Package java.io

Examples of java.io.DataInput.readFloat()

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            Vector<Float> floatV = new Vector<Float>();

            try {
                while (true) {
                    float f = dis.readFloat();
                    floatV.add(new Float(f));
                }
            } catch (EOFException eof) {
                stream.close();
            }
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            Vector<Float> floatV = new Vector<Float>();

            try {
                while (true) {
                    float f = dis.readFloat();
                    floatV.add(new Float(f));
                }
            } catch (EOFException eof) {
                stream.close();
            }
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                            break;
                        case Integer:
                            heightData[index] = di.readInt() * 0.5f / Integer.MAX_VALUE + 0.5f;
                            break;
                        case Float:
                            heightData[index] = di.readFloat() / Float.MAX_VALUE;
                            break;
                    }
                }
            }
            dis.close();
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    this.IterationComplete = in.readInt();
    this.CurrentIteration = in.readInt();
   
    this.TrainedRecords = in.readInt(); // d.writeInt(this.TrainedRecords);
    this.AvgLogLikelihood = in.readFloat(); // d.writeFloat(this.AvgLogLikelihood);
    this.PercentCorrect = in.readFloat(); // d.writeFloat(this.PercentCorrect);
   
    this.parameter_vector = MatrixWritable.readMatrix(in);
   
  }
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    this.IterationComplete = in.readInt();
    this.CurrentIteration = in.readInt();
   
    this.TrainedRecords = in.readInt(); // d.writeInt(this.TrainedRecords);
    this.AvgLogLikelihood = in.readFloat(); // d.writeFloat(this.AvgLogLikelihood);
    this.PercentCorrect = in.readFloat(); // d.writeFloat(this.PercentCorrect);
   
    this.parameter_vector = MatrixWritable.readMatrix(in);
   
  }
 
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      this.IterationComplete = in.readInt();
      this.CurrentIteration = in.readInt();
      this.batchTimeMS = in.readLong();
     
      this.TrainedRecords = in.readInt(); // d.writeInt(this.TrainedRecords);
      this.AvgError = in.readFloat(); // d.writeFloat(this.PercentCorrect);
     
      this.parameter_vector = MatrixWritable.readMatrix(in);
     
    }
   
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        this.IterationComplete = in.readInt();
        this.CurrentIteration = in.readInt();
       
        this.TrainedRecords = in.readInt(); // d.writeInt(this.TrainedRecords);
        //this.AvgLogLikelihood = in.readFloat(); // d.writeFloat(this.AvgLogLikelihood);
        this.PercentCorrect = in.readFloat(); // d.writeFloat(this.PercentCorrect);
        this.RMSE = in.readDouble();

         ObjectInputStream oistream = null;

          try {
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