org.apache.spark.graphx.lib

SVDPlusPlus

object SVDPlusPlus

Implementation of SVD++ algorithm.

Source
SVDPlusPlus.scala
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  1. class Conf extends Serializable

    Configuration parameters for SVDPlusPlus.

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  17. def run(edges: RDD[Edge[Double]], conf: Conf): (Graph[(Array[Double], Array[Double], Double, Double), Double], Double)

    Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf.

    Implement SVD++ based on "Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model", available at http://public.research.att.com/~volinsky/netflix/kdd08koren.pdf.

    The prediction rule is rui = u + bu + bi + qi*(pu + |N(u)|-0.5*sum(y)), see the details on page 6.

    edges

    edges for constructing the graph

    conf

    SVDPlusPlus parameters

    returns

    a graph with vertex attributes containing the trained model

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Deprecated Value Members

  1. def runSVDPlusPlus(edges: RDD[Edge[Double]], conf: Conf): (Graph[(Array[Double], Array[Double], Double, Double), Double], Double)

    This method is now replaced by the updated version of run() and returns exactly the same result.

    This method is now replaced by the updated version of run() and returns exactly the same result.

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    @deprecated
    Deprecated

    (Since version 1.4.0) Call run()

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