[scikit-learn] Compiled trees

[Maciek Wójcikowski]

Can you please copy whole error message? There seams to be a problem with
compiling the tree. Do you have gcc or other C compiler under CXX shell
variable?

----
Pozdrawiam,  |  Best regards,
Maciek Wójcikowski
maciek at wojcikowski.pl

2016-08-12 8:37 GMT+02:00 Ali Zude <zude07 at yahoo.com>:

> sklearn-compiledtrees==1.3
>
>
> ------------------------------
> *Von:* Maciek Wójcikowski <maciek at wojcikowski.pl>
> *An:* Ali Zude <zude07 at yahoo.com>; Scikit-learn user and developer
> mailing list <scikit-learn at python.org>
> *Gesendet:* 7:30 Freitag, 12.August 2016
> *Betreff:* Re: [scikit-learn] Compiled trees
>
> Which version of compiledtrees are you using?
>
> ----
> Pozdrawiam,  |  Best regards,
> Maciek Wójcikowski
> maciek at wojcikowski.pl
>
> 2016-08-11 23:39 GMT+02:00 Ali Zude via scikit-learn <
> scikit-learn at python.org>:
>
> Dear All,
>
> I am trying to speed up the prediction of Random Forests. I've used
> compiledtress, which was useful, but since I have 6 models and once I've
> loaded all of them I got "Multiprocessing exception:"
>
> here is my models in the code:
> ...
> model1=joblib.load('/models/ model1.pkl'')
> model2=joblib.load('/models/ model2.pkl')
> model3=joblib.load('/models/ model3.pkl')
> model4=compiledtrees. CompiledRegressionPredictor(
> joblib.load('/models/model4. pkl'))
> model5=compiledtrees. CompiledRegressionPredictor(
> joblib.load('/models/model4. pkl'))
> model6=compiledtrees. CompiledRegressionPredictor(
> joblib.load('/models/model4. pkl'))
>
> model1=compiledtrees. CompiledRegressionPredictor( model1)
> model2=compiledtrees. CompiledRegressionPredictor( model2)
> model3=compiledtrees. CompiledRegressionPredictor( model3)
> ....
>
> Now I'm trying to use MultiOutputRegressor( RandomForestRegressor()),
> however, I could not find any tool to do model selection, can anyone help
> me either to solve the first problem or the second one
>
> Best regards
>
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