本文整理匯總了Java中org.deeplearning4j.examples.nlp.paragraphvectors.tools.LabelSeeker類的典型用法代碼示例。如果您正苦於以下問題：Java LabelSeeker類的具體用法？Java LabelSeeker怎麽用？Java LabelSeeker使用的例子？那麽, 這裏精選的類代碼示例或許可以為您提供幫助。
LabelSeeker類屬於org.deeplearning4j.examples.nlp.paragraphvectors.tools包，在下文中一共展示了LabelSeeker類的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Java代碼示例。
示例1: main
import org.deeplearning4j.examples.nlp.paragraphvectors.tools.LabelSeeker; //導入依賴的package包/類
public static void main(String[] args) throws Exception {
ClassPathResource resource = new ClassPathResource("paravec/labeled");
iter = new FileLabelAwareIterator.Builder()
.addSourceFolder(resource.getFile())
.build();
tFact = new DefaultTokenizerFactory();
tFact.setTokenPreProcessor(new CommonPreprocessor());
pVect = new ParagraphVectors.Builder()
.learningRate(0.025)
.minLearningRate(0.001)
.batchSize(1000)
.epochs(20)
.iterate(iter)
.trainWordVectors(true)
.tokenizerFactory(tFact)
.build();
pVect.fit();
ClassPathResource unlabeledText = new ClassPathResource("paravec/unlabeled");
FileLabelAwareIterator unlabeledIter = new FileLabelAwareIterator.Builder()
.addSourceFolder(unlabeledText.getFile())
.build();
MeansBuilder mBuilder = new MeansBuilder(
(InMemoryLookupTable<VocabWord>) pVect.getLookupTable(),
tFact);
LabelSeeker lSeeker = new LabelSeeker(iter.getLabelsSource().getLabels(),
(InMemoryLookupTable<VocabWord>) pVect.getLookupTable());
while (unlabeledIter.hasNextDocument()) {
LabelledDocument doc = unlabeledIter.nextDocument();
INDArray docCentroid = mBuilder.documentAsVector(doc);
List<Pair<String, Double>> scores = lSeeker.getScores(docCentroid);
out.println("Document '" + doc.getLabel() + "' falls into the following categories: ");
for (Pair<String, Double> score : scores) {
out.println(" " + score.getFirst() + ": " + score.getSecond());
}
}
}
開發者ID:PacktPublishing，項目名稱:Machine-Learning-End-to-Endguide-for-Java-developers，代碼行數:49，代碼來源:ParagraphVectorsClassifierExample.java