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herisvm project is a collection of simple tools implementing evaluation algorithms for classification (machine learning). In particular heri-eval implements N-fold cross-validation where training and testing is run in parallel. This may be useful if you use multi-CPU computer. Run heri-eval -h, heri-stat -h and heri-split -h for documentation and examples. Also see doc/ subdirectory.
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svm-train wrapper running cross-validation in parallel
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