-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 On 09/04/15 13:56, Andy wrote: > Hi Dan. > > Scikit-learn focuses on "flat" signals and algorithms and we don't > usually add algorithms on time-series or nd-data, as that would > significantly widen the scope and complicate API. Maybe we should > add this to the FAQ.
Thanks. Yes, I hadn't realised that was a design decision. It turns out that the FAQ does explain the lack of HMMs or sequence prediction. I apply NMF to time-series (spectrograms), so I hadn't spotted the conceptual chasm! > FWIW I didn't have a very good experience when working with > convolutional (shouldn't it be that?) NMF. Why no use an > autoencoder approach? Thanks for the suggestion. Exploring a few different paradigms at the moment - Best Dan > Andy > > > On 04/09/2015 08:20 AM, Dan Stowell wrote: >> Hi all, >> >> Does anyone here have any experience/tips for _convolutive_ NMF >> in scikit-learn (or in numpy more generally)? scikit-learn has >> NMF decomposition, hooray, but nothing for the convolutive >> version. t "Convolutive" here means that the bases are not just >> 1-dimensional but 2-dimensional: the basic NMF model X=WH is >> expanded so that each element of H is convolved with an element >> of W, not just multiplied. Useful for timeseries such as audio >> spectrograms: >> >> http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.320.5545&rep =rep1&type=pdf >> >> >> http://eprints.maynoothuniversity.ie/1375/1/getPDF2.pdf >> >> Thanks Dan >> > > > ---------------------------------------------------------------------- - -------- > > BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT > Develop your own process in accordance with the BPMN 2 standard > Learn Process modeling best practices with Bonita BPM through live > exercises > http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- > event?utm_ > source=Sourceforge_BPM_Camp_5_6_15&utm_medium=email&utm_campaign=VA_SF > > _______________________________________________ > Scikit-learn-general mailing list > Scikit-learn-general@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/scikit-learn-general > - -- Dan Stowell EPSRC Research Fellow Centre for Digital Music Queen Mary, University of London Mile End Road, London E1 4NS http://www.mcld.co.uk/research/ -----BEGIN PGP SIGNATURE----- Version: GnuPG v1 iQIcBAEBAgAGBQJVJquJAAoJELbgx8oTdid8qEwP/iKTmenoxJntFAW/xJkNbfvO AX/2JK/w3GNzfq3bRwxGUPdpLBisfcB0DXRwvkHS5JyjzSKslTzV+l3f0uySF27Y HUCX5vC6y8C/Q7Gdq8x1mjkRLs0SdIvC/Zx68OqQ+JaJBSeWzDAyq0T3SdDgnG7q tFkVfG1gkVWsz/Kz3ByU0jRcWDxL7lScLxxeqpJ/foaCE9EhSKhDU5WiK5tOda0o /6bhZ5b8QNgfbsL02nk0BksUTPiZFVcakb0WKn8JoEsznRdf64DBxBClyVwxPYVX frsKcPDdFpQN2y4QnfFz8JZ7L/An6+hBgMHDBTcIUpXQtTDchnN+hh3nEDgksSrk VjUAVPNxDhap7eY9Cy5RaamssvPMqJN+zXMsJQOz5hBztu1RfO2nNeW2uKL4u/K6 DLFzOxbLN9CjiQtcwqffch+F7UyadSEBnGrXt5pwfyEExr0aR+z5e6ZmlMSGopit qFGObMdCQTd6SJ/OIoNWj4nUfCuKTHd877h5PlCUu9KEHXBrf9PI0QYCiLBofds7 FKkLTmDMDtDo+BBILhE1ScintHGk9XZPeM4WV2nzfAKCRO1cCDI6QX74Mu0hkiow sY0QIVw+UAgUYCnFEe1vkZ9l4qChKfvc6x6rjcNtIvrMihNTAsmOudPuGDlGwvNf ejmtcicyHh6LVLrpjAaa =2GFb -----END PGP SIGNATURE----- ------------------------------------------------------------------------------ BPM Camp - Free Virtual Workshop May 6th at 10am PDT/1PM EDT Develop your own process in accordance with the BPMN 2 standard Learn Process modeling best practices with Bonita BPM through live exercises http://www.bonitasoft.com/be-part-of-it/events/bpm-camp-virtual- event?utm_ source=Sourceforge_BPM_Camp_5_6_15&utm_medium=email&utm_campaign=VA_SF _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
