com.twitter.scalding.mathematics

BlockMatrix

class BlockMatrix[RowT, GroupT, ColT, ValT] extends AnyRef

BlockMatrix is 3 dimensional matrix where the rows are grouped It is useful for when we want to multiply groups of vectors only between themselves. For example, grouping users by countries and calculating products only between users from the same country

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Instance Constructors

  1. new BlockMatrix(mat: Matrix[RowT, GroupT, Map[ColT, ValT]])

Value Members

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

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

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  3. final def ##(): Int

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

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

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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. def dotProd[RowT2](that: BlockMatrix[GroupT, RowT2, ColT, ValT])(implicit prod: MatrixProduct[Matrix[RowT, GroupT, Map[ColT, ValT]], Matrix[GroupT, RowT2, Map[ColT, ValT]], Matrix[RowT, RowT2, Map[ColT, ValT]]], mon: Monoid[ValT]): Matrix[RowT, RowT2, ValT]

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

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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

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  19. def toString(): String

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  20. def transpose: BlockMatrix[GroupT, RowT, ColT, ValT]

  21. final def wait(): Unit

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

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

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  24. def withSizeHint(hint: SizeHint): BlockMatrix[RowT, GroupT, ColT, ValT]

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