List of weight() Examples

Examples of weight()

ch.akuhn.hapax.index.TermDocumentMatrix.weight()
com.browseengine.bobo.search.section.SectionSearchQuery.weight()
com.dyn.client.v3.traffic.domain.RecordSet.Value.Builder.weight()
@see SRVData#getWeight()
io.vertx.core.dns.SrvRecord.weight()
Returns the weight of this service record.
it.unimi.dsi.mg4j.search.DocumentIterator.weight()
Returns the weight associated to this iterator.
The number returned by this method has no fixed semantics: different {@linkplain Scorer scorers}might choose different interpretations, or even ignore it. @return the weight associated to this iterator.
org.apache.lucene.search.BooleanQuery.weight()
org.apache.lucene.search.Query.weight()
Expert: Constructs and initializes a Weight for a top-level query. @deprecated never ever use this method in {@link Weight} implementations.Subclasses of {@code Query} should use {@link #createWeight}, instead.
org.apache.lucene.search.spell.TermFreqIterator.weight()
A term's weight, higher numbers mean better suggestions.
org.apache.lucene.search.suggest.InputIterator.weight()
A term's weight, higher numbers mean better suggestions.
org.jclouds.dynect.v3.domain.RecordSet.Value.Builder.weight()
@see Value#getWeight()
org.jrebirth.af.core.resource.font.FamilyFont.weight()
Return the font weight. @return the font weight
org.metagrid.gatekeeper.test.apple.Apple.weight()
Get the weight.
org.metagrid.gatekeeper.test.apple.bean.AppleBean.weight()
org.metagrid.gatekeeper.test.apple.bean.AppleBeanImpl.weight()
org.metagrid.gatekeeper.test.orange.bean.OrangeBean.weight()
org.metagrid.gatekeeper.test.orange.bean.OrangeBeanImpl.weight()
org.neo4j.graphalgo.WeightedPath.weight()
Returns the weight of the path. @return the weight of the path.
org.sonar.api.batch.sensor.dependency.internal.DefaultDependency.weight()
weka.core.Attribute.weight()
Returns the attribute's weight. @return the attribute's weight as a double
weka.core.Instance.weight()
Returns the instance's weight. @return the instance's weight as a double

Examples of weka.core.Attribute.weight()

                                     4, 2) + "\n\n");
    Enumeration enumAtts = m_Instances.enumerateAttributes();
    int attIndex = 0;
    while (enumAtts.hasMoreElements()) {
      Attribute attribute = (Attribute) enumAtts.nextElement();
      if (attribute.weight() > 0) {
        text.append(attribute.name() + ":  " 
                          + m_Distributions[attIndex][i]);
      }
      attIndex++;
    }

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Examples of weka.core.Instance.weight()

      m_MaxTarget = -Double.MAX_VALUE;


      for (int i = 0; i < train.numInstances(); i++) {
        Instance currentInst = train.instance(i);
        if (!currentInst.classIsMissing()) {
          addNumericTrainClass(currentInst.classValue(), currentInst.weight());
        }
      }


      m_ClassPriors[0] = m_ClassPriorsSum = 0;
      for (int i = 0; i < train.numInstances(); i++) {

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Examples of weka.core.Instance.weight()

  for (int j = 0; j < insts.numInstances(); j++) {
    Instance inst = insts.instance(j);
    if (!inst.isMissing(i) && !inst.classIsMissing()) {
      double xDiff = inst.value(i) - xMean;
      double yDiff = inst.classValue() - yMean;
      double weightedXDiff = inst.weight() * xDiff;
      double weightedYDiff = inst.weight() * yDiff;
      m_slope += weightedXDiff * yDiff;
      sumWeightedXDiffSquared += weightedXDiff * xDiff;
      sumWeightedYDiffSquared += weightedYDiff * yDiff;
    }

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Examples of weka.core.Instance.weight()

    Instance inst = insts.instance(j);
    if (!inst.isMissing(i) && !inst.classIsMissing()) {
      double xDiff = inst.value(i) - xMean;
      double yDiff = inst.classValue() - yMean;
      double weightedXDiff = inst.weight() * xDiff;
      double weightedYDiff = inst.weight() * yDiff;
      m_slope += weightedXDiff * yDiff;
      sumWeightedXDiffSquared += weightedXDiff * xDiff;
      sumWeightedYDiffSquared += weightedYDiff * yDiff;
    }
  }

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Examples of weka.core.Instance.weight()

    double[] vals = new double[2];
    vals[0] = SVMOutput(-1, inst);
    if (inst.classValue() == cl2) {
      vals[1] = 1;
    }
    data.add(new Instance(inst.weight(), vals));
  }
      } else {


  // Check whether number of folds too large
  if (numFolds > insts.numInstances()) {

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Examples of weka.core.Instance.weight()

  
    for (int i = 0; i < nC; i++) {
      // initialize X[][]
      Instance current = train.instance(i);
      Y[i] = (int)current.classValue();  // Class value starts from 0
      weights[i] = current.weight();     // Dealing with weights
      totWeights += weights[i];
      
      m_Data[i][0] = 1;
      int j = 1;
      for (int k = 0; k <= nR; k++) {

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Examples of weka.core.Instance.weight()

  start++;
      }


      // create new instance
      if (oldInstance instanceof SparseInstance)
  newInstance = new SparseInstance(oldInstance.weight(), newValues);
      else
  newInstance = new Instance(oldInstance.weight(), newValues);


      // copy string/relational values from input to output
      copyValues(newInstance, false, oldInstance.dataset(), getOutputFormat());

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