Class

org.apache.spark.mllib.linalg

SingularValueDecomposition

Related Doc: package linalg

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

Represents singular value decomposition (SVD) factors.

Annotations
@Since( "1.0.0" )
Source
SingularValueDecomposition.scala
Linear Supertypes
Serializable, Serializable, Product, Equals, AnyRef, Any
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  1. SingularValueDecomposition
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Instance Constructors

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

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Value Members

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

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    AnyRef → Any

  2. final def ##(): Int

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    AnyRef → Any

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

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  4. val U: UType

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  5. val V: VType

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  6. final def asInstanceOf[T0]: T0

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )

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

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  9. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

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

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  11. final def isInstanceOf[T0]: Boolean

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

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  13. final def notify(): Unit

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  14. final def notifyAll(): Unit

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  15. val s: Vector

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

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  17. final def wait(): Unit

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    @throws( ... )

  18. final def wait(arg0: Long, arg1: Int): Unit

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    @throws( ... )

  19. final def wait(arg0: Long): Unit

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Inherited from Serializable

Inherited from Serializable

Inherited from Product

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Inherited from AnyRef

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