ArraySample

final def !=(arg0: AnyRef): Boolean

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: AnyRef): Boolean

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def canEqual(other: Any): Boolean

def clone(): ArraySample.this.type

final def eq(arg0: AnyRef): Boolean

def equals(other: Any): Boolean

def feature(index: Int)(implicit ev: TensorNumeric[T]): Tensor[T]

Get feature tensor for given index

def feature()(implicit ev: TensorNumeric[T]): Tensor[T]

Get feature tensor, for one feature Sample only.

def featureLength(index: Int): Int

First dimension length of index-th feature.

def finalize(): Unit

final def getClass(): Class[_]

def getData(): Array[T]

Get data

def getFeatureSize(): Array[Array[Int]]

Get feature sizes

def getLabelSize(): Array[Array[Int]]

Get label sizes

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

def label()(implicit ev: TensorNumeric[T]): Tensor[T]

Get label tensor, for one label Sample only.

def label(index: Int)(implicit ev: TensorNumeric[T]): Tensor[T]

Get label tensor for given index

def labelLength(index: Int): Int

First dimension length of index-th label.

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numFeature(): Int

Number of tensors in feature

def numLabel(): Int

Number of tensors in label

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

def toString(): String

final def wait(): Unit

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

final def wait(arg0: Long): Unit

def set(featureData: Array[T], labelData: Array[T], featureSize: Array[Int], labelSize: Array[Int])(implicit ev: TensorNumeric[T]): Sample[T]

Set data of feature and label.