Class

ml.combust.mleap.tensor

SparseTensor

Related Doc: package tensor

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case class SparseTensor[T](indices: Seq[Seq[Int]], values: Array[T], dimensions: Seq[Int])(implicit base: ClassTag[T]) extends Tensor[T] with Product with Serializable

Linear Supertypes
Serializable, Serializable, Product, Equals, Tensor[T], AnyRef, Any
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Inherited
  1. SparseTensor
  2. Serializable
  3. Serializable
  4. Product
  5. Equals
  6. Tensor
  7. AnyRef
  8. Any
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Visibility
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Instance Constructors

  1. new SparseTensor(indices: Seq[Seq[Int]], values: Array[T], dimensions: Seq[Int])(implicit base: ClassTag[T])

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Value Members

  1. final def !=(arg0: Any): Boolean

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

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

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    Definition Classes
    AnyRef → Any
  4. def apply(indices: Int*): T

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    Definition Classes
    Tensor
  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  6. implicit val base: ClassTag[T]

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    Definition Classes
    SparseTensorTensor
  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. val dimensions: Seq[Int]

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    Definition Classes
    SparseTensorTensor
  9. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  10. def equals(obj: Any): Boolean

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    Definition Classes
    SparseTensor → Equals → AnyRef → Any
  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  12. def get(is: Int*): Option[T]

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    Definition Classes
    SparseTensorTensor
  13. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  14. val indices: Seq[Seq[Int]]

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  15. def isDense: Boolean

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    Definition Classes
    Tensor
  16. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  17. def isSparse: Boolean

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    Definition Classes
    SparseTensorTensor
  18. def mapValues[T2](f: (T) ⇒ T2)(implicit arg0: ClassTag[T2]): Tensor[T2]

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    Definition Classes
    SparseTensorTensor
  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  20. final def notify(): Unit

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    Definition Classes
    AnyRef
  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  22. def rawSize: Int

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    Definition Classes
    Tensor
  23. def rawValues: Array[T]

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    Definition Classes
    SparseTensorTensor
  24. def rawValuesIterator: Iterator[T]

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    Definition Classes
    SparseTensorTensor
  25. def size: Int

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    Definition Classes
    Tensor
  26. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  27. def toArray: Array[T]

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    Definition Classes
    SparseTensorTensor
  28. def toDense: DenseTensor[T]

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    Definition Classes
    SparseTensorTensor
  29. val values: Array[T]

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  30. final def wait(): Unit

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

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from Tensor[T]

Inherited from AnyRef

Inherited from Any

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