Value Members

1.  final def !=(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

2.  final def ##(): Int

   Definition Classes

   AnyRef → Any

3.  final def ==(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

4.  def array[T](localData: Array[T], sc: SparkContext)(implicit arg0: ClassTag[T]): DistributedDataSet[T]

   Wrap an array as a distributed DataSet.

5.  def array[T](data: Array[T]): LocalArrayDataSet[T]

   Wrap an array as a DataSet.

6.  final def asInstanceOf[T0]: T0

   Definition Classes

   Any

7.  def clone(): AnyRef

   Attributes

   protected[java.lang]

   Definition Classes

   AnyRef

   Annotations

   @native() @throws( ... )

8.  final def eq(arg0: AnyRef): Boolean

   Definition Classes

   AnyRef

9.  def equals(arg0: Any): Boolean

   Definition Classes

   AnyRef → Any

10.  def finalize(): Unit

    Attributes

    protected[java.lang]

    Definition Classes

    AnyRef

    Annotations

    @throws( classOf[java.lang.Throwable] )

11.  final def getClass(): Class[_]

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

12.  def hashCode(): Int

    Definition Classes

    AnyRef → Any

    Annotations

    @native()

13.  def imageFrame(imageFrame: ImageFrame): DataSet[ImageFeature]
14.  final def isInstanceOf[T0]: Boolean

    Definition Classes

    Any

15.  val logger: Logger
16.  final def ne(arg0: AnyRef): Boolean

    Definition Classes

    AnyRef

17.  final def notify(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

18.  final def notifyAll(): Unit

    Definition Classes

    AnyRef

    Annotations

    @native()

19.  def rdd[T](data: RDD[T], partitionNum: Int = Engine.nodeNumber())(implicit arg0: ClassTag[T]): DistributedDataSet[T]

    Wrap a RDD as a DataSet.

    Wrap a RDD as a DataSet.

    partitionNum

    repartition data rdd to partition number, default node number.

20.  def sortData[T](data: Array[T], isInOrder: Boolean)(implicit arg0: ClassTag[T]): Array[T]

    sort data from small to big, only support Sample data type.

    sort data from small to big, only support Sample data type.

    data

    original data

    isInOrder

    whether to sort data by ascending order

21.  final def synchronized[T0](arg0: ⇒ T0): T0

    Definition Classes

    AnyRef

22.  def toString(): String

    Definition Classes

    AnyRef → Any

23.  final def wait(): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

24.  final def wait(arg0: Long, arg1: Int): Unit

    Definition Classes

    AnyRef

    Annotations

    @throws( ... )

25.  final def wait(arg0: Long): Unit

    Definition Classes

    AnyRef

    Annotations

    @native() @throws( ... )

26.  object ImageFolder

    Generate a DataSet from a local image folder.

    Generate a DataSet from a local image folder. The image folder should have two levels. The first level is class folders, and the second level is images. All images belong to a same class should be put into the same class folder. So each image in the path is labeled by the folder it belongs.

27.  object SeqFileFolder

    Create a DataSet from a Hadoop sequence file folder.