I'm trying to compute the eigendecomposition of a matrix in a portion of my
code, using mllib.linalg.EigenValueDecomposition
(https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/mllib/linalg/EigenValueDecomposition.scala
)
as follows:
val tol = 1e-10
val maxIter = 300
var testmat = DenseMatrix.ones(50,50).toBreeze.asInstanceOf[BDM[Double]]
testmat *= testmat.t
def covOperator(v : BDV[Double]) :BDV[Double] = { testmat*v }
val (lambda2, u2) = EigenValueDecomposition.symmetricEigs(covOperator, 50,
rank, tol, maxIter)
The code compiles, but fails when I spark-submit the jar, with a
java.lang.NoClassDefFoundError: breeze/linalg/DenseMatrix
error at the line where I call EigenValueDecomposition
Any ideas what the issue might be? I use breeze.linalg.DenseMatrix as BDM
elsewhere in the code and had no runtime issues until I inserted the call to
EigenValueDecomposition.
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