Thanks for the advice. I figured out a way to solve this problem by avoiding the matrix representation.
Wayne
________________________________
From: Sean Owen <sowen@cloudera.com>
Sent: Thursday, December 29, 2016 1:52 PM
To: Yanwei Wayne Zhang; user
Subject: Re: Invert large matrix
I think the best advice is: don't do that. If you're trying to solve a linear system, solve
the linear system without explicitly constructing a matrix inverse. Is that what you mean?
On Thu, Dec 29, 2016 at 2:22 AM Yanwei Wayne Zhang <actuary_zhang@hotmail.com<mailto:actuary_zhang@hotmail.com>>
wrote:
Hi all,
I have a matrix X stored as RDD[SparseVector] that is high dimensional, say 800 million rows
and 2 million columns, and more 95% of the entries are zero.
Is there a way to invert (X'X + eye) efficiently, where X' is the transpose of X and eye is
the identity matrix? I am thinking of using RowMatrix but not sure if it is feasible.
Any suggestion is highly appreciated.
Thanks.
Wayne
