samoa-api/src/main/java/org/apache/samoa/learners/classifiers/rules/distributed/AMRulesAggregatorProcessor.java [423:442]:
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    public Builder(AMRulesAggregatorProcessor processor) {
      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;
    }
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samoa-api/src/main/java/org/apache/samoa/learners/classifiers/rules/centralized/AMRulesRegressorProcessor.java [405:424]:
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    public Builder(AMRulesRegressorProcessor processor) {
      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;
    }
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