Example usage for weka.core Instance numAttributes

Introduction

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

Prototype

public int numAttributes();

Source Link

Document

Returns the number of attributes.

Usage

From source file:cotraining.copy.Evaluation_D.java

License:Open Source License

/**
 * Builds a string listing the attribute values in a specified range of indices,
 * separated by commas and enclosed in brackets.
 *
 * @param instance the instance to print the values from
 * @param attRange the range of the attributes to list
 * @return a string listing values of the attributes in the range
 *//*from   w  w w .  j  av a 2s  .  co m*/
protected static String attributeValuesString(Instance instance, Range attRange) {
    StringBuffer text = new StringBuffer();
    if (attRange != null) {
        boolean firstOutput = true;
        attRange.setUpper(instance.numAttributes() - 1);
        for (int i = 0; i < instance.numAttributes(); i++)
            if (attRange.isInRange(i) && i != instance.classIndex()) {
                if (firstOutput)
                    text.append("(");
                else
                    text.append(",");
                text.append(instance.toString(i));
                firstOutput = false;
            }
        if (!firstOutput)
            text.append(")");
    }
    return text.toString();
}

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From source file:couchdb.CouchDBService.java

/**
 * Metoda do zapisywania danych do bazy.
 *
 * @param fileName nazwa pliku z danymi, akceptowalny format to pliki ARFF
 * @param dataBaseName nazwa bazy danych
 *//*www . j av  a2 s  . c  o  m*/
public void importData(String fileName, String dataBaseName) {
    WekaService ws = new WekaService(fileName);
    ArrayList<String> listOfAttributesNames = ws.getAttributesName();
    ArrayList<Instance> listOfInstances = ws.getInstances();
    Database db = session.getDatabase(dataBaseName);
    for (int i = 0; i < listOfInstances.size(); i++) {
        Instance instance = listOfInstances.get(i);
        Document doc = new Document();
        doc.setId(String.valueOf(i));
        for (int j = 0; j < instance.numAttributes(); j++) {
            doc.put(listOfAttributesNames.get(j), instance.toString(j));
        }
        db.saveDocument(doc);
    }

}

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From source file:couchdb.PrepareData.java

/**
 * Metoda do zmiany danych przechowywanych w dokumentach JSON na dane
 * przechowywane w obiekcie typu Instances.
 *
 * @return Zbir danych typu Instances./* w  w w.ja va  2s.co m*/
 */
public Instances getDataForWeka() {
    CouchDBService cdbs = new CouchDBService();
    ArrayList<String> listOfValues = cdbs.getValues(simpleDocumentList);
    ParseJSON p = new ParseJSON();
    ArrayList<String> listOfSimpleAttributes = p.getAttributes(simpleDocumentList.get(0));
    ArrayList<String> listOfComplexAttributes = new ArrayList<>();

    FastVector listOfAttributes = getAtributes(simpleDocumentList, listOfValues);
    Instances instances = new Instances(nameData, listOfAttributes, 0);

    for (int j = 0; j < simpleDocumentList.size(); j++) {
        Instance instance = new Instance(listOfAttributes.size());
        instances.add(instance);
    }

    int k = 0;
    for (int i = 0; i < instances.numInstances(); i++) {
        Instance ins = instances.instance(i);
        for (int j = 0; j < ins.numAttributes(); j++) {
            String s = listOfValues.get(k);
            if (s.equals("nn")) {
                return null;
            }
            if (s.equals("")) {
                k++;
                j--;
                continue;
            }
            if (ins.attribute(j).type() == 0) {
                double d = 0;
                try {
                    d = Double.parseDouble(s);
                } catch (NumberFormatException ex) {
                    d = 0;
                }
                ins.setValue(j, d);
            } else {

                ins.setValue(j, s);
            }
            k++;
        }
    }

    return instances;
}

---

From source file:cyber009.udal.functions.LinearFunction.java

public void syntacticLabelFunction(Instance set) {
    double sum = 0.0D;
    for (int n = 0; n < set.numAttributes() - 1; n++) {
        sum += set.value(n) * coefficients[n];
    }/*from w w w  .  ja  v a2 s  . co m*/
    if (sum < 0.0D) {
        set.setClassValue("1");
    } else {
        set.setClassValue("0");
    }
}

---

From source file:cyber009.udal.functions.StatisticalAnalysis.java

public static boolean instanceCMPWithoutClass(Instance a, Instance b) {
    if (a.numAttributes() == b.numAttributes()) {
        for (int i = 0; i < a.numAttributes(); i++) {
            if (a.value(i) != b.value(i)) {
                return false;
            }//from w w w.j  a va 2 s  .c o  m
        }
    } else {
        return false;
    }
    return true;
}

---

From source file:data.generation.target.utils.PrincipalComponents.java

License:Open Source License

/**
 * Convert a pc transformed instance back to the original space
 * /*from   w w w.  ja va 2  s  .c o m*/
 * @param inst        the instance to convert
 * @return            the processed instance
 * @throws Exception  if something goes wrong
 */
private Instance convertInstanceToOriginal(Instance inst) throws Exception {
    double[] newVals = null;

    if (m_hasClass) {
        newVals = new double[m_numAttribs + 1];
    } else {
        newVals = new double[m_numAttribs];
    }

    if (m_hasClass) {
        // class is always appended as the last attribute
        newVals[m_numAttribs] = inst.value(inst.numAttributes() - 1);
    }

    for (int i = 0; i < m_eTranspose[0].length; i++) {
        double tempval = 0.0;
        for (int j = 1; j < m_eTranspose.length; j++) {
            tempval += (m_eTranspose[j][i] * inst.value(j - 1));
        }
        newVals[i] = tempval;
        if (!m_center) {
            newVals[i] *= m_stdDevs[i];
        }
        newVals[i] += m_means[i];
    }

    if (inst instanceof SparseInstance) {
        return new SparseInstance(inst.weight(), newVals);
    } else {
        return new Instance(inst.weight(), newVals);
    }
}

---

From source file:dataMining.KMeans.java

/**
 * Metoda do sprawdzania czy instancje podane jako parametr s takie same.
 *
 * @param insA piewrsza instanca//ww  w  .  ja v a  2s. c o m
 * @param insB druga instancja
 * @return True, jeli s takie same, false w przeciwnym wypadku.
 */
private boolean equals(Instance insA, Instance insB) {
    if (insA.numAttributes() != insB.numAttributes()) {
        throw new NullPointerException("Rna liczba atrybutw");
    } else {
        int countTheSame = 0;
        for (int i = 0; i < insA.numAttributes(); i++) {
            double a = 0;
            double b = 0;
            try {
                a = Double.parseDouble(insA.toString(i));
            } catch (NumberFormatException ex) {
                a = 0;
            }
            try {
                b = Double.parseDouble(insB.toString(i));
            } catch (NumberFormatException ex) {
                b = 0;
            }
            if (Math.abs(a - b) == 0) {
                countTheSame++;
            }

        }
        int countAttr = insB.numAttributes();

        if (countTheSame == countAttr) {
            return true;
        } else {
            return false;
        }

    }

}

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From source file:dataMining.KMeans.java

/**
 * Metoda do wyznaczania nowych rodkw grup.
 *
 * @return lista zawierajca nowe rodki./*ww  w. ja  va 2  s.c om*/
 */
private ArrayList<Instance> makeNewMeans() {
    ArrayList<Instance> listOfMeans = new ArrayList<>();
    for (Instance i : groups.keySet()) {
        ArrayList<Instance> list = groups.get(i);
        double[] tab = new double[i.numAttributes()];
        for (Instance in : list) {
            for (int j = 0; j < tab.length; j++) {
                double d = 0;
                try {
                    d = Double.parseDouble(in.toString(j));
                } catch (NumberFormatException ex) {
                    d = 0;
                }
                tab[j] = tab[j] + d;
            }
        }
        for (int j = 0; j < tab.length; j++) {
            tab[j] = tab[j] / list.size();
        }
        Instance ins = new Instance(tab.length);
        for (int j = 0; j < tab.length; j++) {
            ins.setValue(j, tab[j]);
        }
        listOfMeans.add(ins);
    }
    return listOfMeans;
}

---

From source file:dataMining.KMeans.java

/**
 * Metoda do wyznaczania odlegoci pomiedzy obiektami podanymi jako
 * parametr. Odlego liczona metryk Euklidesow.
 *
 * @param a pierwszy obiekt//from  w w w . ja  v a 2  s .  c o m
 * @param b drugi obiekt
 * @return Odlego pomidzy obiektami.
 */
private double euclid(Instance a, Instance b) {
    float sum = 0;
    float attrA = 0;
    float attrB = 0;
    for (int i = 0; i < a.numAttributes(); i++) {
        try {
            attrA = Float.parseFloat(a.toString(i));
        } catch (NumberFormatException ex) {
            attrA = 0;
        }
        try {
            attrB = Float.parseFloat(b.toString(i));
        } catch (NumberFormatException ex) {
            attrB = 0;
        }

        float d = attrA - attrB;
        sum = sum + d * d;
    }
    return Math.sqrt(sum);
}

---

From source file:dataMining.kNN.java

/**
 * Metoda do liczenia odlegoci metryk Manhattan.
 *
 * @param a pierwszy obiekt/* www  .  j  a  v  a  2  s  .  c o  m*/
 * @param b drugi obiekt
 * @return odlego
 */
private int manhattan(Instance a, Instance b) {
    int sum = 0;
    for (int i = 0; i < a.numAttributes(); i++) {
        if (i == numAtt) {
            continue;
        } else {
            int tmp = 0;
            try {
                tmp = Math.abs(Integer.parseInt(a.toString(i)) - Integer.parseInt(b.toString(i)));
            } catch (NumberFormatException ex) {
                tmp = 0;
            }
            sum = sum + tmp;
        }
    }
    return sum;
}

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