Ejemplo n.º 1
0
  @Override
  public Map<FieldName, ?> evaluate(Map<FieldName, ?> arguments) {
    RuleSetModel ruleSetModel = getModel();
    if (!ruleSetModel.isScorable()) {
      throw new InvalidResultException(ruleSetModel);
    }

    Map<FieldName, ?> predictions;

    ModelManagerEvaluationContext context = new ModelManagerEvaluationContext(this);
    context.pushFrame(arguments);

    MiningFunctionType miningFunction = ruleSetModel.getFunctionName();
    switch (miningFunction) {
      case CLASSIFICATION:
        predictions = evaluateRuleSet(context);
        break;
      default:
        throw new UnsupportedFeatureException(ruleSetModel, miningFunction);
    }

    return OutputUtil.evaluate(predictions, context);
  }
Ejemplo n.º 2
0
  private Map<FieldName, ? extends ClassificationMap<?>> evaluateRuleSet(
      ModelManagerEvaluationContext context) {
    RuleSetModel ruleSetModel = getModel();

    RuleSet ruleSet = ruleSetModel.getRuleSet();

    List<RuleSelectionMethod> ruleSelectionMethods = ruleSet.getRuleSelectionMethods();

    RuleSelectionMethod ruleSelectionMethod;

    // "If more than one method is included, the first method is used as the default method for
    // scoring"
    if (ruleSelectionMethods.size() > 0) {
      ruleSelectionMethod = ruleSelectionMethods.get(0);
    } else {
      throw new InvalidFeatureException(ruleSet);
    }

    // Both the ordering of keys and values is significant
    ListMultimap<String, SimpleRule> firedRules = LinkedListMultimap.create();

    List<Rule> rules = ruleSet.getRules();
    for (Rule rule : rules) {
      collectFiredRules(firedRules, rule, context);
    }

    RuleClassificationMap result = new RuleClassificationMap();

    RuleSelectionMethod.Criterion criterion = ruleSelectionMethod.getCriterion();

    Set<String> keys = firedRules.keySet();
    for (String key : keys) {
      List<SimpleRule> keyRules = firedRules.get(key);

      switch (criterion) {
        case FIRST_HIT:
          {
            SimpleRule winner = keyRules.get(0);

            // The first value of the first key
            if (result.getEntity() == null) {
              result.setEntity(winner);
            }

            result.put(key, winner.getConfidence());
          }
          break;
        case WEIGHTED_SUM:
          {
            SimpleRule winner = null;

            double totalWeight = 0;

            for (SimpleRule keyRule : keyRules) {

              if (winner == null || (winner.getWeight() < keyRule.getWeight())) {
                winner = keyRule;
              }

              totalWeight += keyRule.getWeight();
            }

            result.put(winner, key, totalWeight / firedRules.size());
          }
          break;
        case WEIGHTED_MAX:
          {
            SimpleRule winner = null;

            for (SimpleRule keyRule : keyRules) {

              if (winner == null || (winner.getWeight() < keyRule.getWeight())) {
                winner = keyRule;
              }
            }

            result.put(winner, key, winner.getConfidence());
          }
          break;
        default:
          throw new UnsupportedFeatureException(ruleSelectionMethod, criterion);
      }
    }

    return TargetUtil.evaluateClassification(result, context);
  }