How to use
setInputFormat
method
in
weka.filters.unsupervised.attribute.Standardize

Best Java code snippets using weka.filters.unsupervised.attribute.Standardize.setInputFormat (Showing top 4 results out of 315)

Common ways to obtain Standardize

private void myMethod () {
 Standardize s =new Standardize()
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}

protected void fillCovariance() throws Exception {
 // just center the data or standardize it?
 if (m_center) {
  m_centerFilter = new Center();
  m_centerFilter.setInputFormat(m_TrainInstances);
  m_TrainInstances = Filter.useFilter(m_TrainInstances, m_centerFilter);
 } else {
  m_standardizeFilter = new Standardize();
  m_standardizeFilter.setInputFormat(m_TrainInstances);
  m_TrainInstances = Filter.useFilter(m_TrainInstances, m_standardizeFilter);
 }
 // now compute the covariance matrix
 m_Correlation = new UpperSymmDenseMatrix(m_NumAttribs);
 for (int i = 0; i < m_NumAttribs; i++) {
  for (int j = i; j < m_NumAttribs; j++) {
   double cov = 0;
   for (Instance inst: m_TrainInstances) {
    cov += inst.value(i) * inst.value(j);
   }
   cov /= m_TrainInstances.numInstances() - 1;
   m_Correlation.set(i, j, cov);
  }
 }
}

protected void fillCovariance() throws Exception {
 // just center the data or standardize it?
 if (m_center) {
  m_centerFilter = new Center();
  m_centerFilter.setInputFormat(m_TrainInstances);
  m_TrainInstances = Filter.useFilter(m_TrainInstances, m_centerFilter);
 } else {
  m_standardizeFilter = new Standardize();
  m_standardizeFilter.setInputFormat(m_TrainInstances);
  m_TrainInstances = Filter.useFilter(m_TrainInstances, m_standardizeFilter);
 }
 // now compute the covariance matrix
 m_Correlation = new UpperSymmDenseMatrix(m_NumAttribs);
 for (int i = 0; i < m_NumAttribs; i++) {
  for (int j = i; j < m_NumAttribs; j++) {
   double cov = 0;
   for (Instance inst: m_TrainInstances) {
    cov += inst.value(i) * inst.value(j);
   }
   cov /= m_TrainInstances.numInstances() - 1;
   m_Correlation.set(i, j, cov);
  }
 }
}

} else {
 m_standardizeFilter = new Standardize();
 m_standardizeFilter.setInputFormat(m_trainInstances);
 m_trainInstances = Filter.useFilter(m_trainInstances, m_standardizeFilter);

} else {
 m_standardizeFilter = new Standardize();
 m_standardizeFilter.setInputFormat(m_trainInstances);
 m_trainInstances = Filter.useFilter(m_trainInstances, m_standardizeFilter);

Javadoc

Sets the format of the input instances.

Popular methods of Standardize

<init>
setIgnoreClass
batchFinished
Signify that this batch of input to the filter is finished. If the filter requires all instances pri
bufferInput
convertInstance
Convert a single instance over. The converted instance is added to the end of the output queue.
flushInput
getInputFormat
input
Input an instance for filtering. Filter requires all training instances be read before producing out
numPendingOutput
output
push
resetQueue

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How to use setInputFormatmethodin weka.filters.unsupervised.attribute.Standardize

Best Java code snippets using weka.filters.unsupervised.attribute.Standardize.setInputFormat (Showing top 4 results out of 315)

How to use
setInputFormat
method
in
weka.filters.unsupervised.attribute.Standardize