OK, after fidgeting with NetBeans for too long without results, I went
with Phil's suggestion and just used subversion at the command prompt.
It was much easier than trying to configure NetBeans.
I uploaded the patch this evening. It includes two new classes
StorelessCovariance.java and StorelessCovarianceMatrix.java. I also
included a new test class StorelessCovarianceTest.java.
Interestingly, the one-pass algorithm is slightly less accurate than the
two-pass algorithm. I had to reduce the tolerance from 10E-9 to 10E-7 in
order for tests to pass with the Longley data. The tolerance was not
changed for the Swiss data. It remained 10E-13 for the Swiss data.
The one-pass algorithm is described in a paper by Pebay (2008)
http://prod.sandia.gov/techlib/access-control.cgi/2008/086212.pdf
Thanks for everyone's help.
Patrick
On 8/17/2011 12:13 PM, Patrick wrote:
I am workin on the StorelessCovariance per jira MATH-449. However, I'm
having a hard time using subversion via Netbeans. I have successfully
created the new classes and a JUnit test. However, when I run the test
I get the following message,
"caused an ERORR: Absent Code attribute in method that is not native
or abstract in class file org/apache/commons/math/TestUtils"
Any help would be appreciated. I have a lot to contribute to commons
math but my lack of experience with subversion is really hindering me.
Thanks,
Patrick
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