Re: [Scikit-learn-general] figuring out the steps needed to achieve a result

I think you've misunderstood this one, Sören. This sounds like it is a structured learning problem, where the steps are the "target" of the learning task, and the result is the input example. Take, for instance, the natural language processing task of dependency parsing. The "result" of some

Re: [Scikit-learn-general] Contributing to scikit-learn

Hi Antoine, Welcome to scikit-learn! Please see if you find this issue interesting to start with - https://github.com/scikit-learn/scikit-learn/issues/6149 Thanks On Sat, Jan 9, 2016 at 6:42 PM, WENDLINGER Antoine < antoinewendlin...@gmail.com> wrote: > Hi everyone, > > Let me introduce

Re: [Scikit-learn-general] figuring out the steps needed to achieve a result

Sounds like a classification problem. You can try to see the steps as features and use classification methods e.g. decision tree to train a model. But it depends on what "reconstruct the steps" and "result" means. Sören On 01/09/2016 06:32 AM, Dominic Laflamme wrote: First I'd like to

Re: [Scikit-learn-general] Dropping Python 2.6 compatibility

On Fri, Jan 8, 2016 at 5:55 AM, Olivier Grisel wrote: > Yet another perspective: > And yet another, in case it helps you make this decision. IPython's official statement on our website reads: IPython supports Python 2.7 and 3.3 or newer. Our older 1.x series supports