weka.core.Instance.<init>()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.Instance.<init>()方法的一些代码示例，展示了Instance.<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。Instance.<init>()方法的具体详情如下：
包路径：weka.core.Instance
类名称：Instance
方法名：<init>

Instance.<init>介绍

暂无

代码示例

代码示例来源：origin: com.googlecode.obvious/obviousx-weka

@Override
public Object copy() {
 Instance result = new Instance(this);
 return result;
}

代码示例来源：origin: net.sourceforge/javaml

public Instance instanceToWeka(net.sf.javaml.core.Instance inst) {
  double[] values = new double[classSet ? inst.noAttributes() + 1 : inst.noAttributes()];
  // System.arraycopy(i.values().t.toArray(), 0, values, 0, classSet ?
  // values.length - 1 : values.length);
  for (int i = 0; i < (classSet ? values.length - 1 : values.length); i++) {
    values[i] = inst.get(i);
  }
  // if (classSet)
  // values[values.length - 1] = inst.classValue();
  
  Instance wI = null;
  if (inst instanceof net.sf.javaml.core.SparseInstance)
    wI = new SparseInstance(1, values);
  else
    wI = new Instance(1, values);
  
  wI.setDataset(wData);
  if (inst.classValue() != null) {
    wI.setClassValue(inst.classValue().toString());
  }
  return wI;
}

代码示例来源：origin: de.tudarmstadt.langtech.substituter.twsi/de.tudarmstadt.langtech.substituter.twsi

/**
 * Creates a Weka Instance object
 * @param values feature vector
 * @param dataset example weka dataset for feature counts/types
 * @return
 */
public static Instance makeCompatible(Vector<String> values, Instances dataset) {
  Instance retInstance=new Instance(values.size()+1);
  // dataset knows about possible nominal values
  retInstance.setDataset(dataset);
  for (int i = 0; i < values.size(); i++) {
    // check for existence of nominal values, otherwise convert to "missing": unknown vocabulary as features
    if (values.get(i)==null) {retInstance.setMissing(i);}
    else if (dataset.attribute(i).indexOfValue(values.get(i))>=0) {//  ((possValues[i]!=null)&&(possValues[i].containsKey(values[i]))) {
      retInstance.setValue(i, values.get(i));
    } else {retInstance.setMissing(i);}
  }
  return retInstance;
}

代码示例来源：origin: edu.illinois.cs.cogcomp/LBJava

Instance inst = new Instance(attributeInfo.size());

代码示例来源：origin: edu.illinois.cs.cogcomp/saul

Instance inst = new Instance(attributeInfo.size());

代码示例来源：origin: kodapan/osm-common

@Override
public String classify(Instance instance) throws Exception {
 weka.core.Instance wekaInstance = new weka.core.Instance(wekaTrainingData.numAttributes());
 wekaInstance.setDataset(wekaTrainingData);
 double[] histogramPercent = instance.getHistogramPercent();
 for (int i = 0; i < histogramPercent.length; i++) {
  wekaInstance.setValue(i, histogramPercent[i]);
 }
 wekaInstance.setMissing(wekaTrainingData.attribute("class"));
 double wekaClassification = classifier.classifyInstance(wekaInstance);
 String classification = wekaTrainingData.attribute("class").value((int)wekaClassification);
 return classification;
}

代码示例来源：origin: com.googlecode.obvious/obviousx-weka

@Override
public int addRow(Tuple tuple) {
 Schema tupleSchema = tuple.getSchema();
 for (int i = 0; i < tupleSchema.getColumnCount(); i++) {
  if (!tupleSchema.getColumnName(i).equals(schema.getColumnName(i))
    || !tupleSchema.getColumnType(i).equals(schema.getColumnType(i))) {
   return -1;
  }
 }
 Instance inst = new Instance(schema.getColumnCount());
 for (int i = 0; i < tuple.getSchema().getColumnCount(); i++) {
  Attribute att = instances.attribute(i);
  if (att.isNumeric())  {
   inst.setValue(att, Double.parseDouble(tuple.get(i).toString()));
  } else if (att.isString() || att.isNominal()) {
   inst.setValue(att, tuple.getString(i));
  } else if (att.isDate()) {
   try {
    inst.setValue(att, att.parseDate(tuple.getDate(i).toString()));
   } catch (ParseException e) {
    e.printStackTrace();
   }
  }
 }
 instances.add(inst);
 return getRowCount();
}

代码示例来源：origin: salesforce/Argus

private void trainModel(Map<Long, Double> metricData) throws Exception {
  //Model has a single metric_value attribute
  Attribute value = new Attribute("metric_value");
  FastVector attributes = new FastVector();
  attributes.addElement(value);
  trainingData = new Instances("metric_value_data", attributes, 0);
  for (Double val : metricData.values()) {
    double[] valArray = new double[] { val };
    Instance instance = new Instance(1.0, valArray);
    trainingData.add(instance);
  }
  //Create and train the model
  model = new SimpleKMeans();
  model.setNumClusters(k);
  model.setMaxIterations(20);
  model.setPreserveInstancesOrder(true);
  model.buildClusterer(trainingData);
  clusterCentroids = model.getClusterCentroids();
  centroidAssignments = model.getAssignments();
  setMeanDistancesToCentroids();
}

代码示例来源：origin: com.salesforce.argus/argus-core

private void trainModel(Map<Long, Double> metricData) throws Exception {
  //Model has a single metric_value attribute
  Attribute value = new Attribute("metric_value");
  FastVector attributes = new FastVector();
  attributes.addElement(value);
  trainingData = new Instances("metric_value_data", attributes, 0);
  for (Double val : metricData.values()) {
    double[] valArray = new double[] { val };
    Instance instance = new Instance(1.0, valArray);
    trainingData.add(instance);
  }
  //Create and train the model
  model = new SimpleKMeans();
  model.setNumClusters(k);
  model.setMaxIterations(20);
  model.setPreserveInstancesOrder(true);
  model.buildClusterer(trainingData);
  clusterCentroids = model.getClusterCentroids();
  centroidAssignments = model.getAssignments();
  setMeanDistancesToCentroids();
}

代码示例来源：origin: com.googlecode.obvious/obviousx-weka

instances.add(new Instance(1.0, values));

代码示例来源：origin: com.entopix/maui

newInst[1] = data.attribute(1).addStringValue(text);
newInst[2] = Instance.missingValue();
data.add(new Instance(1.0, newInst));

代码示例来源：origin: com.entopix/maui

data.add(new Instance(1.0, newInst));

代码示例来源：origin: com.entopix/maui

newInst[1] = data.attribute(1).addStringValue(text);
newInst[2] = Instance.missingValue();
data.add(new Instance(1.0, newInst));

代码示例来源：origin: com.entopix/maui

countPos++;
Instance inst = new Instance(current.weight(), vals);

代码示例来源：origin: com.entopix/maui

/**
 * Converts an instance. A phrase boundary is inserted where a number is
 * found.
 */
private void convertInstance(Instance instance) throws Exception {
  double[] instVals = new double[instance.numAttributes()];
  for (int i = 0; i < instance.numAttributes(); i++) {
    if ((!instance.attribute(i).isString()) || instance.isMissing(i)) {
      instVals[i] = instance.value(i);
    } else {
      String str = instance.stringValue(i);
      // if it is the document string only!
      if (i == 1) {
        str = filterNumbers(str);
      }
      int index = getOutputFormat().attribute(i).addStringValue(str);
      instVals[i] = (double) index;
    }
  }
  Instance inst = new Instance(instance.weight(), instVals);
  inst.setDataset(getOutputFormat());
  push(inst);
}

代码示例来源：origin: com.entopix/maui

data.add(new Instance(1.0, newInst));

代码示例来源：origin: com.entopix/maui

/**
 * Converts an instance by removing all non-alphanumeric characters from its
 * string attribute values.
 */
private void convertInstance(Instance instance) throws Exception {
  double[] instVals = new double[instance.numAttributes()];
  for (int i = 0; i < instance.numAttributes(); i++) {
    if (!instance.attribute(i).isString() || instance.isMissing(i)) {
      instVals[i] = instance.value(i);
    } else {
      if (!m_SelectCols.isInRange(i)) {
        int index = getOutputFormat().attribute(i).addStringValue(
            instance.stringValue(i));
        instVals[i] = (double) index;
        continue;
      }
      String text = instance.stringValue(i);
      String tokenizedText = tokenize(text);
      int index = getOutputFormat().attribute(i).addStringValue(
          tokenizedText);
      instVals[i] = (double) index;
    }
  }
  Instance inst = new Instance(instance.weight(), instVals);
  inst.setDataset(getOutputFormat());
  push(inst);
}

代码示例来源：origin: com.entopix/maui

hashKeyphrases, candidateList);
Instance inst = new Instance(instance.weight(), vals);
Instance ins = new Instance(instance.weight(), newInst);
ins.setDataset(outputFormatPeek());
vector.addElement(ins);

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