git commit: Use numpy directly for matrix multiply.

Repository: spark Updated Branches: refs/heads/branch-1.0 35aa2448a -> 010040fd0 Use numpy directly for matrix multiply. Using matrix multiply to compute XtX and XtY yields a 5-20x speedup depending on problem size. For example - the following takes 19s locally after this change vs. 5m21s b

git commit: Use numpy directly for matrix multiply.

Repository: spark Updated Branches: refs/heads/master 108c4c16c -> 6ed7e2cd0 Use numpy directly for matrix multiply. Using matrix multiply to compute XtX and XtY yields a 5-20x speedup depending on problem size. For example - the following takes 19s locally after this change vs. 5m21s befor