On Thu, Jun 9, 2016 at 1:54 AM, Gilles <gil...@harfang.homelinux.org> wrote:
> I guess someone need to prioritize them according to they importance for > >> release. >> > > Importance is relative... :-} > Indeed it's very objective function, however someone has to decide where to focus. > IMO, it is important to not release unsupported code. > So the priority would be higher for issues that would be included > in the release of the new Commons components. > Hence the need to figure out what these components will be. > Not clear whenever you really mean by not releasing unsupported code is to exclude already existing parts which doesn't anyone who will be capable to maintain the functionality and solve possible bugs? > >>> Which ones? >>> >>> I will look into JIRA and provide the issue numbers, and of course I >> can cover and assist with ML part and particular clustering. >> > > Thanks. > You are welcome :) So I looked through some of the open issues and I have a couple of questions them: 1. Which affected version do I really need to consider as an important to be released in the next version? 2. I've looked into affected versions: 3.5, 3.6, 3.6.1, 3.7 and 4.0. Overall found something like ~25 open bugs/issues. What about issues opened for lower releases? For example while I'm looking into MATH-1329 <https://issues.apache.org/jira/browse/MATH-1329>, it sounds not really hard to have it fixed, but looking on it not sure whenever it was accepted and approved as something that need to be done. Next MATH-1315 <https://issues.apache.org/jira/browse/MATH-1315> seems like reported has provided the patch and the only thing missing is unit test, will addition of unit tests help to make that one resolved? MATH-1284 <https://issues.apache.org/jira/browse/MATH-1284> here is not clear what is the final decision, according to comments look like it can be resolved. Here MATH-1262 <https://issues.apache.org/jira/browse/MATH-1262> according to the comments editing current javadoc to explain the limitation should also rest this case, am I missing something? I think I can help to handle MATH-1281 <https://issues.apache.org/jira/browse/MATH-1281>, right after I will finish the refactoring and optimizations for kmeans clustering. Listed issues/tickets where I can help to provide support or fix, most likely missed something but can start with these. > with additional functionality, since I think I can provide my code for >> several classification >> algorithms. >> > > That sounds nice. > Which algorithms? > > Naive Bayes, kNN, Decision Trees, Random Forest. I guess adding these into the project will require serious redesign of ML package.
