Configuration parameters for SVDPlusPlus.
:: Experimental ::
:: Experimental ::
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.
This method temporarily replaces run()
, and replaces DoubleMatrix
in run()
's return
value with Array[Double]
. In 1.4.0, this method will be deprecated, but will be copied
to replace run()
, which will then be undeprecated.
edges for constructing the graph
SVDPlusPlus parameters
a graph with vertex attributes containing the trained model
This method is deprecated in favor of runSVDPlusPlus()
, which replaces DoubleMatrix
with Array[Double]
in its return value.
This method is deprecated in favor of runSVDPlusPlus()
, which replaces DoubleMatrix
with Array[Double]
in its return value. This method is deprecated. It will effectively
be removed in 1.4.0 when runSVDPlusPlus()
is copied to replace run()
, and hence the
return type of this method changes.
(Since version 1.3.0) Call runSVDPlusPlus
Implementation of SVD++ algorithm.