Is it possible to compile just _criterion.pyx and _criterion.pxd files by using "importpyx" or any alternative way instead of compiling the whole sklearn library every time I introduce a change?
Dne 15. 2. 2018 19:29 napsal uživatel "Guillaume Lemaitre" < g.lemaitr...@gmail.com>: Yes you are right pxd are the header and pyx the definition. You need to write a class as MSE. Criterion is an abstract class or base class (I don't have it under the eye) @Andy: if I recall the PR, we made the classes public to enable such custom criterion. However, it is not documented since we were not officially supporting it. So this is an hidden feature. We could always discuss to make this feature more visible and document it. Guillaume Lemaitre INRIA Saclay Ile-de-France / Equipe PARIETAL guillaume.lemai...@inria.fr - https://glemaitre.github.io/ *From: *Thomas Evangelidis *Sent: *Thursday, 15 February 2018 19:15 *To: *Scikit-learn mailing list *Reply To: *Scikit-learn mailing list *Subject: *Re: [scikit-learn] custom loss function in RandomForestRegressor Sorry I don't know Cython at all. _criterion.pxd is like the header file in C++? I see that it contains class, function and variable definitions and their description in comments. class Criterion is an Interface, doesn't have function definitions. By "writing your own criterion with a given loss" you mean writing a class like MSE(RegressionCriterion)? On 15 February 2018 at 18:50, Guillaume Lemaître <g.lemaitr...@gmail.com> wrote: > The ClassificationCriterion and RegressionCriterion are now exposed in the > _criterion.pxd. It will allow you to create your own criterion. > So you can write your own Criterion with a given loss by implementing the > methods which are required in the trees. > Then you can pass an instance of this criterion to the tree and it should > work. > > > > > > -- > Guillaume Lemaitre > INRIA Saclay - Parietal team > Center for Data Science Paris-Saclay > https://glemaitre.github.io/ > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- ====================================================================== Dr Thomas Evangelidis Post-doctoral Researcher CEITEC - Central European Institute of Technology Masaryk University Kamenice 5/A35/2S049, 62500 Brno, Czech Republic email: tev...@pharm.uoa.gr teva...@gmail.com website: https://sites.google.com/site/thomasevangelidishomepage/ _______________________________________________ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
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