Package org.encog.ml.data.versatile

Examples of org.encog.ml.data.versatile.MatrixMLDataSet$MatrixMLDataSetIterator

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   * @param idealCount The ideal count.
   */
  private void createDividedDatasets(List<DataDivision> dataDivisionList,
      VersatileMLDataSet parentDataset, int inputCount, int idealCount) {
    for (DataDivision division : dataDivisionList) {
      MatrixMLDataSet dataset = new MatrixMLDataSet(parentDataset.getData(), inputCount,
          idealCount, division.getMask());
      dataset.setLagWindowSize(parentDataset.getLagWindowSize());
      dataset.setLeadWindowSize(parentDataset.getLeadWindowSize());
      division.setDataset(dataset);
    }
  }
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          trainingIndex+=source.length;
        }
       
      }
      // Build the set
      MatrixMLDataSet training = new MatrixMLDataSet(this.baseDataset,trainingMask);
      MatrixMLDataSet validation = new MatrixMLDataSet(this.baseDataset,validationMask);
      this.folds.add(new DataFold(training,validation));
    }
  }
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Related Classes of org.encog.ml.data.versatile.MatrixMLDataSet$MatrixMLDataSetIterator

  • org.encog.EncogError
  • org.encog.ml.data.basic.BasicMLData
  • org.encog.ml.data.basic.BasicMLDataPair
  • org.encog.ml.data.cross.KFoldCrossvalidation
  • org.encog.ml.data.MLDataPair
  • org.encog.ml.data.versatile.division.PerformDataDivision
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