2011/12/4 Denis Kochedykov <[email protected]>: > Hi Olivier, > > Thanks for comments! > > So, summarizing, sklearn versus Orange is: > - use plain arrays instead of classes for storing data-sets, features, etc > - use BSD rather than GPL license > - no framework, plain library of methods > > If I got it right, seems like creating sklearn was not a question of > Orange quality/usability, but more a question of another development > style/community. > That is, for users who're not going to sell their software (which is not > permitted by GPL)
You are allowed to sell a GPL software (albeit it does not make much sense since user should be able to build it from source for free) but you are not allowed to embed it in a non-GPL compatible product (e.g. proprietary for instance). > , there is not much difference? I don't really know Orange but I think it's indeed pretty similar in scope to what sklearn provides if you ignore the aforementioned 3 points. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity, and more. Splunk takes this data and makes sense of it. IT sense. And common sense. http://p.sf.net/sfu/splunk-novd2d _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
