Hello Antonio, Sure:
import sklearn print(sklearn.__version__) 0.18.1 The error suggests that the fit function is expecting a split vector with size 2/3*1000 but the whole vector (size 1000) is passed. ... ValueError: Found a sample_weight array with shape (1000,) for an input with shape (666, 1). sample_weight cannot be broadcast. El 22 jun. 2017 11:49 p. m., "Julio Antonio Soto de Vicente" <ju...@esbet.es> escribió: Hi Manuel, Are you sure that you are using the latest version (or at least >0.17)? The code for splitting the sample weights in GridSearchCV has been there for a while now... -- Julio El 22 jun 2017, a las 23:33, Manuel Castejón Limas < manuel.caste...@gmail.com> escribió: Dear all, I posted the full question on StackOverflow and as it contains some figures I refer you to that post. https://stackoverflow.com/questions/44661926/sample-weight- parameter-shape-error-in-scikit-learn-gridsearchcv/44662285#44662285 I currently believe that this issue is a bug and I opened an issue on GitHub. To sum up, the issue is that GridSearchCV does not handle the splitting of the sample_weight vector during cross validation. Nota bene: cross_val_score seems to handle the splitting OK, this issue seems to occurr only in GridSearchCV. Any comments enlightening me and showing me how wrong I am are most welcome. _______________________________________________ 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
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