org.apache.mahout.sparkbindings.blas

AtA

Related Doc: package blas

object AtA

Collection of algorithms to compute X' times X

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

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  2. final def ##(): Int

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

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  4. final val PROPERTY_ATA_MAXINMEMNCOL: String("mahout.math.AtA.maxInMemNCol")

  5. final val PROPERTY_ATA_MMUL_BLOCKHEIGHT: String("mahout.math.AtA.blockHeight")

  6. final def asInstanceOf[T0]: T0

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  7. def at_a(operator: OpAtA[_], srcRdd: DrmRddInput[_]): DrmRddInput[Int]

    Materialize A'A operator

  8. def at_a_group(op: OpAtA[_], srcRdd: DrmRdd[_]): DrmRddInput[Int]

  9. def at_a_nongraph(op: OpAtA[_], srcRdd: DrmRdd[_]): DrmRddInput[Int]

    The version of A'A that does not use GraphX

  10. def at_a_nongraph_mmul(op: OpAtA[_], srcRdd: BlockifiedDrmRdd[_]): DrmRddInput[Int]

    The version of A'A that does not use GraphX.

    The version of A'A that does not use GraphX. Tries to use blockwise matrix multiply. If an accelerated matrix back is available, this might be somewhat faster.

  11. def at_a_slim(operator: OpAtA[_], srcRdd: DrmRdd[_]): Matrix

    Computes A' * A for tall but skinny A matrices.

    Computes A' * A for tall but skinny A matrices. Comes up a lot in SSVD and ALS flavors alike.

    returns

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