Example usage for weka.core Instance setValue

List of usage examples for weka.core Instance setValue

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Introduction

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

Prototype

public void setValue(Attribute att, String value);

Source Link

Document

Sets a value of an nominal or string attribute to the given value.

Usage

From source file:ca.uottawa.balie.WekaLearner.java

License:Open Source License

private Instance CreateInstance2(Object[] pi_Instance, String pi_Class) {
    Instance inst = new Instance(pi_Instance.length + 1);
    for (int i = 0; i != pi_Instance.length; ++i) {
        if (pi_Instance[i] instanceof Double) {
            inst.setValue((Attribute) m_WekaAttributes.elementAt(i), ((Double) pi_Instance[i]).doubleValue());
        } else if (pi_Instance[i] instanceof String) {
            try {
                inst.setValue((Attribute) m_WekaAttributes.elementAt(i), (String) pi_Instance[i]);
            } catch (Exception e) {
                if (DEBUG)
                    DebugInfo.Out("Unknow attribute for learner: " + (String) pi_Instance[i]);
                inst.setMissing((Attribute) m_WekaAttributes.elementAt(i));
            }/*from www  .  j  av a 2  s.  c  om*/

        }
    }
    inst.setValue((Attribute) m_WekaAttributes.lastElement(), pi_Class);
    return inst;
}

From source file:ca.uottawa.balie.WekaLearner.java

License:Open Source License

private Instance CreateDoubleInstance(Object[] pi_Instance, String pi_Class) {
    double[] instval = new double[pi_Instance.length];
    for (int i = 0; i != pi_Instance.length; ++i) {
        instval[i] = ((Double) pi_Instance[i]).doubleValue();
    }/*from  w  w w . j a  va 2s  . c om*/
    Instance inst = new Instance(1, instval);
    inst.insertAttributeAt(inst.numAttributes());
    inst.setValue((Attribute) m_WekaAttributes.lastElement(), pi_Class);
    return inst;
}

From source file:ca.uottawa.balie.WekaLearner.java

License:Open Source License

public Instance CreateUnlabeledInstance(Object[] pi_Instance) {
    Instance inst = new Instance(pi_Instance.length + 1);
    for (int i = 0; i != pi_Instance.length; ++i) {
        if (pi_Instance[i] instanceof Double) {
            inst.setValue((Attribute) m_WekaAttributes.elementAt(i), ((Double) pi_Instance[i]).doubleValue());
        } else if (pi_Instance[i] instanceof String) {
            try {
                inst.setValue((Attribute) m_WekaAttributes.elementAt(i), (String) pi_Instance[i]);
            } catch (Exception e) {
                if (DEBUG)
                    DebugInfo.Out("Unknow attribute for learner: " + (String) pi_Instance[i]);
                inst.setMissing((Attribute) m_WekaAttributes.elementAt(i));
            }/*  w  w  w.java2  s .  c  o  m*/

        }
    }
    inst.setMissing((Attribute) m_WekaAttributes.lastElement());
    return inst;
}

From source file:ca.uottawa.balie.WekaLearner.java

License:Open Source License

private Instance CreateInstance(Object[] pi_Instance) {
    Instance inst = new Instance(pi_Instance.length + 1);
    for (int i = 0; i != pi_Instance.length; ++i) {
        if (pi_Instance[i] instanceof Double) {
            inst.setValue((Attribute) m_WekaAttributes.elementAt(i), ((Double) pi_Instance[i]).doubleValue());
        } else if (pi_Instance[i] instanceof String) {
            try {
                inst.setValue((Attribute) m_WekaAttributes.elementAt(i), (String) pi_Instance[i]);
            } catch (Exception e) {
                if (DEBUG)
                    DebugInfo.Out("Unknow attribute for learner: " + (String) pi_Instance[i]);
                inst.setMissing((Attribute) m_WekaAttributes.elementAt(i));
            }//from   ww w.jav a 2s.c  o m
        }
    }
    return inst;
}

From source file:ca.uottawa.balie.WekaLearner.java

License:Open Source License

/**
 * Classify an unseen instance using the learned classifier.
 * Ouput the likelihood of each class./*from   w  w w.  ja  v  a  2 s  .c om*/
 * 
 * @param pi_Instance The instance, an array of objects (can mix numeric and nominal attributes - see {@link WekaAttribute})
 * @return An array of probabilities, parallel to the possible classes
 * @see WekaAttribute
 */
public double[] GetDistribution(Object[] pi_Instance) {
    Instance inst = new Instance(pi_Instance.length + 1);
    for (int i = 0; i != pi_Instance.length; ++i) {
        if (pi_Instance[i] instanceof Double) {
            inst.setValue((Attribute) m_WekaAttributes.elementAt(i), ((Double) pi_Instance[i]).doubleValue());
        } else if (pi_Instance[i] instanceof String) {
            try {
                inst.setValue((Attribute) m_WekaAttributes.elementAt(i), (String) pi_Instance[i]);
            } catch (Exception e) {
                if (DEBUG)
                    DebugInfo.Out("Unknow attribute for learner: " + (String) pi_Instance[i]);
                inst.setMissing((Attribute) m_WekaAttributes.elementAt(i));
            }
        }
    }
    inst.setDataset(m_TrainingSet);
    double fDistribution[] = null;
    try {
        fDistribution = m_Scheme.distributionForInstance(inst);
    } catch (Exception e) {
        System.out.println(e.getMessage());
    }
    return fDistribution;
}

From source file:categorization.SpectralWEKA.java

License:Open Source License

public void buildClusterer(ArrayList<String> seqDB, double[][] sm) {
    seqList = seqDB;/*  w ww  . j  a  va 2  s  .c o m*/

    this.setSimMatrix(sm);

    Attribute seqString = new Attribute("sequence", (FastVector) null);
    FastVector attrInfo = new FastVector();
    attrInfo.addElement(seqString);
    Instances data = new Instances("data", attrInfo, 0);

    for (int i = 0; i < seqList.size(); i++) {
        Instance currentInst = new Instance(1);
        currentInst.setDataset(data);
        currentInst.setValue(0, seqList.get(i));
        data.add(currentInst);
    }

    try {
        buildClusterer(data);
    } catch (Exception e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
}

From source file:CEP.CEPListener.java

Instances SetDuration(Instances in) throws InterruptedException {
    Instances out = HeaderManager.GetEmptyStructure();
    for (Instance inst : in) {

        double time = inst.toDoubleArray()[5];
        if (time > 20) {
            inst.setValue(5, time - windowSize);
            out.add(inst);//from ww w. j  a  v  a  2  s.  com
        }
    }
    return out;

}

From source file:cezeri.utils.FactoryInstance.java

public static Instances generateInstances(String relationName, int nCols) {
    CMatrix cm = CMatrix.getInstance().zeros(1, nCols);
    FastVector att = new FastVector();
    for (int i = 0; i < cm.getColumnNumber(); i++) {
        att.addElement(new Attribute("f" + (i + 1)));
    }//from  ww w. j  a  v  a2  s. c om
    Instances ret = new Instances(relationName, att, cm.getRowNumber());
    for (int i = 0; i < cm.getRowNumber(); i++) {
        Instance ins = new Instance(cm.getColumnNumber());
        for (int j = 0; j < cm.getColumnNumber(); j++) {
            ins.setValue(j, cm.get2DArrayDouble()[i][j]);
        }
        ret.add(ins);
    }
    ret.setClassIndex(ret.numAttributes() - 1);
    return ret;
}

From source file:cezeri.utils.FactoryInstance.java

public static Instances generateInstances(String relationName, CMatrix cm) {
    FastVector att = new FastVector();
    for (int i = 0; i < cm.getColumnNumber(); i++) {
        att.addElement(new Attribute("f" + (i + 1)));
    }/*from  ww w . j  a  v a  2s  . c o m*/
    Instances ret = new Instances(relationName, att, cm.getRowNumber());
    for (int i = 0; i < cm.getRowNumber(); i++) {
        Instance ins = new Instance(cm.getColumnNumber());
        for (int j = 0; j < cm.getColumnNumber(); j++) {
            ins.setValue(j, cm.get2DArrayDouble()[i][j]);
        }
        ret.add(ins);
    }
    ret.setClassIndex(ret.numAttributes() - 1);
    return ret;
}

From source file:cezeri.utils.FactoryInstance.java

public static Instances generateInstances(String relationName, double[][] m) {
    FastVector att = new FastVector();
    for (int i = 0; i < m[0].length; i++) {
        att.addElement(new Attribute("f" + (i + 1)));
    }//  w w  w  . j av  a 2s.co m
    Instances ret = new Instances(relationName, att, m.length);
    for (int i = 0; i < m.length; i++) {
        Instance ins = new Instance(m[0].length);
        for (int j = 0; j < m[0].length; j++) {
            ins.setValue(j, m[i][j]);
        }
        ret.add(ins);
    }
    ret.setClassIndex(ret.numAttributes() - 1);
    return ret;
}