Jerrad,
Thanks for pointing me to these projects. Unfortunately
Algorithm::CRFhttp://search.cpan.org/~clsung/Algorithm-CRF-0.04/lib/Algorithm/CRF.pm,
was
last updated in 2006. I haven't tested it but it appears to be alpha
quality based on the fact that it has stub documentation. Also it provides
Thanks William,
My biggest concern with Inline::Java is why it isn't more widely known and
used. For data analysis, there are two main choices: Python and the JVM
stack. CPAN is nice but it just doesn't have the data libraries these
platforms do. It would seem like Inline::Java would be
For general data analysis, PDL, Statistics::R or PDL::R::math
seem like more logical choices than the languages you mentioned.
___
Boston-pm mailing list
Boston-pm@mail.pm.org
http://mail.pm.org/mailman/listinfo/boston-pm
On Wed, May 29, 2013 at 01:41:56PM -0400, David Larochelle wrote:
My biggest concern with Inline::Java is why it isn't more widely known and
used.
I would not read too much into the fact that a particular solution is not
popular. I have used, and continue to use, such tools when appropriate.
My suspicion is that it's 2-fold:
1. Java doesn't fit the Perl mold
2. Inline::Java can be tricky to get setup (despite the docs
appearing to make it easy)
On (1), the development philosophies between perl and java tend to be
so different that each side almost writes the other off.
In my
Jerrad,
I haven't used Statistics::R but it's probably worth considering. I suppose
that R also merited mention as a language for data analysis in addition to
Python and Java/JVM.
With regard to PDL, for most tasks you want be be able to easily apply a
known algorithm to your data and not have
William,
Thank you for offering your thoughts and your experiences.
I feel about better about using Inline::Java. My application is large
enough that porting it to another language would be nontrivial.
Inline::Java seem like a better choice than the alternatives such as
calling Java with system,
