Package org.encog.ml.data.versatile.columns

Examples of org.encog.ml.data.versatile.columns.ColumnType


   
    if( outputColumns>1 ) {
      throw new EncogError("SVM does not support multiple output columns.");
    }
   
    ColumnType ct = dataset.getNormHelper().getOutputColumns().get(0).getDataType();
    StringBuilder result = new StringBuilder();
    result.append("?->");
    if( ct==ColumnType.nominal ) {
      result.append("C");
    } else {
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    if( outputColumns>1 ) {
      throw new EncogError("SVM does not support multiple output columns.");
    }
   
    ColumnType ct = dataset.getNormHelper().getOutputColumns().get(0).getDataType();
   
    BasicNormalizationStrategy result = new BasicNormalizationStrategy();
    result.assignInputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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   */
  @Override
  public NormalizationStrategy suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture) {
    int outputColumns = dataset.getNormHelper().getOutputColumns().size();

    ColumnType ct = dataset.getNormHelper().getOutputColumns().get(0).getDataType();
   
    BasicNormalizationStrategy result = new BasicNormalizationStrategy();
    result.assignInputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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    if( outputColumns>1 ) {
      throw new EncogError("PNN does not support multiple output columns.");
    }
   
    ColumnType ct = dataset.getNormHelper().getOutputColumns().get(0).getDataType();
   
    BasicNormalizationStrategy result = new BasicNormalizationStrategy();
    result.assignInputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
    result.assignInputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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