Calling `python setup.py build_ext --inplace` (also `make in`) will only recompile the files which change without recompiling everything. However, it is true that it can lead to some error which require a clean and recompile everything.
On 15 February 2018 at 20:46, Thomas Evangelidis <teva...@gmail.com> wrote: > 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 > > > > _______________________________________________ > scikit-learn mailing list > scikit-learn@python.org > https://mail.python.org/mailman/listinfo/scikit-learn > > -- Guillaume Lemaitre INRIA Saclay - Parietal team Center for Data Science Paris-Saclay https://glemaitre.github.io/
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