ml.combust.mleap.tensor

SparseTensor

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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Instance Constructors

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

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

  4. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  5. final def ==(arg0: Any): Boolean

    Definition Classes
    Any

  6. def apply(indices: Int*): T

    Definition Classes
    Tensor

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

  8. implicit val base: ClassTag[T]

    Definition Classes
    SparseTensor → Tensor

  9. def clone(): AnyRef

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  10. val dimensions: Seq[Int]

    Definition Classes
    SparseTensor → Tensor

  11. final def eq(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  12. def equals(obj: Any): Boolean

    Definition Classes
    SparseTensor → Equals → AnyRef → Any

  13. def finalize(): Unit

    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  14. def get(is: Int*): Option[T]

    Definition Classes
    SparseTensor → Tensor

  15. final def getClass(): Class[_]

    Definition Classes
    AnyRef → Any

  16. val indices: Seq[Seq[Int]]

  17. def isDense: Boolean

    Definition Classes
    Tensor

  18. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

  19. def isSparse: Boolean

    Definition Classes
    SparseTensor → Tensor

  20. def mapValues[T2](f: (T) ⇒ T2)(implicit arg0: ClassTag[T2]): Tensor[T2]

    Definition Classes
    SparseTensor → Tensor

  21. final def ne(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

  22. final def notify(): Unit

    Definition Classes
    AnyRef

  23. final def notifyAll(): Unit

    Definition Classes
    AnyRef

  24. def rawSize: Int

    Definition Classes
    Tensor

  25. def rawValues: Array[T]

    Definition Classes
    SparseTensor → Tensor

  26. def rawValuesIterator: Iterator[T]

    Definition Classes
    SparseTensor → Tensor

  27. def size: Int

    Definition Classes
    Tensor

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

    Definition Classes
    AnyRef

  29. def toArray: Array[T]

    Definition Classes
    SparseTensor → Tensor

  30. def toDense: DenseTensor[T]

    Definition Classes
    SparseTensor → Tensor

  31. val values: Array[T]

  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
    @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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