if you could open an issue on GitHub, it would be great because this info would be useful in the docstring.
On Wed, 29 Jan 2020 at 10:58, Guillaume Lemaître <g.lemaitr...@gmail.com> wrote: > Looking at check_array in the SVR and SVC, we convert to CSR format if the > sparse matrices are not from this format: > > https://github.com/scikit-learn/scikit-learn/blob/b194674c4/sklearn/svm/_base.py#L146 > > Basically, this is more efficient because we are going to make operation > which will get row., > > In scikit-learn most predictor expect CSR apart of tree-based where CSC > will be more efficient. CSC is also the format > which is better for the preprocessing estimator (in general). Be aware > that we are going to convert to the appropriate > format if required. > > On Wed, 29 Jan 2020 at 02:54, Peng Yu <pengyu...@gmail.com> wrote: > >> https://scikit-learn.org/stable/modules/svm.html >> >> Of the svm classes mentioned above, which sparse matrixes are >> appropriate to be used with them? >> >> >> https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csr_matrix.html#scipy.sparse.csr_matrix >> >> It is not very clear what matrix operations are used in fit(), so I >> can not tell what sparse matrixes should be used. Thanks. >> >> -- >> Regards, >> Peng >> _______________________________________________ >> scikit-learn mailing list >> scikit-learn@python.org >> https://mail.python.org/mailman/listinfo/scikit-learn >> > > > -- > Guillaume Lemaitre > Scikit-learn @ Inria Foundation > https://glemaitre.github.io/ > -- Guillaume Lemaitre Scikit-learn @ Inria Foundation https://glemaitre.github.io/
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