It really depends on the type of the computation. For example, if
vertices and edges are associated with properties and you want to
operate on (vertex-edge-vertex) triplets or use the Pregel API, GraphX
is the way to go. -Xiangrui
On Sat, Oct 4, 2014 at 9:39 PM, ll wrote:
> hi. i am working on a
Probably worth noting that the factory methods in mllib create an object of
type org.apache.spark.mllib.linalg.Vector which stores data in a similar format
as Breeze vectors
Chris
On Sep 15, 2014, at 3:24 PM, Xiangrui Meng wrote:
> Or you can use the factory method `Vectors.sparse`:
>
> val
Or you can use the factory method `Vectors.sparse`:
val sv = Vectors.sparse(numProducts, productIds.map(x => (x, 1.0)))
where numProducts should be the largest product id plus one.
Best,
Xiangrui
On Mon, Sep 15, 2014 at 12:46 PM, Chris Gore wrote:
> Hi Sameer,
>
> MLLib uses Breeze’s vector fo
Hi Sameer,
MLLib uses Breeze’s vector format under the hood. You can use that.
http://www.scalanlp.org/api/breeze/index.html#breeze.linalg.SparseVector
For example:
import breeze.linalg.{DenseVector => BDV, SparseVector => BSV, Vector => BV}
val numClasses = classes.distinct.count.toInt
val
