Package java.io

Examples of java.io.DataInput.readBoolean()


    this.iteration = in.readInt();
   
    this.datasetPassComplete = in.readBoolean();
    this.preTrainPhaseComplete = in.readBoolean();
    this.masterSignalToStartFineTunePhase = in.readBoolean();
    this.masterSignalToStartNextDatasetPass = in.readBoolean();
   
    int bytesToRead = in.readInt();
   
    this.dbn_payload = new byte[ bytesToRead ];
    in.readFully( this.dbn_payload, 0, bytesToRead );
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      this.sparsity = di.readDouble();
      this.momentum = di.readDouble();
      this.l2 = di.readDouble();
      this.renderWeightsEveryNumEpochs = di.readInt();
      this.fanIn = di.readDouble();
      this.useRegularization = di.readBoolean();
     
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
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      rows = di.readInt();
      cols = di.readInt();
      numIterations = di.readInt();
     
      lrDecay = di.readDouble();
      decayLr = di.readBoolean();
      minLearningRate = di.readDouble();     
     
    } catch (Exception e) {
      throw new RuntimeException(e);
    }
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//      this.labels = MatrixWritable.readMatrix( di );

      this.connectionWeights = MatrixWritable.readMatrix( di );
      this.biasTerms = MatrixWritable.readMatrix( di );
     
      this.useRegularization = di.readBoolean();
     
        this.useAdaGrad = di.readBoolean();
       
        if ( null == this.adaLearningRates ) {
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      this.connectionWeights = MatrixWritable.readMatrix( di );
      this.biasTerms = MatrixWritable.readMatrix( di );
     
      this.useRegularization = di.readBoolean();
     
        this.useAdaGrad = di.readBoolean();
       
        if ( null == this.adaLearningRates ) {

          this.adaLearningRates = new AdagradLearningRate( nIn, nOut );
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        }
       
        this.biasAdaGrad.load( is );
       
        this.firstTimeThrough = di.readBoolean();
        this.normalizeByInputRows = di.readBoolean();
       
        int optAlgoId = di.readInt();
       
        // TODO: dont remember how to serde an Enum. fix. (only two options today)
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        }
       
        this.biasAdaGrad.load( is );
       
        this.firstTimeThrough = di.readBoolean();
        this.normalizeByInputRows = di.readBoolean();
       
        int optAlgoId = di.readInt();
       
        // TODO: dont remember how to serde an Enum. fix. (only two options today)
        //if (OptimizationAlgorithm.CONJUGATE_GRADIENT == this.optimizationAlgorithm) {
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        for (int i = 0; i < size; ++i) {
          Integer cfid = Integer.valueOf(ris.readInt());
          if (filter >= 0 && cfid != filter) {
            continue outer;
          }
          if (!ris.readBoolean()) {
            continue;
          }
          cfid = Integer.valueOf(ris.readInt());
          int localDeletionTime = ris.readInt();
          long markedForDeleteAt = ris.readLong();
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        for (int i = 0; i < size; ++i) {
          Integer cfid = Integer.valueOf(ris.readInt());
          if (columnFamilyId >= 0 && cfid != columnFamilyId) {
            continue outer;
          }
          if (!ris.readBoolean()) {
            continue;
          }
          cfid = Integer.valueOf(ris.readInt());
          int localDeletionTime = ris.readInt();
          long markedForDeleteAt = ris.readLong();
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