Package java.io

Examples of java.io.DataOutput.writeInt()


        DataOutput d = new DataOutputStream(os);
        ObjectOutputStream oos = new ObjectOutputStream(os);
    
       
        d.writeInt( this.inputNeuronCount );
        d.writeInt( this.outputNeuronCount );
       
        d.writeInt( this.numberLayers );
       
        for ( int x = 0; x < this.numberLayers; x++ ) {
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        DataOutput d = new DataOutputStream(os);
        ObjectOutputStream oos = new ObjectOutputStream(os);
    
       
        d.writeInt( this.inputNeuronCount );
        d.writeInt( this.outputNeuronCount );
       
        d.writeInt( this.numberLayers );
       
        for ( int x = 0; x < this.numberLayers; x++ ) {
         
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        d.writeInt( this.inputNeuronCount );
        d.writeInt( this.outputNeuronCount );
       
        d.writeInt( this.numberLayers );
       
        for ( int x = 0; x < this.numberLayers; x++ ) {
         
          d.writeInt( this.hiddenLayerSizes[ x ] );
         
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        d.writeInt( this.numberLayers );
       
        for ( int x = 0; x < this.numberLayers; x++ ) {
         
          d.writeInt( this.hiddenLayerSizes[ x ] );
         
        }

        // write in hidden layers
        for ( int x = 0; x < this.numberLayers; x++ ) {
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    // write the DBN data right into
    // this.dbn.write(out);

    //return this.dbn_payload;
   
    d.writeInt( this.iteration );
   
    d.writeBoolean( this.datasetPassComplete );
    d.writeBoolean( this.preTrainPhaseComplete );
   
    d.writeBoolean( this.masterSignalToStartFineTunePhase );
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    d.writeBoolean( this.preTrainPhaseComplete );
   
    d.writeBoolean( this.masterSignalToStartFineTunePhase );
    d.writeBoolean( this.masterSignalToStartNextDatasetPass );
   
    d.writeInt( this.dbn_payload.length );
    out.write( this.dbn_payload );
   
   
    return out.toByteArray();
  }
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    try {

        DataOutput d = new DataOutputStream(os);
        ObjectOutputStream oos = new ObjectOutputStream(os);
       
        d.writeInt( this.numberVisibleNeurons );
        d.writeInt( this.numberHiddenNeurons );
       
        MatrixWritable.writeMatrix(d, this.hiddenBiasNeurons );
        MatrixWritable.writeMatrix(d, this.visibleBiasNeurons );
        MatrixWritable.writeMatrix(d, this.connectionWeights );
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        DataOutput d = new DataOutputStream(os);
        ObjectOutputStream oos = new ObjectOutputStream(os);
       
        d.writeInt( this.numberVisibleNeurons );
        d.writeInt( this.numberHiddenNeurons );
       
        MatrixWritable.writeMatrix(d, this.hiddenBiasNeurons );
        MatrixWritable.writeMatrix(d, this.visibleBiasNeurons );
        MatrixWritable.writeMatrix(d, this.connectionWeights );
//        MatrixWritable.writeMatrix(d, this.trainingDataset ); 
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        oos.writeObject( this.randNumGenerator );

      d.writeDouble( this.sparsity );
      d.writeDouble( this.momentum );
      d.writeDouble( this.l2 );
      d.writeInt( this.renderWeightsEveryNumEpochs );
      d.writeDouble( this.fanIn );
      d.writeBoolean( this.useRegularization );

       
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  public void serializeParameters(OutputStream os) {
    try {

        DataOutput d = new DataOutputStream(os);
       
        d.writeInt( this.numberVisibleNeurons );
        d.writeInt( this.numberHiddenNeurons );
       
        // ??
        MatrixWritable.writeMatrix(d, this.hiddenBiasNeurons );
        // ??
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