class TensorSample[T] extends Sample[T]

A kind of Sample who hold both DenseTensor and SparseTensor as features.

T

numeric type

Linear Supertypes
Sample[T], Serializable, Serializable, AnyRef, Any
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Inherited
  1. TensorSample
  2. Sample
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
  1. Public
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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. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  5. def clone(): TensorSample.this.type

    returns

    A deep clone

    Definition Classes
    Sample → AnyRef
  6. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  7. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  8. 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
  9. 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
  10. 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
  11. val featureSize: Array[Array[Int]]
    Attributes
    protected
  12. val features: Array[Tensor[T]]
  13. def finalize(): Unit
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  14. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  15. def getData(): Array[T]

    Get data

    Get data

    returns

    data

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

    Get feature sizes

    Get feature sizes

    returns

    feature sizes

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

    Get label sizes

    Get label sizes

    returns

    label sizes

    Definition Classes
    TensorSample → Sample
  18. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  19. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  20. 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
  21. 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
  22. 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
  23. val labelSize: Array[Array[Int]]
    Attributes
    protected
  24. val labels: Array[Tensor[T]]
  25. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  26. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  27. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  28. def numFeature(): Int

    Number of tensors in feature

    Number of tensors in feature

    returns

    number of tensors in feature

    Definition Classes
    TensorSample → Sample
  29. def numLabel(): Int

    Number of tensors in label

    Number of tensors in label

    returns

    number of tensors in label

    Definition Classes
    TensorSample → Sample
  30. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  31. def toString(): String
    Definition Classes
    AnyRef → Any
  32. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  33. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  34. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @native() @throws( ... )

Deprecated Value Members

  1. 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

Inherited from Sample[T]

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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