Public

<init>

setIgnoreClass

Signify that this batch of input to the filter is finished. If the filter
requires all instances pri

batchFinished

bufferInput

Convert a single instance over. The converted instance is added to the end of
the output queue.

convertInstance

flushInput

getInputFormat

Input an instance for filtering. Filter requires all training instances be read
before producing out

input

numPendingOutput

output

push

resetQueue

runFilter

setInputFormat

setOutputFormat

Standardize

Start an intent from android

This class implements a simple HTTP server. A HttpServer is bound to an IP
address and port number a

com.sun.net.httpserver.HttpServer

Timers schedule one-shot or recurring TimerTask for execution. Prefer
java.util.concurrent.Scheduled

java.util.Timer

javax.swing.BoxLayout

javax.swing.JFrame

javax.swing.JPanel

Used to perform Get operations on a single row. To get everything for a row,
instantiate a Get objec

org.apache.hadoop.hbase.client.Get

scheduleAtFixedRate

runOnUiThread

startActivity

/**
   * Processes the given data (may change the provided dataset) and returns the
   * modified version. This method is called in batchFinished().
   * 
   * @param instances the data to process
   * @return the modified data
   * @throws Exception in case the processing goes wrong
   * @see #batchFinished()
   */

// save original class values if no prediction is performed

// add the mean to the class again if predictions are to be performed,

// otherwise restore original class values

/**
   * Method for building the classifier.
   *
   * @param instances the set of training instances
   * @throws Exception if the classifier can't be built successfully
   */

// Removes all the instances with weight equal to 0.

// MUST be done since condition (8) of Keerthi's paper 

// is made with the assertion Ci > 0 (See equation (3a).

"No training instances left after removing "

"instance with either a weight null or a missing class!"

// retrieve two different class values used to determine filter transformation

// degenerate case, all class values are equal

// we don't want to deal with this, too much hassle

"All class values are the same. At least two class values should be different"

// no division by zero, since y0 != y1 guaranteed => z0 != z1 ???

/**
   * Method for building the classifier.
   * 
   * @param insts the set of training instances
   * @throws Exception if the classifier can't be built successfully
   */

// determine which linear transformation has been

// Store square roots of instance m_weights

// initialize kernel matrix/covariance matrix

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

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