2014/1/19 magellane a <[email protected]>: > Hi > I was interested in the implementation of stacking ensemble meta-estimator > for the scikit-learn project, and as suggested by a previous email on the > mailing list I've gone through the source-code of scikit-learn in general > and the source code of ensemble methods in specific. > I want to start working on it, but I'm not sure of the details of the > process you use in contributing scikit-learn: > shall I first provide an implementation as pull request and then I can > discuss it here, like how to enhance and modify to comply to the standards > of the project ? > Or shall I begin by discussing the various parts of the implementation - on > the mailing list or with maintainers of the project - prior to working on it > ?
Work in a branch, as soon as you have something working (e.g. reproduce some paper results in an example script) with all the tests that pass on your box, don't hesitate to issue a pull request with a [WIP] tag in the title (Work In Progress) to get some early feedback. Please do not forget to follow carefully the instructions from: http://scikit-learn.org/stable/developers/ If you have specific questions you can use the mailing list. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ CenturyLink Cloud: The Leader in Enterprise Cloud Services. Learn Why More Businesses Are Choosing CenturyLink Cloud For Critical Workloads, Development Environments & Everything In Between. Get a Quote or Start a Free Trial Today. http://pubads.g.doubleclick.net/gampad/clk?id=119420431&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
