Hi everyone,
I have some precomputed kernel matrices and want to use them in a mkl-setup. That means there are no features (or I don't want to use them). I create a combined kernel and append these matrices. Then set the kernels for the mklClassifier. Then I want to use cross-validation splitting_strategy=StratifiedCrossValidationSplitting(labels, 5) evaluation_criterium=ContingencyTableEvaluation(ACCURACY) cross_validation=CrossValidation(mkl, labels, splitting_strategy, evaluation_criterium) This works so far. But when I now want to get the result result=cross_validation.evaluate() Then I get this error SystemError: [ERROR] In file /shogun-4.0.0/src/shogun/evaluation/CrossValidation.cpp line 76: CrossValidation::evaluate() is only possible if features are attached So cross validation is not possible without features? I hope you can help me. Best regards, Tobias
