How to use

Resample

in

weka.filters.unsupervised.instance

/** Creates a default Resample */
public Filter getFilter() {
 Resample f = new Resample();
 f.setSampleSizePercent(50);
 return f;
}

 setRandomSeed(Integer.parseInt(tmpStr));
} else {
 setRandomSeed(1);
 setSampleSizePercent(Double.parseDouble(tmpStr));
} else {
 setSampleSizePercent(100);
setNoReplacement(Utils.getFlag("no-replacement", options));
if (getNoReplacement()) {
 setInvertSelection(Utils.getFlag('V', options));
if (getInputFormat() != null) {
 setInputFormat(getInputFormat());

/**
 * Input an instance for filtering. Filter requires all training instances be
 * read before producing output.
 * 
 * @param instance the input instance
 * @return true if the filtered instance may now be collected with output().
 * @throws IllegalStateException if no input structure has been defined
 */
@Override
public boolean input(Instance instance) {
 if (getInputFormat() == null) {
  throw new IllegalStateException("No input instance format defined");
 }
 if (m_NewBatch) {
  resetQueue();
  m_NewBatch = false;
 }
 if (isFirstBatchDone()) {
  push(instance);
  return true;
 } else {
  bufferInput(instance);
  return false;
 }
}

 /**
  * Main method for testing this class.
  * 
  * @param argv should contain arguments to the filter: use -h for help
  */
 public static void main(String[] argv) {
  runFilter(new Resample(), argv);
 }
}

/**
 * Signify that this batch of input to the filter is finished. If the filter
 * requires all instances prior to filtering, output() may now be called to
 * retrieve the filtered instances.
 * 
 * @return true if there are instances pending output
 * @throws IllegalStateException if no input structure has been defined
 */
@Override
public boolean batchFinished() {
 if (getInputFormat() == null) {
  throw new IllegalStateException("No input instance format defined");
 }
 if (!isFirstBatchDone()) {
  // Do the subsample, and clear the input instances.
  createSubsample();
 }
 flushInput();
 m_NewBatch = true;
 m_FirstBatchDone = true;
 return (numPendingOutput() != 0);
}

} else {
 log("Generating sample (" + getSampleSizePercent() + "%)");
 resample = new Resample();
 resample.setRandomSeed(retrieveOwner().getSeed());
 resample.setSampleSizePercent(getSampleSizePercent());
 resample.setInputFormat(inst);
 sample = Filter.useFilter(inst, resample);

public void testSampleSizePercentNoReplacementInverted() {
 ((Resample) m_Filter).setSampleSizePercent(20);
 ((Resample) m_Filter).setNoReplacement(true);
 ((Resample) m_Filter).setInvertSelection(true);
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 80% of input (20% inverted)",
        m_Instances.numInstances() 
        - (int) (m_Instances.numInstances() * 20.0 / 100),  result.numInstances());
}

public void testSampleSizePercentNoReplacement() {
 ((Resample) m_Filter).setSampleSizePercent(20);
 ((Resample) m_Filter).setNoReplacement(true);
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 20% of input",
        (int) (m_Instances.numInstances() * 20.0 / 100),  result.numInstances());
}

public void testSampleSizePercent() {
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 50% of input",
        m_Instances.numInstances() / 2,  result.numInstances());
 ((Resample)m_Filter).setSampleSizePercent(200);
 result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 200% of input",
        m_Instances.numInstances() * 2,  result.numInstances());
}

@ProgrammaticProperty
public void setSeed(int seed) {
 setRandomSeed(seed);
}

resample = new Resample();
resample.setRandomSeed(retrieveOwner().getSeed());
resample.setSampleSizePercent(getSampleSizePercent());
resample.setInputFormat(inst);
sample = Filter.useFilter(inst, resample);

public void testSampleSizePercentNoReplacementInverted() {
 ((Resample) m_Filter).setSampleSizePercent(20);
 ((Resample) m_Filter).setNoReplacement(true);
 ((Resample) m_Filter).setInvertSelection(true);
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 80% of input (20% inverted)",
        m_Instances.numInstances() 
        - (int) (m_Instances.numInstances() * 20.0 / 100),  result.numInstances());
}

public void testSampleSizePercentNoReplacement() {
 ((Resample) m_Filter).setSampleSizePercent(20);
 ((Resample) m_Filter).setNoReplacement(true);
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 20% of input",
        (int) (m_Instances.numInstances() * 20.0 / 100),  result.numInstances());
}

/**
 * Signify that this batch of input to the filter is finished. If the filter
 * requires all instances prior to filtering, output() may now be called to
 * retrieve the filtered instances.
 * 
 * @return true if there are instances pending output
 * @throws IllegalStateException if no input structure has been defined
 */
@Override
public boolean batchFinished() {
 if (getInputFormat() == null) {
  throw new IllegalStateException("No input instance format defined");
 }
 if (!isFirstBatchDone()) {
  // Do the subsample, and clear the input instances.
  createSubsample();
 }
 flushInput();
 m_NewBatch = true;
 m_FirstBatchDone = true;
 return (numPendingOutput() != 0);
}

 /**
  * Main method for testing this class.
  * 
  * @param argv should contain arguments to the filter: use -h for help
  */
 public static void main(String[] argv) {
  runFilter(new Resample(), argv);
 }
}

public void testSampleSizePercent() {
 Instances result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 50% of input",
        m_Instances.numInstances() / 2,  result.numInstances());
 ((Resample)m_Filter).setSampleSizePercent(200);
 result = useFilter();
 assertEquals(m_Instances.numAttributes(), result.numAttributes());
 assertEquals("Expecting output to be 200% of input",
        m_Instances.numInstances() * 2,  result.numInstances());
}

@ProgrammaticProperty
public void setSeed(int seed) {
 setRandomSeed(seed);
}

resample = new Resample();
resample.setRandomSeed(retrieveOwner().getSeed());
resample.setSampleSizePercent(getSampleSizePercent());
resample.setInputFormat(inst);
sample = Filter.useFilter(inst, resample);

 setRandomSeed(Integer.parseInt(tmpStr));
} else {
 setRandomSeed(1);
 setSampleSizePercent(Double.parseDouble(tmpStr));
} else {
 setSampleSizePercent(100);
setNoReplacement(Utils.getFlag("no-replacement", options));
if (getNoReplacement()) {
 setInvertSelection(Utils.getFlag('V', options));
if (getInputFormat() != null) {
 setInputFormat(getInputFormat());

/** Creates a default Resample */
public Filter getFilter() {
 Resample f = new Resample();
 f.setSampleSizePercent(50);
 return f;
}