Example usage for weka.core Utils padRight

List of usage examples for weka.core Utils padRight

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Introduction

In this page you can find the example usage for weka.core Utils padRight.

Prototype

public static String padRight(String inString, int length)

Source Link

Document

Pads a string to a specified length, inserting spaces on the right as required.

Usage

From source file:clusterer.HaritsDBScan.java

License:Open Source License

/**
 * Returns a description of the clusterer
 * //from  ww w. j  a  va2 s  .c om
 * @return a string representation of the clusterer
 */
public String toString() {
    StringBuffer stringBuffer = new StringBuffer();
    stringBuffer.append("DBSCAN clustering results\n"
            + "========================================================================================\n\n");
    stringBuffer.append("Clustered DataObjects: " + database.size() + "\n");
    stringBuffer.append("Number of attributes: " + database.getInstances().numAttributes() + "\n");
    stringBuffer.append("Epsilon: " + getEpsilon() + "; minPoints: " + getMinPoints() + "\n");
    stringBuffer.append("Index: " + getDatabase_Type() + "\n");
    stringBuffer.append("Distance-type: " + getDatabase_distanceType() + "\n");
    stringBuffer.append("Number of generated clusters: " + numberOfGeneratedClusters + "\n");
    DecimalFormat decimalFormat = new DecimalFormat(".##");
    stringBuffer.append("Elapsed time: " + decimalFormat.format(elapsedTime) + "\n\n");

    for (int i = 0; i < database.size(); i++) {
        DataObject dataObject = database.getDataObject(Integer.toString(i));
        stringBuffer.append("("
                + Utils.doubleToString(Double.parseDouble(dataObject.getKey()),
                        (Integer.toString(database.size()).length()), 0)
                + ".) " + Utils.padRight(dataObject.toString(), 69) + "  -->  "
                + ((dataObject.getClusterLabel() == DataObject.NOISE) ? "NOISE\n"
                        : dataObject.getClusterLabel() + "\n"));
    }
    return stringBuffer.toString() + "\n";
}

From source file:core.DBScan.java

License:Open Source License

/**
 * Returns a description of the clusterer
 * //  ww  w  . ja va 2s  .  c o m
 * @return a string representation of the clusterer
 */
public String toString() {
    StringBuffer stringBuffer = new StringBuffer();
    stringBuffer.append("DBScan clustering results\n"
            + "========================================================================================\n\n");
    stringBuffer.append("Clustered DataObjects: " + database.size() + "\n");
    stringBuffer.append("Number of attributes: " + database.getInstances().numAttributes() + "\n");
    stringBuffer.append("Epsilon: " + getEpsilon() + "; minPoints: " + getMinPoints() + "\n");
    stringBuffer.append("Index: " + getDatabase_Type() + "\n");
    stringBuffer.append("Distance-type: " + getDatabase_distanceType() + "\n");
    stringBuffer.append("Number of generated clusters: " + numberOfGeneratedClusters + "\n");
    DecimalFormat decimalFormat = new DecimalFormat(".##");
    stringBuffer.append("Elapsed time: " + decimalFormat.format(elapsedTime) + "\n\n");

    double[][] clusterID = new double[1][ID.numInstances()];
    for (int i = 0; i < database.size(); i++) {
        DataObject dataObject = database.getDataObject(Integer.toString(i));
        stringBuffer.append("("
                + Utils.doubleToString(Double.parseDouble(dataObject.getKey()),
                        (Integer.toString(database.size()).length()), 0)
                + ".) " + Utils.padRight(dataObject.toString(), 69) + "  -->  "
                + ((dataObject.getClusterLabel() == DataObject.NOISE) ? "NOISE\n"
                        : dataObject.getClusterLabel() + "\n"));
    }
    return stringBuffer.toString() + "\n";
}

From source file:LogReg.Logistic.java

License:Open Source License

/**
 * Gets a string describing the classifier.
 *
 * @return a string describing the classifer built.
 *///w w  w .j  av a 2s .  c om
public String toString() {
    StringBuffer temp = new StringBuffer();

    String result = "";
    temp.append("Logistic Regression with ridge parameter of " + m_Ridge);
    if (m_Par == null) {
        return result + ": No model built yet.";
    }

    // find longest attribute name
    int attLength = 0;
    for (int i = 0; i < m_structure.numAttributes(); i++) {
        if (i != m_structure.classIndex() && m_structure.attribute(i).name().length() > attLength) {
            attLength = m_structure.attribute(i).name().length();
        }
    }

    if ("Intercept".length() > attLength) {
        attLength = "Intercept".length();
    }

    if ("Variable".length() > attLength) {
        attLength = "Variable".length();
    }
    attLength += 2;

    int colWidth = 0;
    // check length of class names
    for (int i = 0; i < m_structure.classAttribute().numValues() - 1; i++) {
        if (m_structure.classAttribute().value(i).length() > colWidth) {
            colWidth = m_structure.classAttribute().value(i).length();
        }
    }

    // check against coefficients and odds ratios
    for (int j = 1; j <= m_NumPredictors; j++) {
        for (int k = 0; k < m_NumClasses - 1; k++) {
            if (Utils.doubleToString(m_Par[j][k], 12, 4).trim().length() > colWidth) {
                colWidth = Utils.doubleToString(m_Par[j][k], 12, 4).trim().length();
            }
            double ORc = Math.exp(m_Par[j][k]);
            String t = " " + ((ORc > 1e10) ? "" + ORc : Utils.doubleToString(ORc, 12, 4));
            if (t.trim().length() > colWidth) {
                colWidth = t.trim().length();
            }
        }
    }

    if ("Class".length() > colWidth) {
        colWidth = "Class".length();
    }
    colWidth += 2;

    temp.append("\nCoefficients...\n");
    temp.append(Utils.padLeft(" ", attLength) + Utils.padLeft("Class", colWidth) + "\n");
    temp.append(Utils.padRight("Variable", attLength));

    for (int i = 0; i < m_NumClasses - 1; i++) {
        String className = m_structure.classAttribute().value(i);
        temp.append(Utils.padLeft(className, colWidth));
    }
    temp.append("\n");
    int separatorL = attLength + ((m_NumClasses - 1) * colWidth);
    for (int i = 0; i < separatorL; i++) {
        temp.append("=");
    }
    temp.append("\n");

    int j = 1;
    for (int i = 0; i < m_structure.numAttributes(); i++) {
        if (i != m_structure.classIndex()) {
            temp.append(Utils.padRight(m_structure.attribute(i).name(), attLength));
            for (int k = 0; k < m_NumClasses - 1; k++) {
                temp.append(Utils.padLeft(Utils.doubleToString(m_Par[j][k], 12, 4).trim(), colWidth));
            }
            temp.append("\n");
            j++;
        }
    }

    temp.append(Utils.padRight("Intercept", attLength));
    for (int k = 0; k < m_NumClasses - 1; k++) {
        temp.append(Utils.padLeft(Utils.doubleToString(m_Par[0][k], 10, 4).trim(), colWidth));
    }
    temp.append("\n");

    temp.append("\n\nOdds Ratios...\n");
    temp.append(Utils.padLeft(" ", attLength) + Utils.padLeft("Class", colWidth) + "\n");
    temp.append(Utils.padRight("Variable", attLength));

    for (int i = 0; i < m_NumClasses - 1; i++) {
        String className = m_structure.classAttribute().value(i);
        temp.append(Utils.padLeft(className, colWidth));
    }
    temp.append("\n");
    for (int i = 0; i < separatorL; i++) {
        temp.append("=");
    }
    temp.append("\n");

    j = 1;
    for (int i = 0; i < m_structure.numAttributes(); i++) {
        if (i != m_structure.classIndex()) {
            temp.append(Utils.padRight(m_structure.attribute(i).name(), attLength));
            for (int k = 0; k < m_NumClasses - 1; k++) {
                double ORc = Math.exp(m_Par[j][k]);
                String ORs = " " + ((ORc > 1e10) ? "" + ORc : Utils.doubleToString(ORc, 12, 4));
                temp.append(Utils.padLeft(ORs.trim(), colWidth));
            }
            temp.append("\n");
            j++;
        }
    }

    return temp.toString();
}

From source file:meka.core.MLUtils.java

License:Open Source License

/**
 * Print out a HashMap nicely.// w w w.  j ava2s .  c  o m
 * @param   map   HashMap
 * @param   dp   decimal point precision (-1 for no limitation)
 * @return   String representation of map
 */
public static String hashMapToString(HashMap<?, ?> map, int dp) {
    StringBuilder sb = new StringBuilder();
    for (Object k : map.keySet()) {
        sb.append(Utils.padRight(k.toString(), 31));
        Object obj = map.get(k);
        //sb.append(" : ");
        if (obj instanceof Double) {
            sb.append(Utils.doubleToString((Double) obj, 5, dp));
        } else if (obj instanceof double[]) {
            sb.append(A.toString((double[]) obj, dp));
        } else if (obj instanceof int[]) {
            sb.append(A.toString((int[]) obj, dp + 2));
        } else if (obj instanceof String) {
            String s = (String) obj;
            if (s.contains("\n"))
                sb.append("\n");
            sb.append(obj);
            if (s.contains("\n"))
                sb.append("\n");
        } else {
            // don't append if we don't know what it is!
            //sb.append(obj);
        }
        sb.append('\n');
    }
    return sb.toString();
}

From source file:motaz.CODB.java

License:Open Source License

public StringBuffer report() {
    StringBuffer stringBuffer = new StringBuffer();
    DecimalFormat decimalFormat = new DecimalFormat(".#####");
    //decimalFormat.format(
    for (int i = 0; i < database.size(); i++) {
        DataObject dataObject = (DataObject) database.getDataObject(Integer.toString(i));

        stringBuffer.append("("
                + Utils.doubleToString(Double.parseDouble(dataObject.getKey()),
                        (Integer.toString(database.size()).length()), 0)
                + ".) " + Utils.padRight(dataObject.toString(), 69) + "\n");

        List knn = myknn(getK(), dataObject);

        stringBuffer.append(//from w  w  w. ja va  2  s.  c  o  m
                "=== The " + getK() + " Nearst Neighbors of the Instance #" + dataObject.getKey() + " ====\n");
        for (int j = 0; j < knn.size(); j++) {
            PriorityQueueElement pqe = (PriorityQueueElement) knn.get(j);
            DataObject knndataObject = (DataObject) pqe.getObject();
            stringBuffer.append(knndataObject.getKey() + "\t\t" + knndataObject.toString() + "\t\tDistance: "
                    + decimalFormat.format(pqe.getPriority()) + "\n");

        }

        stringBuffer.append(
                "======================================================================================\n");
    }
    return stringBuffer;
}

From source file:technion.prime.history.converters.MyDBScan.java

License:Open Source License

/**
 * Returns a description of the clusterer
 * /*from  ww  w  . j a  va 2s  .  c  om*/
 * @return a string representation of the clusterer
 */
@Override
public String toString() {
    StringBuffer stringBuffer = new StringBuffer();
    stringBuffer.append("DBScan clustering results\n"
            + "========================================================================================\n\n");
    stringBuffer.append("Clustered DataObjects: " + database.size() + "\n");
    stringBuffer.append("Number of attributes: " + database.getInstances().numAttributes() + "\n");
    stringBuffer.append("Epsilon: " + getEpsilon() + "; minPoints: " + getMinPoints() + "\n");
    stringBuffer.append("Index: " + getDatabase_Type() + "\n");
    stringBuffer.append("Distance-type: " + getDatabase_distanceType() + "\n");
    stringBuffer.append("Number of generated clusters: " + numberOfGeneratedClusters + "\n");
    DecimalFormat decimalFormat = new DecimalFormat(".##");
    stringBuffer.append("Elapsed time: " + decimalFormat.format(elapsedTime) + "\n\n");

    for (int i = 0; i < database.size(); i++) {
        DataObject dataObject = database.getDataObject(Integer.toString(i));
        stringBuffer.append("("
                + Utils.doubleToString(Double.parseDouble(dataObject.getKey()),
                        (Integer.toString(database.size()).length()), 0)
                + ".) " + Utils.padRight(dataObject.toString(), 69) + "  -->  "
                + ((dataObject.getClusterLabel() == DataObject.NOISE) ? "NOISE\n"
                        : dataObject.getClusterLabel() + "\n"));
    }
    return stringBuffer.toString() + "\n";
}