addThruPipe(new StringArrayIterator(data));
assertTrue (ilist.size() == 3);
}
代码示例来源:origin: cc.mallet/mallet
public void testRandomMaximizable ()
{
MaxEntTrainer trainer = new MaxEntTrainer();
Alphabet fd = dictOfSize (6);
String[] classNames = new String[] {"class0", "class1"};
InstanceList ilist = new InstanceList (new Randoms(1), fd, classNames, 20);
Optimizable.ByGradientValue maxable = trainer.getOptimizable (ilist);
TestOptimizable.testValueAndGradient (maxable);
}
代码示例来源:origin: com.github.steveash.mallet/mallet
/**
*
* @param i
* @param j
* @return A new {@link InstanceList} containing the two argument {@link Instance}s.
*/
public static InstanceList makeList (Instance i, Instance j) {
InstanceList list = new InstanceList(new Noop(i.getDataAlphabet(), i.getTargetAlphabet()));
list.add(i);
list.add(j);
return list;
}
代码示例来源:origin: com.github.steveash.mallet/mallet
/**
Iterates over {@link Segment}s for only one {@link Instance}.
*/
public SegmentIterator (Transducer model, Instance instance, Object[] segmentStartTags,
Object[] segmentContinueTags) {
InstanceList ilist = new InstanceList (new Noop (instance.getDataAlphabet(), instance.getTargetAlphabet()));
ilist.add (instance);
setSubIterator (model, ilist, segmentStartTags, segmentContinueTags);
}
代码示例来源:origin: cc.mallet/mallet
public static void main(String[] args) {
String htmldir = args[0];
Pipe pipe = new SerialPipes(new Pipe[] { new Input2CharSequence(),
new CharSequenceRemoveHTML() });
InstanceList list = new InstanceList(pipe);
list.addThruPipe(new FileIterator(htmldir, FileIterator.STARTING_DIRECTORIES));
for (int index = 0; index < list.size(); index++) {
Instance inst = list.get(index);
System.err.println(inst.getData());
}
}
代码示例来源:origin: cc.mallet/mallet
public void testTrainedMaximizable ()
{
MaxEntTrainer trainer = new MaxEntTrainer();
Alphabet fd = dictOfSize (6);
String[] classNames = new String[] {"class0", "class1"};
InstanceList ilist = new InstanceList (new Randoms(1), fd, classNames, 20);
MaxEnt me = (MaxEnt)trainer.train(ilist);
Optimizable.ByGradientValue maxable = trainer.getOptimizable (ilist, me);
TestOptimizable.testValueAndGradientCurrentParameters (maxable);
}
代码示例来源:origin: com.github.steveash.mallet/mallet
public static void main(String[] args) {
String htmldir = args[0];
Pipe pipe = new SerialPipes(new Pipe[] { new Input2CharSequence(),
new CharSequenceRemoveHTML() });
InstanceList list = new InstanceList(pipe);
list.addThruPipe(new FileIterator(htmldir, FileIterator.STARTING_DIRECTORIES));
for (int index = 0; index < list.size(); index++) {
Instance inst = list.get(index);
System.err.println(inst.getData());
}
}
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