It sounds like your data does not all have the same dimension? that's
a decent guess. Have a look at the assertions in this method.
On Tue, Aug 12, 2014 at 4:44 AM, Ge, Yao (Y.) y...@ford.com wrote:
I am trying to train a KMeans model with sparse vector with Spark 1.0.1.
When I run the
I figured it out. My indices parameters for the sparse vector are messed up. It
is a good learning for me:
When use the Vectors.sparse(int size, int[] indices, double[] values) to
generate a vector, size is the size of the whole vector, not just the size of
the elements with value. The indices
