org.gersteinlab.incrna
Class ExperimentsRunner

java.lang.Object
  org.gersteinlab.incrna.ExperimentsRunner

public class ExperimentsRunner
extends java.lang.Object

        This class performs the prediction of ncRNAs.
        

Version:

1.0 (March 25, 2009)

        Change History:
        1.0     - Initial version
        

Author:

Kevin Yuk-Lap Yip

Field Summary

static java.lang.String[]

classifierNames

Constructor Summary

ExperimentsRunner()

Method Summary

protected static void	logPrediction(weka.classifiers.Classifier classifier, weka.core.Instance testInstance, weka.core.Instance trimmedTestInstance, java.io.PrintWriter pw) Make prediction on a test instance using a trained model, and log the prediction to a log file.
protected static void	logPredictions(weka.classifiers.Classifier classifier, weka.core.Instances testSet, weka.core.Instances trimmedTestSet, java.io.PrintWriter pw) Make predictions on a testing set using a trained model, and log the predictions to a log file.
static void	main(java.lang.String[] argv)
protected static void	printLogHeader(weka.core.Instances metaData, java.io.PrintWriter pw) Print the header of the log file.

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

classifierNames

public static final java.lang.String[] classifierNames

Constructor Detail

ExperimentsRunner

public ExperimentsRunner()

Method Detail

main

public static void main(java.lang.String[] argv)
                 throws java.lang.Exception

Throws:

java.lang.Exception

logPredictions

protected static void logPredictions(weka.classifiers.Classifier classifier,
                                     weka.core.Instances testSet,
                                     weka.core.Instances trimmedTestSet,
                                     java.io.PrintWriter pw)
                              throws java.lang.Exception

Make predictions on a testing set using a trained model, and log the predictions to a log file.

Parameters:

classifier - The trained model

testSet - The testing set, may contain columns not used in training

trimmedTestSet - The testing set, without any columns not used in training

pw - A print writer to the log file

Throws:

java.lang.Exception

logPrediction

protected static void logPrediction(weka.classifiers.Classifier classifier,
                                    weka.core.Instance testInstance,
                                    weka.core.Instance trimmedTestInstance,
                                    java.io.PrintWriter pw)
                             throws java.lang.Exception

Make prediction on a test instance using a trained model, and log the prediction to a log file.

Parameters:

classifier - The trained model

testInstance - The testing instance, may contain columns not used in training

trimmedTestInstance - The testing instance, without any columns not used in training

pw - A print writer to the log file

Throws:

java.lang.Exception

printLogHeader

protected static void printLogHeader(weka.core.Instances metaData,
                                     java.io.PrintWriter pw)

Print the header of the log file.

Parameters:

metaData - An instance set that contains the meta data. Can use the whole data set if available.

pw - A print writer to the log file