Package java.io

Examples of java.io.DataOutput.writeDouble()


            canon.write(v);
        }
        {
            double v = rnd.nextDouble();
            test.writeDouble(v);
            canon.writeDouble(v);
        }
        {
            float v = (float) rnd.nextDouble();
            test.writeFloat(v);
            canon.writeFloat(v);
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            canon.write(v);
        }
        {
            double v = rnd.nextDouble();
            test.writeDouble(v);
            canon.writeDouble(v);
        }
        {
            float v = (float) rnd.nextDouble();
            test.writeFloat(v);
            canon.writeFloat(v);
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//        MatrixWritable.writeMatrix(d, this.inputTrainingData );
//        MatrixWritable.writeMatrix(d, this.outputTrainingLabels );

      d.writeDouble( this.learningRateUpdate );
      d.writeBoolean( this.useRegularization );
      d.writeDouble( this.l2 );
     
      d.writeDouble( this.getMomentum() );
      d.writeDouble( this.getSparsity() );
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//        MatrixWritable.writeMatrix(d, this.inputTrainingData );
//        MatrixWritable.writeMatrix(d, this.outputTrainingLabels );

      d.writeDouble( this.learningRateUpdate );
      d.writeBoolean( this.useRegularization );
      d.writeDouble( this.l2 );
     
      d.writeDouble( this.getMomentum() );
      d.writeDouble( this.getSparsity() );
     
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      d.writeDouble( this.learningRateUpdate );
      d.writeBoolean( this.useRegularization );
      d.writeDouble( this.l2 );
     
      d.writeDouble( this.getMomentum() );
      d.writeDouble( this.getSparsity() );
     

      // dont serde optimizer
     
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      d.writeDouble( this.learningRateUpdate );
      d.writeBoolean( this.useRegularization );
      d.writeDouble( this.l2 );
     
      d.writeDouble( this.getMomentum() );
      d.writeDouble( this.getSparsity() );
     

      // dont serde optimizer
     
      // TODO: weight transforms
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        MatrixWritable.writeMatrix(d, this.connectionWeights );
//        MatrixWritable.writeMatrix(d, this.trainingDataset ); 
               
        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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//        MatrixWritable.writeMatrix(d, this.trainingDataset ); 
               
        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 );
View Full Code Here

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

       

    } catch (IOException e) {
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