NDArrayIter

final def !=(arg0: Any): Boolean

final def ##(): Int

def ++[B >: DataBatch](that: ⇒ GenTraversableOnce[B]): Iterator[B]

def /:[B](z: B)(op: (B, DataBatch) ⇒ B): B

def :\[B](z: B)(op: (DataBatch, B) ⇒ B): B

final def ==(arg0: Any): Boolean

def addString(b: StringBuilder): StringBuilder

def addString(b: StringBuilder, sep: String): StringBuilder

def addString(b: StringBuilder, start: String, sep: String, end: String): StringBuilder

def aggregate[B](z: ⇒ B)(seqop: (B, DataBatch) ⇒ B, combop: (B, B) ⇒ B): B

final def asInstanceOf[T0]: T0

def batchSize: Int

def buffered: BufferedIterator[DataBatch]

def clone(): AnyRef

def collect[B](pf: PartialFunction[DataBatch, B]): Iterator[B]

def collectFirst[B](pf: PartialFunction[DataBatch, B]): Option[B]

def contains(elem: Any): Boolean

def copyToArray[B >: DataBatch](xs: Array[B], start: Int, len: Int): Unit

def copyToArray[B >: DataBatch](xs: Array[B]): Unit

def copyToArray[B >: DataBatch](xs: Array[B], start: Int): Unit

def copyToBuffer[B >: DataBatch](dest: Buffer[B]): Unit

def corresponds[B](that: GenTraversableOnce[B])(p: (DataBatch, B) ⇒ Boolean): Boolean

def count(p: (DataBatch) ⇒ Boolean): Int

def defaultBucketKey: AnyRef

def drop(n: Int): Iterator[DataBatch]

def dropWhile(p: (DataBatch) ⇒ Boolean): Iterator[DataBatch]

def duplicate: (Iterator[DataBatch], Iterator[DataBatch])

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

def exists(p: (DataBatch) ⇒ Boolean): Boolean

def filter(p: (DataBatch) ⇒ Boolean): Iterator[DataBatch]

def filterNot(p: (DataBatch) ⇒ Boolean): Iterator[DataBatch]

def finalize(): Unit

def find(p: (DataBatch) ⇒ Boolean): Option[DataBatch]

def flatMap[B](f: (DataBatch) ⇒ GenTraversableOnce[B]): Iterator[B]

def fold[A1 >: DataBatch](z: A1)(op: (A1, A1) ⇒ A1): A1

def foldLeft[B](z: B)(op: (B, DataBatch) ⇒ B): B

def foldRight[B](z: B)(op: (DataBatch, B) ⇒ B): B

def forall(p: (DataBatch) ⇒ Boolean): Boolean

def foreach[U](f: (DataBatch) ⇒ U): Unit

final def getClass(): Class[_]

def getData(): IndexedSeq[NDArray]

get data of current batch

def getIndex(): IndexedSeq[Long]

the index of current batch

def getLabel(): IndexedSeq[NDArray]

Get label of current batch

def getPad(): MXUint

get the number of padding examples in current batch

def grouped[B >: DataBatch](size: Int): GroupedIterator[B]

def hardReset(): Unit

Igore roll over data and set to start

def hasDefiniteSize: Boolean

def hasNext: Boolean

def hashCode(): Int

def indexOf[B >: DataBatch](elem: B): Int

def indexWhere(p: (DataBatch) ⇒ Boolean): Int

val initData: IndexedSeq[(DataDesc, NDArray)]

val initLabel: IndexedSeq[(DataDesc, NDArray)]

def isEmpty: Boolean

final def isInstanceOf[T0]: Boolean

def isTraversableAgain: Boolean

def length: Int

def map[B](f: (DataBatch) ⇒ B): Iterator[B]

def max[B >: DataBatch](implicit cmp: Ordering[B]): DataBatch

def maxBy[B](f: (DataBatch) ⇒ B)(implicit cmp: Ordering[B]): DataBatch

def min[B >: DataBatch](implicit cmp: Ordering[B]): DataBatch

def minBy[B](f: (DataBatch) ⇒ B)(implicit cmp: Ordering[B]): DataBatch

def mkString: String

def mkString(sep: String): String

def mkString(start: String, sep: String, end: String): String

final def ne(arg0: AnyRef): Boolean

def next(): DataBatch

get next data batch from iterator

def nonEmpty: Boolean

final def notify(): Unit

final def notifyAll(): Unit

val numData: Int

val numSource: MXUint

def padTo[A1 >: DataBatch](len: Int, elem: A1): Iterator[A1]

def partition(p: (DataBatch) ⇒ Boolean): (Iterator[DataBatch], Iterator[DataBatch])

def patch[B >: DataBatch](from: Int, patchElems: Iterator[B], replaced: Int): Iterator[B]

def product[B >: DataBatch](implicit num: Numeric[B]): B

def provideDataDesc: IndexedSeq[DataDesc]

def provideLabelDesc: IndexedSeq[DataDesc]

def reduce[A1 >: DataBatch](op: (A1, A1) ⇒ A1): A1

def reduceLeft[B >: DataBatch](op: (B, DataBatch) ⇒ B): B

def reduceLeftOption[B >: DataBatch](op: (B, DataBatch) ⇒ B): Option[B]

def reduceOption[A1 >: DataBatch](op: (A1, A1) ⇒ A1): Option[A1]

def reduceRight[B >: DataBatch](op: (DataBatch, B) ⇒ B): B

def reduceRightOption[B >: DataBatch](op: (DataBatch, B) ⇒ B): Option[B]

def reset(): Unit

reset the iterator

def reversed: List[DataBatch]

def sameElements(that: Iterator[_]): Boolean

def scanLeft[B](z: B)(op: (B, DataBatch) ⇒ B): Iterator[B]

def scanRight[B](z: B)(op: (DataBatch, B) ⇒ B): Iterator[B]

def seq: Iterator[DataBatch]

def size: Int

def slice(from: Int, until: Int): Iterator[DataBatch]

def sliding[B >: DataBatch](size: Int, step: Int): GroupedIterator[B]

def span(p: (DataBatch) ⇒ Boolean): (Iterator[DataBatch], Iterator[DataBatch])

def sum[B >: DataBatch](implicit num: Numeric[B]): B

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

def take(n: Int): Iterator[DataBatch]

def takeWhile(p: (DataBatch) ⇒ Boolean): Iterator[DataBatch]

def to[Col[_]](implicit cbf: CanBuildFrom[Nothing, DataBatch, Col[DataBatch]]): Col[DataBatch]

def toArray[B >: DataBatch](implicit arg0: ClassTag[B]): Array[B]

def toBuffer[B >: DataBatch]: Buffer[B]

def toIndexedSeq: IndexedSeq[DataBatch]

def toIterable: Iterable[DataBatch]

def toIterator: Iterator[DataBatch]

def toList: List[DataBatch]

def toMap[T, U](implicit ev: <:<[DataBatch, (T, U)]): Map[T, U]

def toSeq: Seq[DataBatch]

def toSet[B >: DataBatch]: Set[B]

def toStream: Stream[DataBatch]

def toString(): String

def toTraversable: Traversable[DataBatch]

def toVector: Vector[DataBatch]

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def withFilter(p: (DataBatch) ⇒ Boolean): Iterator[DataBatch]

def zip[B](that: Iterator[B]): Iterator[(DataBatch, B)]

def zipAll[B, A1 >: DataBatch, B1 >: B](that: Iterator[B], thisElem: A1, thatElem: B1): Iterator[(A1, B1)]

def zipWithIndex: Iterator[(DataBatch, Int)]

def provideData: ListMap[String, Shape]

def provideLabel: ListMap[String, Shape]