weka.core.Instances.numInstances()方法的使用及代码示例

x33g5p2x  于2022-01-21 转载在 其他  
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本文整理了Java中weka.core.Instances.numInstances()方法的一些代码示例，展示了Instances.numInstances()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。Instances.numInstances()方法的具体详情如下：
包路径：weka.core.Instances
类名称：Instances
方法名：numInstances

Instances.numInstances介绍

[英]Returns the number of instances in the dataset.
[中]返回数据集中的实例数。

代码示例

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Creates a new dataset of the same size as this dataset using random sampling with
 * replacement.
 * 
 * @param random a random number generator
 * @return the new dataset
 */
public Instances resample(Random random) {
 Instances newData = new Instances(this, numInstances());
 while (newData.numInstances() < numInstances()) {
  newData.add(instance(random.nextInt(numInstances())));
 }
 return newData;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/distributedWekaBase

/**
 * Add the supplied instances to the training header
 *
 * @param toAdd the instances to add
 */
public void addToTrainingHeader(Instances toAdd) {
 for (int i = 0; i < toAdd.numInstances(); i++) {
  m_trainingHeader.add(toAdd.instance(i));
 }
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

protected void initMinMax(Instances data) {
 m_Min = new double[data.numAttributes()];
 m_Max = new double[data.numAttributes()];
 for (int i = 0; i < data.numAttributes(); i++) {
  m_Min[i] = m_Max[i] = Double.NaN;
 }
 for (int i = 0; i < data.numInstances(); i++) {
  updateMinMax(data.instance(i));
 }
}

代码示例来源：origin: Waikato/meka

/**
 * jPMF - Joint PMF.
 * @return the joint PMF of the j-th and k-th labels in D.
 */
public static double[][] jPMF(Instances D, int j, int k) {
  double JOINT[][] = new double[D.attribute(j).numValues()][D.attribute(k).numValues()];
  int N = D.numInstances();
  for(int i = 0; i < N; i++) {
    int v_j = (int)Math.round(D.instance(i).value(j));
    int v_k = (int)Math.round(D.instance(i).value(k));
    JOINT[v_j][v_k] += (1.0 / (double)N);
  }
  return JOINT;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

public void testFloor() {
 m_Filter = getFilter("floor(a6+a3/5)");
 Instances result = useFilter();
 for (int i = 0; i < result.numInstances(); i++) {
  Instance inst = result.instance(i);
  assertEquals("Instance " + (i + 1),
         Math.floor(inst.value(5) + inst.value(2)/5), 
         inst.value(inst.numAttributes() - 1), EXPR_DELTA);
 }
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Tests default setup.
 */
public void testTypical() {
 Instances result = useFilter();
 // Number of attributes and instances shouldn't change
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals(m_Instances.numInstances(), result.numInstances());
 Attribute mergedAtt = result.attribute(4);
 // All values should be merged for this attribute
 assertTrue("Attribute 5 has all values merged in result", mergedAtt
  .value(0).equals("a_or_b_or_c_or_d"));
}

代码示例来源：origin: sc.fiji/Trainable_Segmentation

/**
 * bag class for getting the result of the loaded classifier
 */
private static class LoadedClassifier {
  private AbstractClassifier newClassifier = null;
  private Instances newHeader = null;
}

代码示例来源：origin: net.sf.meka/meka

public static double[][] LEAD(Instances D, Classifier h, Random r, String MDType)  throws Exception {
  Instances D_r = new Instances(D);
  D_r.randomize(r);
  Instances D_train = new Instances(D_r,0,D_r.numInstances()*60/100);
  Instances D_test = new Instances(D_r,D_train.numInstances(),D_r.numInstances()-D_train.numInstances());
  BR br = new BR();
  br.setClassifier(h);
  Result result = Evaluation.evaluateModel((MultiLabelClassifier)br,D_train,D_test,"PCut1","1");
  return LEAD(D_test, result, MDType);
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * performs a typical test
 */
public void testTypical() {
 Instances icopy = new Instances(m_Instances);
 
 m_Filter = getFilter();
 Instances result = useFilter();
 assertEquals(result.numAttributes(), icopy.numInstances() + 1);
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

public void testPruneMinFreq() throws Exception {
 Instances data1 = getData1();
 Instances structure = new Instances(data1, 0);
 DictionaryBuilder builder = new DictionaryBuilder();
 builder.setMinTermFreq(1);
 builder.setup(structure);
 for (int i = 0; i < data1.numInstances(); i++) {
  builder.processInstance(data1.instance(i));
 }
 assertEquals(15, builder.getDictionaries(false)[0].size());
 Map<String, int[]> consolidated = builder.finalizeDictionary();
 // min freq of 1 should keep all terms
 assertEquals(15, consolidated.size());
}

代码示例来源：origin: net.sf.meka/meka

public static final String toDebugString(Instances D) {
  int L = D.classIndex();
  StringBuilder sb = new StringBuilder();  
  sb.append("D="+D.numInstances());
  sb.append(" L="+L+" {");
  for(int j = 0; j < L; j++) {
    sb.append(D.attribute(j).name()+" ");
  }
  sb.append("}");
  return sb.toString();
}

代码示例来源：origin: net.sf.meka/meka

/**
 * jPMF - Joint PMF.
 * @return the joint PMF of the j-th and k-th labels in D.
 */
public static double[][] jPMF(Instances D, int j, int k) {
  double JOINT[][] = new double[D.attribute(j).numValues()][D.attribute(k).numValues()];
  int N = D.numInstances();
  for(int i = 0; i < N; i++) {
    int v_j = (int)Math.round(D.instance(i).value(j));
    int v_k = (int)Math.round(D.instance(i).value(k));
    JOINT[v_j][v_k] += (1.0 / (double)N);
  }
  return JOINT;
}

代码示例来源：origin: Waikato/weka-trunk

/**
 * Creates a new dataset of the same size as this dataset using random sampling with
 * replacement.
 * 
 * @param random a random number generator
 * @return the new dataset
 */
public Instances resample(Random random) {
 Instances newData = new Instances(this, numInstances());
 while (newData.numInstances() < numInstances()) {
  newData.add(instance(random.nextInt(numInstances())));
 }
 return newData;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

public void testExp() {
 m_Filter = getFilter("exp(a6-a3)");
 Instances result = useFilter();
 for (int i = 0; i < result.numInstances(); i++) {
  Instance inst = result.instance(i);
  assertEquals("Instance " + (i + 1),
         Math.exp(inst.value(5) - inst.value(2)), 
         inst.value(inst.numAttributes() - 1), EXPR_DELTA);
 }
}

代码示例来源：origin: Waikato/weka-trunk

protected void initMinMax(Instances data) {
 m_Min = new double[data.numAttributes()];
 m_Max = new double[data.numAttributes()];
 for (int i = 0; i < data.numAttributes(); i++) {
  m_Min[i] = m_Max[i] = Double.NaN;
 }
 for (int i = 0; i < data.numInstances(); i++) {
  updateMinMax(data.instance(i));
 }
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Test merging all labels.
 */
public void testMergeAll() {
 ((MergeManyValues)m_Filter).setMergeValueRange("first-last");
 Instances result = useFilter();
 // Number of attributes and instances shouldn't change
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals(m_Instances.numInstances(),  result.numInstances());
 assertEquals(1, result.attribute(1).numValues());
}

代码示例来源：origin: fiji/Trainable_Segmentation

/**
 * bag class for getting the result of the loaded classifier
 */
private static class LoadedClassifier {
  private AbstractClassifier newClassifier = null;
  private Instances newHeader = null;
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

/**
 * Tests the partial copy of a dataset.
 * 
 * @see Instances#Instances(Instances, int, int)
 */
public void testPartialCopy() {
 Instances data;
 
 data = new Instances(m_Instances, 0, m_Instances.numInstances());
 assertEquals("# of instances differ", m_Instances.numInstances(), data.numInstances());
 data = new Instances(m_Instances, 5, 10);
 assertEquals("# of instances differ", 10, data.numInstances());
}

代码示例来源：origin: Waikato/weka-trunk

/**
 * performs a typical test
 */
public void testTypical() {
 Instances icopy = new Instances(m_Instances);
 
 m_Filter = getFilter();
 Instances result = useFilter();
 assertEquals(result.numAttributes(), icopy.numInstances() + 1);
}

代码示例来源：origin: nz.ac.waikato.cms.weka/weka-stable

public void testFinalizeDictionaryNoClassExtraAtts() throws Exception {
 Instances data1 = getData3();
 Instances structure = new Instances(data1, 0);
 DictionaryBuilder builder = new DictionaryBuilder();
 builder.setMinTermFreq(2);
 builder.setup(structure);
 for (int i = 0; i < data1.numInstances(); i++) {
  builder.processInstance(data1.instance(i));
 }
 assertEquals(15, builder.getDictionaries(false)[0].size());
 Map<String, int[]> consolidated = builder.finalizeDictionary();
 // all but "the" and "over" should have been pruned from the dictionary
 assertEquals(2, consolidated.size());
}

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