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Imagery: add libsvm based imagery classification
A pair of modules revealing most of features of libsvm to GRASS. Libsvm is a popular library used in many machine learning programs (including scikit-learn). Contrary to some add-ons, this is a pure C implementation thus bypassing Python and depending on presence of libsvm.
Missing features:
- ability to use a precomputed kernel
- ability to provide weights for classifying unbalanced data
- parallel processing for value prediction/estimation
This is still a WIP as some rough edges still need to be ironed out.