samoa-api/src/main/java/org/apache/samoa/learners/classifiers/rules/centralized/AMRulesRegressorProcessor.java [406:498]:
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      this.pageHinckleyThreshold = processor.pageHinckleyThreshold;
      this.pageHinckleyAlpha = processor.pageHinckleyAlpha;
      this.driftDetection = processor.driftDetection;
      this.predictionFunction = processor.predictionFunction;
      this.constantLearningRatioDecay = processor.constantLearningRatioDecay;
      this.learningRatio = processor.learningRatio;
      this.splitConfidence = processor.splitConfidence;
      this.tieThreshold = processor.tieThreshold;
      this.gracePeriod = processor.gracePeriod;

      this.noAnomalyDetection = processor.noAnomalyDetection;
      this.multivariateAnomalyProbabilityThreshold = processor.multivariateAnomalyProbabilityThreshold;
      this.univariateAnomalyprobabilityThreshold = processor.univariateAnomalyprobabilityThreshold;
      this.anomalyNumInstThreshold = processor.anomalyNumInstThreshold;
      this.unorderedRules = processor.unorderedRules;

      this.numericObserver = processor.numericObserver;
      this.voteType = processor.voteType;
    }

    public Builder threshold(int threshold) {
      this.pageHinckleyThreshold = threshold;
      return this;
    }

    public Builder alpha(double alpha) {
      this.pageHinckleyAlpha = alpha;
      return this;
    }

    public Builder changeDetection(boolean changeDetection) {
      this.driftDetection = changeDetection;
      return this;
    }

    public Builder predictionFunction(int predictionFunction) {
      this.predictionFunction = predictionFunction;
      return this;
    }

    public Builder constantLearningRatioDecay(boolean constantDecay) {
      this.constantLearningRatioDecay = constantDecay;
      return this;
    }

    public Builder learningRatio(double learningRatio) {
      this.learningRatio = learningRatio;
      return this;
    }

    public Builder splitConfidence(double splitConfidence) {
      this.splitConfidence = splitConfidence;
      return this;
    }

    public Builder tieThreshold(double tieThreshold) {
      this.tieThreshold = tieThreshold;
      return this;
    }

    public Builder gracePeriod(int gracePeriod) {
      this.gracePeriod = gracePeriod;
      return this;
    }

    public Builder noAnomalyDetection(boolean noAnomalyDetection) {
      this.noAnomalyDetection = noAnomalyDetection;
      return this;
    }

    public Builder multivariateAnomalyProbabilityThreshold(double mAnomalyThreshold) {
      this.multivariateAnomalyProbabilityThreshold = mAnomalyThreshold;
      return this;
    }

    public Builder univariateAnomalyProbabilityThreshold(double uAnomalyThreshold) {
      this.univariateAnomalyprobabilityThreshold = uAnomalyThreshold;
      return this;
    }

    public Builder anomalyNumberOfInstancesThreshold(int anomalyNumInstThreshold) {
      this.anomalyNumInstThreshold = anomalyNumInstThreshold;
      return this;
    }

    public Builder unorderedRules(boolean unorderedRules) {
      this.unorderedRules = unorderedRules;
      return this;
    }

    public Builder numericObserver(FIMTDDNumericAttributeClassLimitObserver numericObserver) {
      this.numericObserver = numericObserver;
      return this;
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samoa-api/src/main/java/org/apache/samoa/learners/classifiers/rules/distributed/AMRulesAggregatorProcessor.java [424:516]:
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      this.pageHinckleyThreshold = processor.pageHinckleyThreshold;
      this.pageHinckleyAlpha = processor.pageHinckleyAlpha;
      this.driftDetection = processor.driftDetection;
      this.predictionFunction = processor.predictionFunction;
      this.constantLearningRatioDecay = processor.constantLearningRatioDecay;
      this.learningRatio = processor.learningRatio;
      this.splitConfidence = processor.splitConfidence;
      this.tieThreshold = processor.tieThreshold;
      this.gracePeriod = processor.gracePeriod;

      this.noAnomalyDetection = processor.noAnomalyDetection;
      this.multivariateAnomalyProbabilityThreshold = processor.multivariateAnomalyProbabilityThreshold;
      this.univariateAnomalyprobabilityThreshold = processor.univariateAnomalyprobabilityThreshold;
      this.anomalyNumInstThreshold = processor.anomalyNumInstThreshold;
      this.unorderedRules = processor.unorderedRules;

      this.numericObserver = processor.numericObserver;
      this.voteType = processor.voteType;
    }

    public Builder threshold(int threshold) {
      this.pageHinckleyThreshold = threshold;
      return this;
    }

    public Builder alpha(double alpha) {
      this.pageHinckleyAlpha = alpha;
      return this;
    }

    public Builder changeDetection(boolean changeDetection) {
      this.driftDetection = changeDetection;
      return this;
    }

    public Builder predictionFunction(int predictionFunction) {
      this.predictionFunction = predictionFunction;
      return this;
    }

    public Builder constantLearningRatioDecay(boolean constantDecay) {
      this.constantLearningRatioDecay = constantDecay;
      return this;
    }

    public Builder learningRatio(double learningRatio) {
      this.learningRatio = learningRatio;
      return this;
    }

    public Builder splitConfidence(double splitConfidence) {
      this.splitConfidence = splitConfidence;
      return this;
    }

    public Builder tieThreshold(double tieThreshold) {
      this.tieThreshold = tieThreshold;
      return this;
    }

    public Builder gracePeriod(int gracePeriod) {
      this.gracePeriod = gracePeriod;
      return this;
    }

    public Builder noAnomalyDetection(boolean noAnomalyDetection) {
      this.noAnomalyDetection = noAnomalyDetection;
      return this;
    }

    public Builder multivariateAnomalyProbabilityThreshold(double mAnomalyThreshold) {
      this.multivariateAnomalyProbabilityThreshold = mAnomalyThreshold;
      return this;
    }

    public Builder univariateAnomalyProbabilityThreshold(double uAnomalyThreshold) {
      this.univariateAnomalyprobabilityThreshold = uAnomalyThreshold;
      return this;
    }

    public Builder anomalyNumberOfInstancesThreshold(int anomalyNumInstThreshold) {
      this.anomalyNumInstThreshold = anomalyNumInstThreshold;
      return this;
    }

    public Builder unorderedRules(boolean unorderedRules) {
      this.unorderedRules = unorderedRules;
      return this;
    }

    public Builder numericObserver(FIMTDDNumericAttributeClassLimitObserver numericObserver) {
      this.numericObserver = numericObserver;
      return this;
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