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
I tried to run the tests in 'GeneralizedLinearRegressionSuite', and all tests
passed except for test("read/write") which yielded the following error message.
Any suggestion on why this happened and how to fix it? Thanks. BTW, I ran the
test in IntelliJ.
The default jsonEncode only supports
Thanks for the advice. I figured out a way to solve this problem by avoiding
the matrix representation.
Wayne
From: Sean Owen <so...@cloudera.com>
Sent: Thursday, December 29, 2016 1:52 PM
To: Yanwei Wayne Zhang; user
Subject: Re: Invert large matrix
I