Package joshua.discriminative.training.risk_annealer.hypergraph.parallel

Examples of joshua.discriminative.training.risk_annealer.hypergraph.parallel.GradientConsumer


       RiskAndFeatureAnnotationOnLMHG riskAnnotatorNoEquiv = new RiskAndFeatureAnnotationOnLMHG(
           this.baselineLMOrder, this.ngramStateID, this.linearCorpusGainThetas, this.symbolTbl,
          this.featureStringToIntegerMap, this.featTemplates, this.haveRefereces);
             
      
       GradientConsumer c = new GradientConsumer(this.useSemiringV2, this, queue, weightsForTheta,
           riskAnnotatorNoEquiv, this.temperature, this.scalingFactor, this.shouldComputeGradientForScalingFactor);
      
       consumers.add(c);
     }
    
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Related Classes of joshua.discriminative.training.risk_annealer.hypergraph.parallel.GradientConsumer

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