mirror of https://github.com/CGAL/cgal
Merge pull request #5530 from jmullee/patch-1
Tutorial_GIS.txt: fandom rorest -> random forest
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@ -276,7 +276,7 @@ classifier currently available in \cgal is the %random forest from
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ETHZ. As it is a supervised classifier, a training set is needed.
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The following snippet shows how to use some manually selected training
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set to train a %fandom rorest classifier and compute a classification
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set to train a %random forest classifier and compute a classification
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regularized by a graph cut algorithm:
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\snippet Classification/gis_tutorial_example.cpp Classification
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