Olivier Grisel wrote: > A note for the scikit-learn developers: > > => we should definitely improve the tooling for checking the input and > emit informative ValueError messages that state explicitly that > scipy.sparse matrices are not supported as input for the models > mentioned by the poster. >
Would it be worth creating an input-checking utility that would give unified output across scikit-learn? I'm thinking something like utils.check_input(X, array=True, matrix=True, sparse=False) which would let a np array or matrix pass through, but raise an informative error for a sparse format. We could extend this to other types, or even allow dimensionality checks as well. Jake ------------------------------------------------------------------------------ The demand for IT networking professionals continues to grow, and the demand for specialized networking skills is growing even more rapidly. Take a complimentary Learning@Cisco Self-Assessment and learn about Cisco certifications, training, and career opportunities. http://p.sf.net/sfu/cisco-dev2dev _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
