Example usage for weka.core Instance hasMissingValue

Introduction

In this page you can find the example usage for weka.core Instance hasMissingValue.

Prototype

public boolean hasMissingValue();

Source Link

Document

Tests whether an instance has a missing value.

Usage

From source file:cerebro.Id3.java

License:Open Source License

/**
 * Classifies a given test instance using the decision tree.
 *
 * @param instance the instance to be classified
 * @return the classification/*from   w  w w.j  a  v a  2s  .  c  o  m*/
 * @throws NoSupportForMissingValuesException if instance has missing values
 */
public double classifyInstance(Instance instance) throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Id3: no missing values, " + "please.");
    }
    if (m_Attribute == null) {
        return m_ClassValue;
    } else {
        return m_Successors[(int) instance.value(m_Attribute)].classifyInstance(instance);
    }
}

---

From source file:cerebro.Id3.java

License:Open Source License

/**
 * Computes class distribution for instance using decision tree.
 *
 * @param instance the instance for which distribution is to be computed
 * @return the class distribution for the given instance
 * @throws NoSupportForMissingValuesException if instance has missing values
 *//* ww w . j  av  a  2s .  c o  m*/
public double[] distributionForInstance(Instance instance) throws NoSupportForMissingValuesException {

    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Id3: no missing values, " + "please.");
    }
    if (m_Attribute == null) {
        return m_Distribution;
    } else {
        return m_Successors[(int) instance.value(m_Attribute)].distributionForInstance(instance);
    }
}

---

From source file:decisiontree.MyID3.java

@Override
public double classifyInstance(Instance instance) throws Exception {
    if (instance.hasMissingValue()) {
        throw new Exception("Can't handle missing value(s)");
    }/*www.  jav a  2s .  c om*/
    if (splitAttr == null) {
        if (Utils.eq(leafValue, Double.NaN)) {
            return instance.value(classAttr);
        } else {
            return leafValue;
        }
    } else {
        return child[(int) instance.value(splitAttr)].classifyInstance(instance);
    }
}

---

From source file:decisiontree.MyID3.java

@Override
public double[] distributionForInstance(Instance instance) throws Exception {
    if (instance.hasMissingValue()) {
        throw new Exception("Can't handle missing value(s)");
    }/*from  w  w w .jav  a  2s.co  m*/
    if (splitAttr == null) {
        return leafDist;
    } else {
        return child[(int) instance.value(splitAttr)].distributionForInstance(instance);
    }
}

---

From source file:dewaweebtreeclassifier.Veranda.java

/**
 * /*w w  w  .ja  v  a 2s  .  c o m*/
 * @param instance
 * @return 
 * @throws java.lang.Exception 
 */
@Override
public double classifyInstance(Instance instance) throws Exception {
    if (instance.hasMissingValue())
        throw new Exception("The instance has missing value(s). ID3 does not support missing values.");

    return mRoot.classifyInstance(instance);
}

---

From source file:dewaweebtreeclassifier.Veranda.java

/**
 * // w  w w  . j a v  a 2 s  .  c o  m
 * @param data
 * @return
 */
public boolean isHaveMissingAttributes(Instances data) {
    Enumeration enumInst = data.enumerateInstances();
    while (enumInst.hasMoreElements()) {
        Instance instance = (Instance) enumInst.nextElement();
        if (instance.hasMissingValue()) {
            return true;
        }
    }

    return false;
}

---

From source file:id3.MyID3.java

/**
 * Mengklasifikasikan instance/*w  w  w  .j a v a2  s.co  m*/
 * @param instance data yang ingin di klasifikasikan
 * @return hasil klasifikasi
 * @throws NoSupportForMissingValuesException
 */
public double classifyInstance(Instance instance) throws NoSupportForMissingValuesException {
    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Cannot handle missing value");
    }
    if (currentAttribute == null) {
        return classLabel;
    } else {
        return subTree[(int) instance.value(currentAttribute)].classifyInstance(instance);
    }
}

---

From source file:id3.MyID3.java

/**
 * Menghitung pendistribusian class dalam instances
 * @param instance data yang ingin dihitung distribusinya
 * @return distribusi kelas dari instance
 * @throws NoSupportForMissingValuesException
 *//*from w w w  . ja va  2 s  .  c om*/
public double[] distributionForInstance(Instance instance) throws NoSupportForMissingValuesException {
    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Cannot handle missing value");
    }
    if (currentAttribute == null) {
        return classDistributionAmongInstances;
    } else {
        return subTree[(int) instance.value(currentAttribute)].distributionForInstance(instance);
    }
}

---

From source file:myID3.MyId3.java

/**
* Classifies a given test instance using the decision tree.
*
* @param instance the instance to be classified
* @return the classification/*from  w w w.j a va  2s  .  c o  m*/
* @throws NoSupportForMissingValuesException if instance has missing values
*/
public double classifyInstance(Instance instance) throws NoSupportForMissingValuesException {
    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Id3: no missing values, " + "please.");
    }
    if (currentAttribute == null) {
        return classValue;
    } else {
        return nodes[(int) instance.value(currentAttribute)].classifyInstance(instance);
    }
}

---

From source file:myID3.MyId3.java

/**
 * Computes class distribution for instance using decision tree.
 *
 * @param instance the instance for which distribution is to be computed
 * @return the class distribution for the given instance
 * @throws NoSupportForMissingValuesException if instance has missing values
 *//*from  w w  w . j a  va2  s . c  o m*/
public double[] distributionForInstance(Instance instance) throws NoSupportForMissingValuesException {
    if (instance.hasMissingValue()) {
        throw new NoSupportForMissingValuesException("Id3: no missing values, " + "please.");
    }
    if (currentAttribute == null) {
        return classDistribution;
    } else {
        return nodes[(int) instance.value(currentAttribute)].distributionForInstance(instance);
    }
}

---

• «
• 1
• 2
• »