Examples of DawidSkene

Examples of com.ipeirotis.gal.algorithms.DawidSkene

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    return super.execute(ctx);
  }

  public void reportConfusionMatrix(ReportingContext ctx, ReportTarget reportTarget) {

    DawidSkene ds = ctx.getDawidSkene();
    DawidSkeneDecorator decorator = new DawidSkeneDecorator(ds);

    String type = "Estimated";

    for (ClassificationMethod estimatedClasMethod : Datum.ClassificationMethod.values()) {
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Examples of com.ipeirotis.gal.algorithms.DawidSkene

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  }

  public void execute() {
    setCategories(loadCategories(ctx.getCategoriesFile()));

    setDawidSkene(new DawidSkene(getCategories()));
   
    if (getDs().fixedPriors() == true)
      println("Using fixed priors.");
    else
      println("Using data-inferred priors.");
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Examples of com.ipeirotis.gal.scripts.DawidSkene

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        Set<Category> categories = new HashSet<Category>();
        Category relevant = new Category("1");
        Category irrelevant = new Category("0");
        categories.add(relevant);
        categories.add(irrelevant);
        DawidSkene ds = new DawidSkene(categories);

        ds.addMisclassificationCost(new MisclassificationCost(relevant.getName(), relevant.getName(), 0.0));
        ds.addMisclassificationCost(new MisclassificationCost(irrelevant.getName(), irrelevant.getName(), 0.0));
        ds.addMisclassificationCost(new MisclassificationCost(relevant.getName(), irrelevant.getName(), 1.0));
        ds.addMisclassificationCost(new MisclassificationCost(irrelevant.getName(), relevant.getName(), 1.0));

        for (Vote vote : votes ) {
           if (vote.sequence <= threshold ) {
              AssignedLabel l = new AssignedLabel( vote.worker, vote.unit, vote.label);
              ds.addAssignedLabel(l);
            }
        }

        ds.estimate( 20 );
       
        return ds.getMajorityVote();
    }
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