I'd say we're lacking in the optimization and classification department.
While there are libraries for this, they are mostly bindings to C libraries
which makes it more difficult to get information out of the algorithm. We
have implemented BFGS and Nelder-mead here:
https://github.com/glutamate/probably-baysig/tree/master/src/Math/Probably
but that isn't officially open sourced (and lacking L-BFGS).
We're also a lot of image processing now, and native Haskell
implementations of SIFT and Gaussian mixture model fitting would be
extremely useful.
Tom
On Thu, Nov 20, 2014 at 5:44 PM, felipe zapata
Hi all, I want to develop some tools on top of Vector and Repa, and I've wondered what tools could be useful that are not already on hmatrix.
Any suggestions would be appreciated,
Felipe Z.
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