Example usage for weka.classifiers.functions SMO FILTER_NONE

Introduction

In this page you can find the example usage for weka.classifiers.functions SMO FILTER_NONE.

Prototype

int FILTER_NONE

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Document

filter: No normalization/standardization

Usage

From source file:jjj.asap.sas.models1.job.BuildRBFKernelModels.java

License:Open Source License

@Override
protected void run() throws Exception {

    // validate args
    if (!Bucket.isBucket("datasets", inputBucket)) {
        throw new FileNotFoundException(inputBucket);
    }//from   w  w w .  j av  a2 s  .  c  o m
    if (!Bucket.isBucket("models", outputBucket)) {
        throw new FileNotFoundException(outputBucket);
    }

    // init multi-threading
    Job.startService();
    final Queue<Future<Object>> queue = new LinkedList<Future<Object>>();

    // get the input from the bucket
    List<String> names = Bucket.getBucketItems("datasets", this.inputBucket);
    for (String dsn : names) {

        SMO smo = new SMO();
        smo.setFilterType(new SelectedTag(SMO.FILTER_NONE, SMO.TAGS_FILTER));
        smo.setBuildLogisticModels(true);
        RBFKernel kernel = new RBFKernel();
        kernel.setGamma(0.05);
        smo.setKernel(kernel);

        AttributeSelectedClassifier asc = new AttributeSelectedClassifier();
        asc.setEvaluator(new InfoGainAttributeEval());
        Ranker ranker = new Ranker();
        ranker.setThreshold(0.01);
        asc.setSearch(ranker);
        asc.setClassifier(smo);

        queue.add(Job.submit(new ModelBuilder(dsn, "InfoGain-SMO-RBFKernel", asc, this.outputBucket)));
    }

    // wait on complete
    Progress progress = new Progress(queue.size(), this.getClass().getSimpleName());
    while (!queue.isEmpty()) {
        try {
            queue.remove().get();
        } catch (Exception e) {
            Job.log("ERROR", e.toString());
        }
        progress.tick();
    }
    progress.done();
    Job.stopService();

}

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