Interface Dataset<D,T>

Type Parameters:
D - the data type.
T - the target type.
All Superinterfaces:
Iterable<SampleInstance<D,T>>
All Known Implementing Classes:
BinarySparseDataset, BinarySparseSequenceDataset, SimpleDataset, SparseDataset
public interface Dataset<D,T> extends Iterable<SampleInstance<D,T>>
An immutable collection of data objects.

  • Method Summary

    Modifier and Type
    Method
    Description
    default SampleInstance<D,T>
    apply(int i)
    Returns the index at the specified index.
    default Iterator<List<SampleInstance<D,T>>>
    batch(int size)
    Returns an iterator of mini-batches.
    SampleInstance<D,T>
    get(int i)
    Returns the instance at the specified index.
    default boolean
    isEmpty()
    Returns true if the dataset is empty.
    static <D> Dataset<D,Double>
    of(D[] data, double[] target)
    Returns a default implementation of Dataset from a collection.
    static <D> Dataset<D,Float>
    of(D[] data, float[] target)
    Returns a default implementation of Dataset from a collection.
    static <D> Dataset<D,Integer>
    of(D[] data, int[] target)
    Returns a default implementation of Dataset from a collection.
    static <D,T> Dataset<D,T>
    of(D[] data, T[] target)
    Returns a default implementation of Dataset from a collection.
    static <D,T> Dataset<D,T>
    of(Collection<SampleInstance<D,T>> instances)
    Returns a default implementation of Dataset from a collection.
    static <D,T> Dataset<D,T>
    of(List<D> data, List<T> target)
    Returns a default implementation of Dataset from a collection.
    int
    size()
    Returns the number of elements in this collection.
    Stream<SampleInstance<D,T>>
    stream()
    Returns a (possibly parallel) Stream with this collection as its source.
    default List<SampleInstance<D,T>>
    toList()
    Returns the List of data items.
    default String
    toString(int numRows)
    Returns the string representation of the dataset.

    Methods inherited from interface Iterable

    forEach, iterator, spliterator

  • Method Details

    • size

      int size()
      Returns the number of elements in this collection.
      Returns:
      the number of elements in this collection.

    • isEmpty

      default boolean isEmpty()
      Returns true if the dataset is empty.
      Returns:
      true if the dataset is empty.

    • get

      SampleInstance<D,T> get(int i)
      Returns the instance at the specified index.
      Parameters:
      i - the index of the instance to be returned.
      Returns:
      the i-th instance.

    • apply

      default SampleInstance<D,T> apply(int i)
      Returns the index at the specified index. For Scala's convenience.
      Parameters:
      i - the index of the instance to be returned.
      Returns:
      the i-th instance.

    • stream

      Stream<SampleInstance<D,T>> stream()
      Returns a (possibly parallel) Stream with this collection as its source.
      Returns:
      a (possibly parallel) Stream with this collection as its source.

    • batch

      default Iterator<List<SampleInstance<D,T>>> batch(int size)
      Returns an iterator of mini-batches.
      Parameters:
      size - the batch size.
      Returns:
      an iterator of mini-batches.

    • toList

      default List<SampleInstance<D,T>> toList()
      Returns the List of data items.
      Returns:
      the List of data items.

    • toString

      default String toString(int numRows)
      Returns the string representation of the dataset.
      Parameters:
      numRows - the number of rows to show.
      Returns:
      the string representation of the dataset.

    • of

      static <D,T> Dataset<D,T> of(Collection<SampleInstance<D,T>> instances)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      T - the target type.
      Parameters:
      instances - the sample instances.
      Returns:
      the dataset.

    • of

      static <D,T> Dataset<D,T> of(List<D> data, List<T> target)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      T - the target type.
      Parameters:
      data - the sample data.
      target - the sample targets.
      Returns:
      the dataset.

    • of

      static <D,T> Dataset<D,T> of(D[] data, T[] target)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      T - the target type.
      Parameters:
      data - the sample data.
      target - the sample targets.
      Returns:
      the dataset.

    • of

      static <D> Dataset<D,Integer> of(D[] data, int[] target)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      Parameters:
      data - the sample data.
      target - the sample targets.
      Returns:
      the dataset.

    • of

      static <D> Dataset<D,Float> of(D[] data, float[] target)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      Parameters:
      data - the sample data.
      target - the sample targets.
      Returns:
      the dataset.

    • of

      static <D> Dataset<D,Double> of(D[] data, double[] target)
      Returns a default implementation of Dataset from a collection.
      Type Parameters:
      D - the data type.
      Parameters:
      data - the sample data.
      target - the sample targets.
      Returns:
      the dataset.