Example usage for weka.filters.unsupervised.attribute RandomProjection output

Introduction

In this page you can find the example usage for weka.filters.unsupervised.attribute RandomProjection output.

Prototype

public Instance output() 

Source Link

Document

Output an instance after filtering and remove from the output queue.

Usage

From source file:com.sliit.normalize.NormalizeDataset.java

public int whiteningData() {
    System.out.println("whiteningData");

    int nums = 0;
    try {//from ww  w  .j a v a  2 s.c  o  m

        if (tempFIle != null && tempFIle.exists()) {

            csv.setSource(tempFIle);
        } else {

            csv.setSource(csvFile);
        }
        Instances instances = csv.getDataSet();
        if (instances.numAttributes() > 10) {
            instances.setClassIndex(instances.numAttributes() - 1);
            RandomProjection random = new RandomProjection();
            random.setDistribution(
                    new SelectedTag(RandomProjection.GAUSSIAN, RandomProjection.TAGS_DSTRS_TYPE));
            reducedDiemensionFile = new File(csvFile.getParent() + "/tempwhite.csv");
            if (!reducedDiemensionFile.exists()) {

                reducedDiemensionFile.createNewFile();
            }
            // CSVSaver saver = new CSVSaver();
            /// saver.setFile(reducedDiemensionFile);
            random.setInputFormat(instances);
            //saver.setRetrieval(AbstractSaver.INCREMENTAL);
            BufferedWriter writer = new BufferedWriter(new FileWriter(reducedDiemensionFile));
            for (int i = 0; i < instances.numInstances(); i++) {

                random.input(instances.instance(i));
                random.setNumberOfAttributes(10);
                random.setReplaceMissingValues(true);
                writer.write(random.output().toString());
                writer.newLine();
                //saver.writeIncremental(random.output());
            }
            writer.flush();
            writer.close();
            nums = random.getNumberOfAttributes();
        } else {

            nums = instances.numAttributes();
        }
    } catch (IOException e) {

        log.error("Error occurred:" + e.getMessage());
    } catch (Exception e) {

        log.error("Error occurred:" + e.getMessage());
    }
    return nums;
}

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