I'm getting a memory error trying to do KernelPCA on a data set of 30.000 texts. RandomizedPCA works alright. I think what's happening is that RandomizedPCA works with sparse arrays and KernelPCA don't.
Does anyone have a list of learning methods that are currently implemented with sparse array support in scikits-learn? --- Rafael Calsaverini Dep. de Física Geral, Sala 336 Instituto de Física - Universidade de São Paulo [email protected] http://stoa.usp.br/calsaverini/weblog CEL: (11) 7525-6222 USP: (11) 3091-6803 ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
