I'm using scikit-learn to fit a multivariate Gaussian Mixture Model to some data (which works brilliantly). But I need to be able to get a new GMM conditional on some of the variables, and the scikit toolkit doesn't seem to be able to do that, which surprised me because it seems like a pretty basic thing to want to do.
Wikipedia has a good explanation of what I'm trying to do (for a single Gaussian, not a GMM), and it's just possible I might be able to implement it myself, but my matrix maths isn't great and I can see it taking a long time. Is there a really easy way of doing this (in which case, could it be added as an example in the documentation?) or might it get added to sklearn? Thanks in advance, Tom ------------------------------------------------------------------------------ Dive into the World of Parallel Programming. The Go Parallel Website, sponsored by Intel and developed in partnership with Slashdot Media, is your hub for all things parallel software development, from weekly thought leadership blogs to news, videos, case studies, tutorials and more. Take a look and join the conversation now. http://goparallel.sourceforge.net/ _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
