/** * Convenience method to create a new {@code DefaultPartitionedDataset} * from the two given collections. * * @param <DataType> * The type of the data in the dataset. * @param trainingSet * The training set. * @param testingSet * The testing set. * @return * A new default partitioned dataset with the given training and * testing sets. */ public static <DataType> DefaultPartitionedDataset<DataType> create( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet); } }
/** * Creates a new instance of PartitionedDataset. * * @param trainingSet The training set. * @param testingSet The testing set. */ public DefaultPartitionedDataset( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { super(); this.setTrainingSet(trainingSet); this.setTestingSet(testingSet); }
/** * Creates a new instance of PartitionedDataset. * * @param trainingSet The training set. * @param testingSet The testing set. */ public DefaultPartitionedDataset( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { super(); this.setTrainingSet(trainingSet); this.setTestingSet(testingSet); }
/** * Convenience method to create a new {@code DefaultPartitionedDataset} * from the two given collections. * * @param <DataType> * The type of the data in the dataset. * @param trainingSet * The training set. * @param testingSet * The testing set. * @return * A new default partitioned dataset with the given training and * testing sets. */ public static <DataType> DefaultPartitionedDataset<DataType> create( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet); } }
/** * Creates a new instance of PartitionedDataset. * * @param trainingSet The training set. * @param testingSet The testing set. */ public DefaultPartitionedDataset( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { super(); this.setTrainingSet(trainingSet); this.setTestingSet(testingSet); }
/** * Convenience method to create a new {@code DefaultPartitionedDataset} * from the two given collections. * * @param <DataType> * The type of the data in the dataset. * @param trainingSet * The training set. * @param testingSet * The testing set. * @return * A new default partitioned dataset with the given training and * testing sets. */ public static <DataType> DefaultPartitionedDataset<DataType> create( final Collection<DataType> trainingSet, final Collection<DataType> testingSet) { return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet); } }
Collections.singletonList(dataArray.get(i)); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));
Collections.singletonList(dataArray.get(i)); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));
Collections.singletonList(dataArray.get(i)); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));
return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet);
return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet);
return new DefaultPartitionedDataset<DataType>(trainingSet, testingSet);
reordering.subList(fromIndex, toIndex); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));
reordering.subList(fromIndex, toIndex); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));
reordering.subList(fromIndex, toIndex); datasets.add(new DefaultPartitionedDataset<DataType>(training, testing));