org.apache.mahout.math.decompositions

DSSVD

object DSSVD

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  8. def dssvd[K](drmA: DrmLike[K], k: Int, p: Int = 15, q: Int = 0)(implicit arg0: ClassTag[K]): (DrmLike[K], DrmLike[Int], Vector)

    Distributed Stochastic Singular Value decomposition algorithm.

    Distributed Stochastic Singular Value decomposition algorithm.

    drmA

    input matrix A

    k

    request SSVD rank

    p

    oversampling parameter

    q

    number of power iterations

    returns

    (U,V,s). Note that U, V are non-checkpointed matrices (i.e. one needs to actually use them e.g. save them to hdfs in order to trigger their computation.

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