本文整理了Java中weka.core.Instances.allInstanceWeightsIdentical()方法的一些代码示例，展示了Instances.allInstanceWeightsIdentical()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.allInstanceWeightsIdentical()方法的具体详情如下：
包路径：weka.core.Instances
类名称：Instances
方法名：allInstanceWeightsIdentical

Instances.allInstanceWeightsIdentical介绍

[英]Returns true if all instance weights are the same and false otherwise. Returns true if there are no instances.
[中]如果所有实例权重相同，则返回true；否则返回false。如果没有实例，则返回true。

代码示例

代码示例来源：origin: net.sf.meka/meka

/**
 * Build the classifier on the filtered data.
 *
 * @param data the training data
 * @throws Exception if the classifier could not be built successfully
 */
public void buildClassifier(Instances data) throws Exception {
 if (m_Classifier == null) {
  throw new Exception("No base classifier has been set!");
 }
 getCapabilities().testWithFail(data);
 Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
 data = setUp(data, r);
 if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {
  data = data.resampleWithWeights(r); // The filter may have assigned weights.
 }
 if (!data.allAttributeWeightsIdentical() && !(m_Classifier instanceof WeightedAttributesHandler)) {
  data = resampleAttributes(data, false, r);
 }
 if (m_Classifier instanceof Randomizable) {
  ((Randomizable)m_Classifier).setSeed(r.nextInt());
 }
 m_Classifier.buildClassifier(data);
}

代码示例来源：origin: Waikato/meka

/**
 * Build the classifier on the filtered data.
 *
 * @param data the training data
 * @throws Exception if the classifier could not be built successfully
 */
public void buildClassifier(Instances data) throws Exception {
 if (m_Classifier == null) {
  throw new Exception("No base classifier has been set!");
 }
 getCapabilities().testWithFail(data);
 Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
 data = setUp(data, r);
 if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {
  data = data.resampleWithWeights(r); // The filter may have assigned weights.
 }
 if (!data.allAttributeWeightsIdentical() && !(m_Classifier instanceof WeightedAttributesHandler)) {
  data = resampleAttributes(data, false, r);
 }
 if (m_Classifier instanceof Randomizable) {
  ((Randomizable)m_Classifier).setSeed(r.nextInt());
 }
 m_Classifier.buildClassifier(data);
}

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

/**
 * Build the classifier on the filtered data.
 *
 * @param data the training data
 * @throws Exception if the classifier could not be built successfully
 */
public void buildClassifier(Instances data) throws Exception {
 if (m_Classifier == null) {
  throw new Exception("No base classifier has been set!");
 }
 getCapabilities().testWithFail(data);
 Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
 data = setUp(data, r);
 if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {
  data = data.resampleWithWeights(r); // The filter may have assigned weights.
 }
 if (!data.allAttributeWeightsIdentical() && !(m_Classifier instanceof WeightedAttributesHandler)) {
  data = resampleAttributes(data, false, r);
 }
 // can classifier handle the data?
 getClassifier().getCapabilities().testWithFail(data);
 if (m_Classifier instanceof Randomizable) {
  ((Randomizable)m_Classifier).setSeed(r.nextInt());
 }
 m_Classifier.buildClassifier(data);
}

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

Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
data = setUp(data, r);
if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {

代码示例来源：origin: Waikato/weka-trunk

/**
 * Build the classifier on the filtered data.
 *
 * @param data the training data
 * @throws Exception if the classifier could not be built successfully
 */
public void buildClassifier(Instances data) throws Exception {
 if (m_Classifier == null) {
  throw new Exception("No base classifier has been set!");
 }
 getCapabilities().testWithFail(data);
 Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
 data = setUp(data, r);
 if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {
  data = data.resampleWithWeights(r); // The filter may have assigned weights.
 }
 if (!data.allAttributeWeightsIdentical() && !(m_Classifier instanceof WeightedAttributesHandler)) {
  data = resampleAttributes(data, false, r);
 }
 // can classifier handle the data?
 getClassifier().getCapabilities().testWithFail(data);
 if (m_Classifier instanceof Randomizable) {
  ((Randomizable)m_Classifier).setSeed(r.nextInt());
 }
 m_Classifier.buildClassifier(data);
}

代码示例来源：origin: Waikato/weka-trunk

Random r = (data.numInstances() > 0) ? data.getRandomNumberGenerator(getSeed()) : new Random(getSeed());
data = setUp(data, r);
if (!data.allInstanceWeightsIdentical() && !(m_Classifier instanceof WeightedInstancesHandler)) {

代码示例来源：origin: Waikato/weka-trunk

m_ReorderFiltered = null;
if (data.allInstanceWeightsIdentical() || (m_Filter instanceof WeightedInstancesHandler)) {
 data = new Instances(data);
} else {

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

m_ReorderFiltered = null;
if (data.allInstanceWeightsIdentical() || (m_Filter instanceof WeightedInstancesHandler)) {
 data = new Instances(data);
} else {