org.apache.spark.mllib.linalg

SingularValueDecomposition

case class SingularValueDecomposition[UType, VType](U: UType, s: Vector, V: VType) extends Product with Serializable

:: Experimental :: Represents singular value decomposition (SVD) factors.

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@Since( "1.0.0" ) @Experimental()
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Serializable, Serializable, Product, Equals, AnyRef, Any
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Instance Constructors

  1. new SingularValueDecomposition(U: UType, s: Vector, V: VType)

Value Members

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

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

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    Any
  3. final def ##(): Int

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

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

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  6. val U: UType

  7. val V: VType

  8. final def asInstanceOf[T0]: T0

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  9. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  10. final def eq(arg0: AnyRef): Boolean

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  11. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  12. final def getClass(): Class[_]

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  13. final def isInstanceOf[T0]: Boolean

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

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  15. final def notify(): Unit

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

    Definition Classes
    AnyRef
  17. val s: Vector

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

    Definition Classes
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  19. final def wait(): Unit

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    @throws( ... )
  20. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )
  21. final def wait(arg0: Long): Unit

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