i came across some code that uses calls like
LinearAlgebra.eigenvectors(L) and Numeric.matrixmultiply(v, x) which
gives compilation errors on my new numpy installation.Is it possible
to get such code compiled while using new version of numpy?
when evalues, evectors = LinearAlgebra.eigenvectors(L) is computed for
a symmetric covariance matrix L ,how are eigenvectors arranged in
evectors? are they in columns?can i simply replace the above call by
linalg.eigh()?
Similarly can i just replace Numeric.matrixmultiply(v, x) with
numpy.dot() ,
or is there something i must watch for in the above two cases?
