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:mulan.transformations.BinaryRelevanceTransformation.java

License:Open Source License

/**
 * Remove all label attributes except labelToKeep
 * @param instance // www  .j a v  a2 s .c  o  m
 * @param labelToKeep 
 * @return transformed Instance
 */
public Instance transformInstance(Instance instance, int labelToKeep) {
    Instance newInstance = DataUtils.createInstance(instance, instance.numAttributes());
    newInstance.setDataset(null);
    int numPredictors = instance.numAttributes() - numOfLabels;
    int skipLabel = 0;
    for (int labelIndex = 0; labelIndex < numOfLabels; labelIndex++) {
        if (labelIndex == labelToKeep) {
            skipLabel++;
            continue;
        }
        newInstance.deleteAttributeAt(numPredictors + skipLabel);
    }
    return newInstance;
}

From source file:mulan.transformations.IncludeLabelsTransformation.java

License:Open Source License

/**
 *
 * @param mlData multi-label data//from w ww  . j  a  v a  2s.c  om
 * @return transformed instances
 * @throws Exception Potential exception thrown. To be handled in an upper level.
 */
public Instances transformInstances(MultiLabelInstances mlData) throws Exception {
    int numLabels = mlData.getNumLabels();
    labelIndices = mlData.getLabelIndices();

    // remove all labels
    Instances transformed = RemoveAllLabels.transformInstances(mlData);

    // add at the end an attribute with values the label names
    ArrayList<String> labelNames = new ArrayList<String>(numLabels);
    for (int counter = 0; counter < numLabels; counter++) {
        labelNames.add(mlData.getDataSet().attribute(labelIndices[counter]).name());
    }
    Attribute attrLabel = new Attribute("Label", labelNames);
    transformed.insertAttributeAt(attrLabel, transformed.numAttributes());

    // and at the end a binary attribute
    ArrayList<String> binaryValues = new ArrayList<String>(2);
    binaryValues.add("0");
    binaryValues.add("1");
    Attribute classAttr = new Attribute("Class", binaryValues);
    transformed.insertAttributeAt(classAttr, transformed.numAttributes());

    // add instances
    transformed = new Instances(transformed, 0);
    transformed.setClassIndex(transformed.numAttributes() - 1);
    Instances data = mlData.getDataSet();
    for (int instanceIndex = 0; instanceIndex < data.numInstances(); instanceIndex++) {
        for (int labelCounter = 0; labelCounter < numLabels; labelCounter++) {
            Instance temp;
            temp = RemoveAllLabels.transformInstance(data.instance(instanceIndex), labelIndices);
            temp.setDataset(null);
            temp.insertAttributeAt(temp.numAttributes());
            temp.insertAttributeAt(temp.numAttributes());
            temp.setDataset(transformed);
            temp.setValue(temp.numAttributes() - 2, (String) labelNames.get(labelCounter));
            if (data.attribute(labelIndices[labelCounter])
                    .value((int) data.instance(instanceIndex).value(labelIndices[labelCounter])).equals("1")) {
                temp.setValue(temp.numAttributes() - 1, "1");
            } else {
                temp.setValue(temp.numAttributes() - 1, "0");
            }
            transformed.add(temp);
        }
    }

    return transformed;
}

From source file:mulan.transformations.IncludeLabelsTransformation.java

License:Open Source License

/**
 * Transform an unlabeled instance to the format expected by
 * the binary classifier//from  w ww  .  ja v a2s  . c  o  m
 *
 * @param instance an unlabeled instance
 * @return a transformed unlabeled instance
 * @throws Exception Potential exception thrown. To be handled in an upper level.
 */
public Instance transformInstance(Instance instance) throws Exception {
    if (labelIndices == null) {
        System.out.println("Label Indices not set!!");
        return null;
    }
    Instance transformedInstance = RemoveAllLabels.transformInstance(instance, labelIndices);
    transformedInstance.setDataset(null);
    transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
    transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
    return transformedInstance;
}

From source file:mulan.transformations.LabelPowersetTransformation.java

License:Open Source License

public Instance transformInstance(Instance instance, int[] labelIndices) throws Exception {
    Instance transformedInstance = RemoveAllLabels.transformInstance(instance, labelIndices);
    transformedInstance.setDataset(null);
    transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
    transformedInstance.setDataset(transformedFormat);
    return transformedInstance;
}

From source file:mulan.transformations.multiclass.Copy.java

License:Open Source License

/**
 * Transforms a multi-label instance to a list of single-label instances,
 * one for each of the labels that annotate the instance, by copying the
 * feature vector//w  w  w  . j  a  v  a2s. c  om
 *
 * @param instance a multi-label instance
 * @return a list with the transformed single-label instances
 */
List<Instance> transformInstance(Instance instance) {
    List<Instance> result = new ArrayList<Instance>();
    for (int counter = 0; counter < numOfLabels; counter++) {
        if (instance.attribute(labelIndices[counter]).value((int) instance.value(labelIndices[counter]))
                .equals("1")) {
            Instance transformed = null;
            try {
                transformed = RemoveAllLabels.transformInstance(instance, labelIndices);
                transformed.setDataset(null);
                transformed.insertAttributeAt(transformed.numAttributes());
                transformed.setValue(transformed.numAttributes() - 1, counter);
            } catch (Exception ex) {
                Logger.getLogger(Copy.class.getName()).log(Level.SEVERE, null, ex);
            }
            result.add(transformed);
        }
    }
    return result;
}

From source file:mulan.transformations.multiclass.Ignore.java

License:Open Source License

/**
 * Transforms a multi-label example with a single annotation to a
 * single-label example and ignores multi-label example with more
 * annotations//from ww w  . j av  a 2s.  c o  m
 *
 * @param instance a multi-label example
 * @return a list that is either empty or contains the transformed
 * single-label example
 */
List<Instance> transformInstance(Instance instance) {
    List<Instance> result = new ArrayList<Instance>();
    int indexOfSingleLabel = -1;
    int counter = 0;
    for (int labelCounter = 0; labelCounter < numOfLabels; labelCounter++) {
        int index = labelIndices[labelCounter];
        if (instance.attribute(index).value((int) instance.value(index)).equals("1")) {
            counter++;
            indexOfSingleLabel = labelCounter;
        }
        if (counter > 1) {
            break;
        }
    }
    if (counter > 1 || counter == 0) {
        return result;
    }

    Instance transformedInstance;
    try {
        transformedInstance = RemoveAllLabels.transformInstance(instance, labelIndices);
        transformedInstance.setDataset(null);
        transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
        transformedInstance.setValue(transformedInstance.numAttributes() - 1, indexOfSingleLabel);
        result.add(transformedInstance);
    } catch (Exception ex) {
        Logger.getLogger(Ignore.class.getName()).log(Level.SEVERE, null, ex);
    }
    return result;
}

From source file:mulan.transformations.multiclass.SelectBasedOnFrequency.java

License:Open Source License

/**
 * Transforms a multi-label example to a list containing a single-label
 * multi-class example by selecting the most/least frequent label in the 
 * training set/* ww w.j ava 2s  .  c o  m*/
 *
 * @param instance
 * @return
 */
List<Instance> transformInstance(Instance instance) {
    int value = labelOccurance[0];
    int labelSelected = 0;
    for (int counter = 1; counter < numOfLabels; counter++) {
        if (instance.attribute(labelIndices[counter]).value((int) instance.value(labelIndices[counter]))
                .equals("1")) {
            boolean test = false;
            switch (type) {
            case MIN:
                test = labelOccurance[counter] < value ? true : false;
                break;
            case MAX:
                test = labelOccurance[counter] > value ? true : false;
                break;
            }

            if (test) {
                value = labelOccurance[counter];
                labelSelected = counter;
            }
        }
    }

    Instance transformed = null;
    try {
        transformed = RemoveAllLabels.transformInstance(instance, labelIndices);
        transformed.setDataset(null);
        transformed.insertAttributeAt(transformed.numAttributes());
        transformed.setValue(transformed.numAttributes() - 1, labelSelected);
    } catch (Exception ex) {
        Logger.getLogger(Copy.class.getName()).log(Level.SEVERE, null, ex);
    }

    List<Instance> result = new ArrayList<Instance>();
    result.add(transformed);
    return result;
}

From source file:mulan.transformations.multiclass.SelectRandom.java

License:Open Source License

/**
 * Transforms a multi-label example to a list containing a single-label
 * multi-class example by randomly selecting one of the labels
 * /*from   w w w.jav  a 2  s .  c o  m*/
 * @param instance the multi-label example
 * @return the list with the single-label multi-class example
 */
List<Instance> transformInstance(Instance instance) {
    ArrayList<Integer> labels = new ArrayList<Integer>();
    for (int counter = 0; counter < numOfLabels; counter++) {
        if (instance.attribute(labelIndices[counter]).value((int) instance.value(labelIndices[counter]))
                .equals("1")) {
            labels.add(counter);
        }
    }

    int randomLabel = labels.get((int) (Math.random() * labels.size()));

    Instance transformed = null;
    try {
        transformed = RemoveAllLabels.transformInstance(instance, labelIndices);
        transformed.setDataset(null);
        transformed.insertAttributeAt(transformed.numAttributes());
        transformed.setValue(transformed.numAttributes() - 1, randomLabel);
    } catch (Exception ex) {
        Logger.getLogger(Copy.class.getName()).log(Level.SEVERE, null, ex);
    }

    List<Instance> result = new ArrayList<Instance>();
    result.add(transformed);
    return result;
}

From source file:mulan.transformations.PT6Transformation.java

License:Open Source License

public Instances transformInstances(MultiLabelInstances mlData) throws Exception {
    int numLabels = mlData.getNumLabels();
    labelIndices = mlData.getLabelIndices();

    // remove all labels
    Instances transformed = RemoveAllLabels.transformInstances(mlData);

    // add at the end an attribute with values the label names
    ArrayList<String> labelNames = new ArrayList<String>(numLabels);
    for (int counter = 0; counter < numLabels; counter++) {
        labelNames.add(mlData.getDataSet().attribute(labelIndices[counter]).name());
    }/*from   ww  w .  j  a v a2  s . c  o  m*/
    Attribute attrLabel = new Attribute("Label", labelNames);
    transformed.insertAttributeAt(attrLabel, transformed.numAttributes());

    // and at the end a binary attribute
    ArrayList<String> binaryValues = new ArrayList<String>(2);
    binaryValues.add("0");
    binaryValues.add("1");
    Attribute classAttr = new Attribute("Class", binaryValues);
    transformed.insertAttributeAt(classAttr, transformed.numAttributes());

    // add instances
    transformed = new Instances(transformed, 0);
    transformed.setClassIndex(transformed.numAttributes() - 1);
    Instances data = mlData.getDataSet();
    for (int instanceIndex = 0; instanceIndex < data.numInstances(); instanceIndex++) {
        for (int labelCounter = 0; labelCounter < numLabels; labelCounter++) {
            Instance temp;
            temp = RemoveAllLabels.transformInstance(data.instance(instanceIndex), labelIndices);
            temp.setDataset(null);
            temp.insertAttributeAt(temp.numAttributes());
            temp.insertAttributeAt(temp.numAttributes());
            temp.setDataset(transformed);
            temp.setValue(temp.numAttributes() - 2, (String) labelNames.get(labelCounter));
            if (data.attribute(labelIndices[labelCounter])
                    .value((int) data.instance(instanceIndex).value(labelIndices[labelCounter])).equals("1")) {
                temp.setValue(temp.numAttributes() - 1, "1");
            } else {
                temp.setValue(temp.numAttributes() - 1, "0");
            }
            transformed.add(temp);
        }
    }

    return transformed;
}

From source file:mulan.transformations.PT6Transformation.java

License:Open Source License

public Instance transformInstance(Instance instance) throws Exception {
    if (labelIndices == null) {
        System.out.println("Label Indices not set!!");
        return null;
    }/*from  ww  w  .j av  a 2 s.  com*/
    Instance transformedInstance = RemoveAllLabels.transformInstance(instance, labelIndices);
    transformedInstance.setDataset(null);
    transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
    transformedInstance.insertAttributeAt(transformedInstance.numAttributes());
    return transformedInstance;
}