How to use

getConfidence

method

in

de.tudarmstadt.ukp.inception.recommendation.api.model.AnnotationSuggestion

public Delta(AnnotationSuggestion aFirst, AnnotationSuggestion aSecond)
{
  Validate.notNull(aFirst, "At least first item must be given to compute delta");
  first = aFirst;
  second = aSecond;
  if (second == null) {
    delta = Math.abs(aFirst.getConfidence());
  }
  else {
    delta = Math.abs(first.getConfidence() - second.getConfidence());
  }
}

        .containsKey(ao.getRecommenderId())
    || labelMap.get(ao.getLabel()).get(ao.getRecommenderId())
        .getConfidence() < ao.getConfidence()) {
for (Entry<Long, AnnotationSuggestion> classifier : labelMap.get(label)
    .entrySet()) {
  if (classifier.getValue().getConfidence() > maxConfidence) {
    maxConfidence = classifier.getValue().getConfidence();
  if (ao.getConfidence() != -1) {
    vdoc.add(new VComment(vid, VCommentType.INFO,
        String.format("Confidence: %.2f", ao.getConfidence())));

@Override
public String getDetails(ActiveLearningSuggestionOfferedEvent aEvent)
{
  try {
    Details details = new Details();
    details.ann = new AnnotationDetails();
    details.ann.setBegin(aEvent.getCurrentRecommendation().getBegin());
    details.ann.setEnd(aEvent.getCurrentRecommendation().getEnd());
    details.ann.setText(aEvent.getCurrentRecommendation().getCoveredText());
    details.ann.setType(aEvent.getLayer().getName());
    details.annotationFeature = aEvent.getAnnotationFeature();
    details.currentLabel = aEvent.getCurrentRecommendation().getLabel();
    details.confidence = aEvent.getCurrentRecommendation().getConfidence();
    details.recommenderId = aEvent.getCurrentRecommendation().getRecommenderId();
    List<String> allLabelList = aEvent.getAllRecommendations().stream()
      .map(ao -> ao.getLabel()).collect(Collectors.toList());
    details.allLabels = String.join(", ", allLabelList);
    return JSONUtil.toJsonString(details);
  }
  catch (IOException e) {
    log.error("Unable to log event [{}]", aEvent, e);
    return "<ERROR>";
  }
}

@Override
public String getDetails(ActiveLearningSuggestionOfferedEvent aEvent)
{
  try {
    Details details = new Details();
    details.ann = new AnnotationDetails();
    details.ann.setBegin(aEvent.getCurrentRecommendation().getBegin());
    details.ann.setEnd(aEvent.getCurrentRecommendation().getEnd());
    details.ann.setText(aEvent.getCurrentRecommendation().getCoveredText());
    details.ann.setType(aEvent.getLayer().getName());
    details.annotationFeature = aEvent.getAnnotationFeature();
    details.currentLabel = aEvent.getCurrentRecommendation().getLabel();
    details.confidence = aEvent.getCurrentRecommendation().getConfidence();
    details.recommenderId = aEvent.getCurrentRecommendation().getRecommenderId();
    List<String> allLabelList = aEvent.getAllRecommendations().stream()
      .map(ao -> ao.getLabel()).collect(Collectors.toList());
    details.allLabels = String.join(", ", allLabelList);
    return JSONUtil.toJsonString(details);
  }
  catch (IOException e) {
    log.error("Unable to log event [{}]", aEvent, e);
    return "<ERROR>";
  }
}

@Override
public String getDetails(ActiveLearningRecommendationEvent aEvent)
{
  try {
    ActiveLearningRecommendationDetails details = new ActiveLearningRecommendationDetails();
    details.ann = new AnnotationDetails();
    details.ann.setBegin(aEvent.getCurrentRecommendation().getBegin());
    details.ann.setEnd(aEvent.getCurrentRecommendation().getEnd());
    details.ann.setText(aEvent.getCurrentRecommendation().getCoveredText());
    details.ann.setType(aEvent.getLayer().getName());
    details.annotationFeature = aEvent.getAnnotationFeature();
    details.userAction = aEvent.getAction();
    details.currentLabel = aEvent.getCurrentRecommendation().getLabel();
    details.confidence = aEvent.getCurrentRecommendation().getConfidence();
    details.recommenderId = aEvent.getCurrentRecommendation().getRecommenderId();
    List<String> allLabelList = aEvent.getAllRecommendations().stream()
      .map(ao -> ao.getLabel()).collect(Collectors.toList());
    details.allLabels = String.join(", ", allLabelList);
    return JSONUtil.toJsonString(details);
  }
  catch (IOException e) {
    log.error("Unable to log event [{}]", aEvent, e);
    return "<ERROR>";
  }
}

@Override
public String getDetails(ActiveLearningRecommendationEvent aEvent)
{
  try {
    ActiveLearningRecommendationDetails details = new ActiveLearningRecommendationDetails();
    details.ann = new AnnotationDetails();
    details.ann.setBegin(aEvent.getCurrentRecommendation().getBegin());
    details.ann.setEnd(aEvent.getCurrentRecommendation().getEnd());
    details.ann.setText(aEvent.getCurrentRecommendation().getCoveredText());
    details.ann.setType(aEvent.getLayer().getName());
    details.annotationFeature = aEvent.getAnnotationFeature();
    details.userAction = aEvent.getAction();
    details.currentLabel = aEvent.getCurrentRecommendation().getLabel();
    details.confidence = aEvent.getCurrentRecommendation().getConfidence();
    details.recommenderId = aEvent.getCurrentRecommendation().getRecommenderId();
    List<String> allLabelList = aEvent.getAllRecommendations().stream()
      .map(ao -> ao.getLabel()).collect(Collectors.toList());
    details.allLabels = String.join(", ", allLabelList);
    return JSONUtil.toJsonString(details);
  }
  catch (IOException e) {
    log.error("Unable to log event [{}]", aEvent, e);
    return "<ERROR>";
  }
}