Package org.encog

Examples of org.encog.NullStatusReportable

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   * @param theCodec
   *            The codec to use.
   */
  public MemoryDataLoader(final DataSetCODEC theCodec) {
    this.codec = theCodec;
    this.status = new NullStatusReportable();
  }
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  /**
   * Construct the object, and set the defaults.
   */
  public BasicFile() {
    this.precision = Encog.DEFAULT_PRECISION;
    this.report = new NullStatusReportable();
    this.reportInterval = REPORT_INTERVAL;
    this.produceOutputHeaders = true;
    resetStatus();
  }
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    final double cStop = holder.getDouble(SVMSearchFactory.PROPERTY_C2, false, SVMSearchJob.DEFAULT_CONST_END);
    final double gammaStep = holder.getDouble(SVMSearchFactory.PROPERTY_GAMMA_STEP, false, SVMSearchJob.DEFAULT_GAMMA_STEP);
    final double cStep = holder.getDouble(SVMSearchFactory.PROPERTY_C_STEP, false, SVMSearchJob.DEFAULT_CONST_STEP);
   
    final SVMSearchJob result
    = new SVMSearchJob((SVM)method, training, new NullStatusReportable());
   
    result.setGammaBegin(gammaStart);
    result.setGammaEnd(gammaStop);
    result.setGammaStep(gammaStep);
    result.setConstBegin(cStart);
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    NormalizationStorageArray2D target = new
    NormalizationStorageArray2D(arrayOutput);
        
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    
    norm.addInputField(a = new    InputFieldMLDataSet(false,dataset,0));
    norm.addInputField(b = new 
          InputFieldMLDataSet(false,dataset,1));
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    this.dataSetIteratorMap =
      new HashMap<Iterator<MLDataPair>, MLDataFieldHolder>();
   
    if( this.report==null ) {
      this.report = new NullStatusReportable();
    }
  }
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  /**
   * Construct the object, and set the defaults.
   */
  public BasicFile() {
    this.precision = Encog.DEFAULT_PRECISION;
    this.report = new NullStatusReportable();
    this.reportInterval = REPORT_INTERVAL;
    this.produceOutputHeaders = true;
    resetStatus();
  }
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    InputField a;
       
    NormalizationStorageArray1D target = new NormalizationStorageArray1D(arrayOutput);
   
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray1D(false,ARRAY_1D));
    norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
    return norm;
  }
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    InputField a,b;
       
    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
   
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
    norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
    norm.addOutputField(new OutputFieldRangeMapped(a,0.1,0.9));
    norm.addOutputField(new OutputFieldRangeMapped(b,0.1,0.9));
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    InputField c;
       
    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
    MultiplicativeGroup group = new MultiplicativeGroup();
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,SAMPLE1,0));
    norm.addInputField(b = new InputFieldArray2D(false,SAMPLE1,1));
    norm.addInputField(c = new InputFieldArray2D(false,SAMPLE1,2));
    norm.addOutputField(new OutputFieldMultiplicative(group,a));
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    NormalizationStorageArray2D target = new NormalizationStorageArray2D(arrayOutput);
    OutputFieldEncode a1;
    OutputFieldEncode b1;
   
    DataNormalization norm = new DataNormalization();
    norm.setReport(new NullStatusReportable());
    norm.setTarget(target);
    norm.addInputField(a = new InputFieldArray2D(false,ARRAY_2D,0));
    norm.addInputField(b = new InputFieldArray2D(false,ARRAY_2D,1));
    norm.addOutputField(a1 = new OutputFieldEncode(a));
    norm.addOutputField(b1 = new OutputFieldEncode(b));
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Related Classes of org.encog.NullStatusReportable

  • com.narirelays.ems.neuralnetwork.TemporalPredictionHelper
  • org.encog.app.analyst.csv.basic.BasicFile
  • org.encog.ml.data.buffer.MemoryDataLoader
  • org.encog.ml.factory.train.SVMSearchFactory
  • org.encog.util.normalize.DataNormalization
  • org.encog.util.normalize.TestMapped
  • org.encog.util.normalize.TestMultiplicative
  • org.encog.util.normalize.TestNormArray
  • org.encog.util.normalize.TestNormCSV
  • org.encog.util.normalize.TestNormDataSet
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