Examples of assignInputNormalizer()

Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    }
   
    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
    return result;
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
    return result;
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    }
   
    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new IndexedNormalizer());
    result.assignOutputNormalizer(ColumnType.ordinal,new OneOfNNormalizer(0,1));
    return result;
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Examples of org.encog.ml.data.versatile.normalizers.strategies.BasicNormalizationStrategy.assignInputNormalizer()

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   * {@inheritDoc}
   */
  @Override
  public NormalizationStrategy suggestNormalizationStrategy(VersatileMLDataSet dataset, String architecture) {
    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));
   
    result.assignOutputNormalizer(ColumnType.continuous,new RangeNormalizer(0,1));
    result.assignOutputNormalizer(ColumnType.nominal,new OneOfNNormalizer(0,1));
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