Examples of MLDataPair

org.encog.ml.data.MLDataPair
Training data is stored in two ways, depending on if the data is for supervised, or unsupervised training. For unsupervised training just an input value is provided, and the ideal output values are null. For supervised training both input and the expected ideal outputs are provided. This interface abstracts classes that provide a holder for both of these two data items. @author jheaton

Examples of org.encog.ml.data.MLDataPair

                              
        int i = 1;
        for(MLCluster cluster: kmeans.getClusters())
        {
          MLDataSet ds = cluster.createDataSet();
            MLDataPair pair = BasicMLDataPair.createPair(ds.getInputSize(), ds.getIdealSize());
            for(int j=0;j<ds.getRecordCount();j++)
            {
              ds.getRecord(j, pair);
              for(j=0;j<pair.getInputArray().length;j++) {
                if(i==1) {
                  Assert.assertTrue(pair.getInputArray()[j]>10);
                } else {
                  Assert.assertTrue(pair.getInputArray()[j]<10);
                }
              }
              
            }

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Examples of org.encog.ml.data.MLDataPair

  public void addRow(final int row) {
    final int idealSize = this.data.getIdealSize();
    final int inputSize = this.data.getInputSize();
    final MLData idealData = new BasicMLData(idealSize);
    final MLData inputData = new BasicMLData(inputSize);
    final MLDataPair pair = new BasicMLDataPair(inputData,
        idealData);
    if (row == -1) {
      this.data.getData().add(pair);
    } else {
      this.data.getData().add(row, pair);

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Examples of org.encog.ml.data.MLDataPair

      // handle predict window
      for (int j = 0; j < this.predictWindow; j++) {
        idealData.setData(j, data[index++]);
      }


      final MLDataPair pair = new BasicMLDataPair(inputData,
          idealData);
      result.add(pair);
    }


    return result;

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Examples of org.encog.ml.data.MLDataPair

   */
  public final double calculateError(final MLDataSet data) {
    final ErrorCalculation errorCalculation = new ErrorCalculation();


    final double[] actual = new double[this.outputCount];
    final MLDataPair pair = BasicMLDataPair.createPair(data.getInputSize(),
        data.getIdealSize());


    for (int i = 0; i < data.getRecordCount(); i++) {
      data.getRecord(i, pair);
      compute(pair.getInputArray(), actual);
      errorCalculation.updateError(actual, pair.getIdealArray(), pair.getSignificance());
    }
    return errorCalculation.calculate();
  }

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Examples of org.encog.ml.data.MLDataPair

  private double getMaxValue(final int index) {
    double result = Double.MIN_VALUE;
    final long count = this.set.getRecordCount();


    for (int i = 0; i < count; i++) {
      final MLDataPair pair = BasicMLDataPair.createPair(
          this.set.getInputSize(), this.set.getIdealSize());
      this.set.getRecord(index, pair);
      result = Math.max(result, pair.getInputArray()[index]);
    }
    return result;
  }

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Examples of org.encog.ml.data.MLDataPair

   * @return The minimum value.
   */
  private double getMinValue(final int index) {
    double result = Double.MAX_VALUE;
    final long count = this.set.getRecordCount();
    final MLDataPair pair = BasicMLDataPair.createPair(
        this.set.getInputSize(), this.set.getIdealSize());


    for (int i = 0; i < count; i++) {
      this.set.getRecord(index, pair);
      result = Math.min(result, pair.getInputArray()[index]);
    }
    return result;
  }

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Examples of org.encog.ml.data.MLDataPair

    // Display the cluster
    int i = 1;
    for (final MLCluster cluster : kmeans.getClusters()) {
      System.out.println("*** Cluster " + (i++) + " ***");
      final MLDataSet ds = cluster.createDataSet();
      final MLDataPair pair = BasicMLDataPair.createPair(
          ds.getInputSize(), ds.getIdealSize());
      for (int j = 0; j < ds.getRecordCount(); j++) {
        ds.getRecord(j, pair);
        System.out.println(Arrays.toString(pair.getInputArray()));


      }
    }
  }

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Examples of org.encog.ml.data.MLDataPair

          double d = csv.getDouble(index++);
          ideal.setData(i, d);
        }
      }


      MLDataPair pair = new BasicMLDataPair(input, ideal);
      result.add(pair);
    }


    return result;
  }

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Examples of org.encog.ml.data.MLDataPair

   * {@inheritDoc}
   */
  @Override
  public final MLDataPair next() {
    if (hasNext()) {
      final MLDataPair pair = BasicMLDataPair.createPair(
          this.owner.getInputSize(), this.owner.getIdealSize());
      this.owner.getRecord(this.currentIndex++, pair);
      return pair;
    } else {
      return null;

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Examples of org.encog.ml.data.MLDataPair


    if (!hasNext()) {
      return null;
    }


    final MLDataPair pair = BasicMLDataPair.createPair(
        this.data.getInputSize(), this.data.getIdealSize());
    this.data.getRecord(this.current++, pair);
    return pair;
  }

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