[scikit-learn] help
Dear Sir/Madam, I have stumbled upon a problem while trying to run some old code using skcikit-learn: scores = cross_validation.cross_val_score(model, X, Y, cv = 10, score_func = metrics.mean_squared_error) This line will not run in a program I downloaded, and as I am not yet very familliar with scikit-learn I do not know how I should replace "score_func = metrics.mean_squared_error" to produce the same result as intended by the ones who made the program. Any help is greatly appreciated. Best regards, Alexandra Log ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
Re: [scikit-learn] help
Hey Alexandra, Can you maybe share the error output? gr, Prokopis On Thu, Jun 14, 2018 at 5:20 PM Alexandra Metallinou Log < alexandra@sintef.no> wrote: > Dear Sir/Madam, > > > I have stumbled upon a problem while trying to run some old code using > skcikit-learn: > > > scores = cross_validation.cross_val_score(model, X, Y, cv = 10, score_func > = metrics.mean_squared_error) > > > This line will not run in a program I downloaded, and as I am not yet very > familliar with scikit-learn I do not know how I should replace "score_func > = metrics.mean_squared_error" to produce the same result as intended by the > ones who made the program. Any help is greatly appreciated. > > > Best regards, > > > Alexandra Log > > ___ > 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
Re: [scikit-learn] help
Hey Alexandra . Could you please post a minimal, complete, and verifiable example? Apart from this could you post the exact error message? Best, Chris On Thu, Jun 14, 2018 at 1:44 PM, Alexandra Metallinou Log < alexandra@sintef.no> wrote: > Dear Sir/Madam, > > > I have stumbled upon a problem while trying to run some old code using > skcikit-learn: > > > scores = cross_validation.cross_val_score(model, X, Y, cv = 10, > score_func = metrics.mean_squared_error) > > > This line will not run in a program I downloaded, and as I am not yet very > familliar with scikit-learn I do not know how I should replace "score_func > = metrics.mean_squared_error" to produce the same result as intended by the > ones who made the program. Any help is greatly appreciated. > > > Best regards, > > > Alexandra Log > > > ___ > 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
Re: [scikit-learn] help
model_evaluation.cross_val_score(model, X, y, scoring='neg_mse') will produce the same, but negated so that greater is better. ___ scikit-learn mailing list scikit-learn@python.org https://mail.python.org/mailman/listinfo/scikit-learn
