ImageSet

abstract def isDistributed(): Boolean

whether this is a DistributedImageSet

abstract def isLocal(): Boolean

whether this is a LocalImageSet

abstract val labelMap: Option[Map[String, Int]]

abstract def toDataSet[T]()(implicit arg0: ClassTag[T]): DataSet[Sample[T]]

Convert ImageSet to DataSet of Sample.

abstract def toImageFrame(): ImageFrame

Convert ImageFrame to ImageSet

abstract def transform(transformer: Preprocessing[ImageFeature, ImageFeature]): ImageSet

transform ImageSet

final def !=(arg0: Any): Boolean

final def ##(): Int

def ->(transformer: Preprocessing[ImageFeature, ImageFeature]): ImageSet

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def finalize(): Unit

final def getClass(): Class[_]

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

final def synchronized[T0](arg0: ⇒ T0): T0

def toDistributed(): DistributedImageSet

return DistributedImageSet

def toLocal(): LocalImageSet

return LocalImageSet

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit