Additions / Bug fixes V 1.4
svm, svr : new svmtorch optimizer, libsvm should now work for regression properly, too.
gproc : new Gaussian process object
relvm_r: new Relevance Vector Machine object
mutinf: new mutual information feat. sel object
kmp: new kernel matching pursuit object
kpca object changed:
o - In the old object, d.X had to be a kernelmatrix and the
child field was emtpy. Now the child field (kernel) is
kernel('linear') by default and d is assumed to be data. If
you want to simulate the old behaviour you can use custom
kernel.
o - The eigenvecs of the kernelmatrix are sorted according to
the absoulte value of the eigenvals in decreasing order.
o - There is also some code added to treat degenerated subspaces correctly.