Dear Sebastian, Thank you for your response.
Best, S ............................................. Loukas Serafeim University of Geneva email: seral...@gmail.com 2017-03-07 17:56 GMT+01:00 Sebastian Raschka <se.rasc...@gmail.com>: > Hi, Loukas and Mahesh, > for LOOCV, you could e.g., use the LeaveOneOut class > > ``` > from sklearn.discriminant_analysis import LinearDiscriminantAnalysis > from sklearn.model_selection import LeaveOneOut > > loo = LeaveOneOut() > lda = LinearDiscriminantAnalysis() > > test_fold_predictions = [] > > for train_index, test_index in loo.split(X): > X_train, X_test = X[train_index], X[test_index] > y_train, y_test = y[train_index], y[test_index] > lda.fit(X_train, y_train) > test_fold_predictions.append(lda.predict(X_test)) > ``` > > or you could pass the loo to the cross_val_score function directly: > > ``` > from sklearn.model_selection import cross_val_score > cross_val_score(estimator=lda, X=X, y=y, cv=loo) > ``` > > > Best, > Sebastian > > > > On Mar 7, 2017, at 10:01 AM, Serafeim Loukas <seral...@gmail.com> wrote: > > > > Dear Mahesh, > > > > Thank you for your response. > > > > I read the documentation however I did not find anything related to > cross-validation (leave one out). > > Can you give me a hint? > > > > Thank you, > > S > > > > ............................................. > > Loukas Serafeim > > University of Geneva > > email: seral...@gmail.com > > > > > > 2017-03-07 10:56 GMT+01:00 Mahesh Kulkarni <mahesha...@gmail.com>: > > Yes. Please see following link: > > > > http://scikit-learn.org/stable/modules/generated/ > sklearn.discriminant_analysis.LinearDiscriminantAnalysis.html > > > > On Tue, Mar 7, 2017 at 3:18 PM, Serafeim Loukas <seral...@gmail.com> > wrote: > > Dear scikit members, > > > > > > I would like to ask if there is any function that implements Linear > Discriminant Analysis with Cross Validation (leave one out). > > > > Thank you in advance, > > S > > > > _______________________________________________ > > 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 > > > > > > _______________________________________________ > > 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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