Examples of weka.filters.unsupervised.instance.Resample

weka.filters.unsupervised.instance.Resample

Produces a random subsample of a dataset using either sampling with replacement or without replacement. The original dataset must fit entirely in memory. The number of instances in the generated dataset may be specified. When used in batch mode, subsequent batches are NOT resampled.

Valid options are:

 -S <num> Specify the random number seed (default 1)

 -Z <num> The size of the output dataset, as a percentage of the input dataset (default 100)

 -no-replacement Disables replacement of instances (default: with replacement)

 -V Inverts the selection - only available with '-no-replacement'.

@author Len Trigg (len@reeltwo.com) @author FracPete (fracpete at waikato dot ac dot nz) @version $Revision: 5548 $

    boolean    finished;
    PointDouble    result;
    PointDouble    resultOld;
    int      iteration;
    Instances    sample;
    Resample    resample;


    log("Step 1:\n");


    // generate sample?
    if (getSampleSizePercent() == 100) {
      sample = m_Data;
    }
    else {
      log("Generating sample (" + getSampleSizePercent() + "%)");
      resample = new Resample();
      resample.setRandomSeed(getSeed());
      resample.setSampleSizePercent(getSampleSizePercent());
      resample.setInputFormat(m_Data);
      sample = Filter.useFilter(m_Data, resample);
    }
    
    finished                  = false;
    iteration                 = 0;

    boolean    finished;
    PointDouble    result;
    PointDouble    resultOld;
    int      iteration;
    Instances    sample;
    Resample    resample;


    log("Step 1:\n");


    // generate sample?
    if (getSampleSizePercent() == 100) {
      sample = m_Data;
    }
    else {
      log("Generating sample (" + getSampleSizePercent() + "%)");
      resample = new Resample();
      resample.setRandomSeed(getSeed());
      resample.setSampleSizePercent(getSampleSizePercent());
      resample.setInputFormat(m_Data);
      sample = Filter.useFilter(m_Data, resample);
    }
    
    finished                  = false;
    iteration                 = 0;

Related Classes of weka.filters.unsupervised.instance.Resample

All source code are property of their respective owners. Java is a trademark of Sun Microsystems, Inc and owned by ORACLE Inc. Contact coftware#gmail.com.