TensorSample

Value Members

final def !=(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def ##(): Int

Definition Classes
AnyRef → Any
final def ==(arg0: Any): Boolean

Definition Classes
AnyRef → Any
final def asInstanceOf[T0]: T0

Definition Classes
Any
def clone(): TensorSample.this.type

returns
A deep clone

Definition Classes
Sample → AnyRef
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def feature(index: Int)(implicit ev: TensorNumeric[T]): Tensor[T]

Get feature tensor for given index
Get feature tensor for given index
index
index of specific sample

Definition Classes
TensorSample → Sample
def feature()(implicit ev: TensorNumeric[T]): Tensor[T]

Get feature tensor, for one feature Sample only.
Get feature tensor, for one feature Sample only. You don't need to override this, because we have add a default implement to throw exception.
returns
feature tensor

Definition Classes
TensorSample → Sample
def featureLength(index: Int): Int

First dimension length of index-th feature.
First dimension length of index-th feature. This function could be used to sort samples in DataSet.

Definition Classes
TensorSample → Sample
val featureSize: Array[Array[Int]]

Attributes
protected
val features: Array[Tensor[T]]

feature tensors
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
def getData(): Array[T]

Get data
Get data
returns
data

Definition Classes
TensorSample → Sample
def getFeatureSize(): Array[Array[Int]]

Get feature sizes
Get feature sizes
returns
feature sizes

Definition Classes
TensorSample → Sample
def getLabelSize(): Array[Array[Int]]

Get label sizes
Get label sizes
returns
label sizes

Definition Classes
TensorSample → Sample
def hashCode(): Int

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

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

Get label tensor for given index
Get label tensor for given index
index
index of specific sample

Definition Classes
TensorSample → Sample
def label()(implicit ev: TensorNumeric[T]): Tensor[T]

Get label tensor, for one label Sample only.
Get label tensor, for one label Sample only. You don't need to override this, because we have add a default implement to throw exception.
returns
label tensor

Definition Classes
TensorSample → Sample
def labelLength(index: Int): Int

First dimension length of index-th label.
First dimension length of index-th label. This function could be used to find the longest label.

Definition Classes
TensorSample → Sample
val labelSize: Array[Array[Int]]

Attributes
protected
val labels: Array[Tensor[T]]

label tensors
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
def numFeature(): Int

Number of tensors in feature
Number of tensors in feature
returns
number of tensors in feature

Definition Classes
TensorSample → Sample
def numLabel(): Int

Number of tensors in label
Number of tensors in label
returns
number of tensors in label

Definition Classes
TensorSample → Sample
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def toString(): String

Definition Classes
AnyRef → Any
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long, arg1: Int): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )
final def wait(arg0: Long): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Deprecated Value Members

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.
Set data of feature and label.

Definition Classes
Sample
Annotations
@deprecated
Deprecated
(Since version 0.2.0) Old interface

Related Docs: object TensorSample | package dataset

class TensorSample[T] extends Sample[T]

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def clone(): TensorSample.this.type

final def eq(arg0: AnyRef): Boolean

def equals(arg0: Any): Boolean

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

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

def featureLength(index: Int): Int

val featureSize: Array[Array[Int]]

val features: Array[Tensor[T]]

def finalize(): Unit

final def getClass(): Class[_]

def getData(): Array[T]

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

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

def hashCode(): Int

final def isInstanceOf[T0]: Boolean

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

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

def labelLength(index: Int): Int

val labelSize: Array[Array[Int]]

val labels: Array[Tensor[T]]

final def ne(arg0: AnyRef): Boolean

final def notify(): Unit

final def notifyAll(): Unit

def numFeature(): Int

def numLabel(): Int

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

Deprecated Value Members

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

Inherited from Sample[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped