No motion. I was pushing that integration because it looked like MTJ was integrating with them. That would give some pretty high performance linear algebra to commons-math.
That hasn't gone anywhere lately as far as I know. The only other integration point is that every time we have needed something like a new sampler or distribution that I implemented, I gave it to math (all twice, that is). Luc has been doing some very nice work on small matrix decompositions lately. As you say, however, the class structure is kinda over-done. The other issue is that we need vectors to be Writables which is not something they are reasonably going to do. My question is whether we could get math's decompositions by implementing their RealVector interface, or by extending one of their vector implements as a Writable. Only the first option seems to have a chance to be easy (guessing). On Wed, Sep 30, 2009 at 6:54 PM, Jake Mannix <[email protected]> wrote: > So what's the status on integration of commons-math-2.0 in Mahout? > > Do we need that stuff? Some of their apis are pretty ugly (look at the > number > of methods you need to implement to qualify to be a "RealVector"), but > piggybacking on some of their functionality would be pretty useful > (especially > stats/regression/distributions as well as the small matrix decomposition > stuff). > > -jake > > > On Fri, Aug 7, 2009 at 10:00 PM, Ted Dunning <[email protected]> > wrote: > > > This is the key step that was pre-requisite to integration of MTJ into > > commons math, and thereby making really good linear algebra available for > > us > > in Mahout. > > > > ---------- Forwarded message ---------- > > From: Phil Steitz <[email protected]> > > Date: Fri, Aug 7, 2009 at 5:08 PM > > Subject: [ANNOUNCEMENT] Apache Commons Math 2.0 Released > > To: [email protected], [email protected], Commons > > Developers List <[email protected]>, Commons Users List < > > [email protected]> > > Cc: [email protected] > > > > > > The Apache Commons team is pleased to announce the release of version 2.0 > > of > > Commons Math. Commons Math is a library of lightweight, self-contained > > mathematics and statistics components addressing the most common problems > > not available in the Java programming language or Commons Lang. > > > > Version 2.0 is a major release, including bug fixes, new features and > > enhancements to existing features. Most notable among the new features > are > > matrix decomposition algorithms, sparse matrices and vectors, genetic > > algorithms, new optimization algorithms, curve fitting algorithms, state > > derivatives in ODE step handlers, new multistep integrators, multiple > > regression, correlation, rank transformations and Mersenne twister pseudo > > random number generator. > > > > This release is NOT source and binary compatible with earlier versions of > > Commons Math. Starting with version 2.0 of the library, the minimal > > version of the Java platform required to compile and use commons-math is > > Java 5. > > Source and binary distributions are available for download from the > Apache > > Commons Math download site: > > http://commons.apache.org/downloads/download_math.cgi > > > > Please verify signatures using the KEYS file available at the above > > location > > when downloading the release. > > > > Maven users please note that the maven repository groupId for Commons > Math > > has changed in version 2.0 to "org.apache.commons." The artifactId > remains > > "commons-math." > > > > For more information on Apache Commons Math, visit the Math home page: > > http://commons.apache.org/math/ > > > > Feedback, suggestions for improvment or bug reports are welcome via the > > "Mailing Lists" and "Issue Tracking" links here: > > http://commons.apache.org/math/project-info.html > > > > Phil Steitz > > - On behalf of the Apache Commons community > > > > > > --------------------------------------------------------------------- > > To unsubscribe, e-mail: [email protected] > > For additional commands, e-mail: [email protected] > > > > > > > > > > -- > > Ted Dunning, CTO > > DeepDyve > > > -- Ted Dunning, CTO DeepDyve
