You can try LinearRegression with sparse input. It converges the least squares solution if the linear system is over-determined, while the convergence rate depends on the condition number. Applying standard scaling is popular heuristic to reduce the condition number.
If you are interested in sparse direct methods as in SuiteSparse. I'm not aware of any effort to do so. -Xiangrui --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
