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svm-train wrapper running cross-validation in parallel

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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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