class ArraySample[T] extends Sample[T]

A kind of sample who use only one array

Linear Supertypes
Sample[T], Serializable, Serializable, AnyRef, Any
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Inherited
  1. ArraySample
  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 canEqual(other: Any): Boolean
  6. def clone(): ArraySample.this.type

    returns

    A deep clone

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

    Get data

    Get data

    returns

    data

    Definition Classes
    ArraySample → Sample
  15. def getFeatureSize(): Array[Array[Int]]

    Get feature sizes

    Get feature sizes

    returns

    feature sizes

    Definition Classes
    ArraySample → Sample
  16. def getLabelSize(): Array[Array[Int]]

    Get label sizes

    Get label sizes

    returns

    label sizes

    Definition Classes
    ArraySample → Sample
  17. def hashCode(): Int
    Definition Classes
    ArraySample → AnyRef → Any
  18. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  19. 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
    ArraySample → Sample
  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
    ArraySample → Sample
  21. 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
    ArraySample → Sample
  22. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  23. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  24. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  25. def numFeature(): Int

    Number of tensors in feature

    Number of tensors in feature

    returns

    number of tensors in feature

    Definition Classes
    ArraySample → Sample
  26. def numLabel(): Int

    Number of tensors in label

    Number of tensors in label

    returns

    number of tensors in label

    Definition Classes
    ArraySample → Sample
  27. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  28. def toString(): String
    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  30. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. 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
    ArraySample → 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

Ungrouped